The Brain-Computer Interface market is estimated to reach a 2 billion dollar valuation by 2020. The 'Tansey Technique' resolves current measurements of brainwave activity.
This document provides an introduction to brainwaves and brainwave entrainment. It describes the five main brainwave patterns (gamma, beta, alpha, theta, delta), their associated frequencies in Hertz, the mental and neural states and processes associated with each pattern. Each brainwave pattern is involved in different cognitive processes and states of consciousness, from high-frequency gamma waves during deep focus to low-frequency delta waves during deep sleep or meditation.
1) The auditory evoked N1 response becomes attenuated when sounds are self-generated compared to listening to sounds. This is due to forward models in the motor cortex predicting and cancelling out self-generated sounds.
2) An experiment was conducted using MEG to measure brain activity while participants either listened to sounds, or self-generated sounds with or without cues. Greater attenuation of the N1 response and more motor cortex activity was found for self-initiated sounds.
3) The results provide evidence that intention and motor planning affect auditory processing, with more planning for self-initiated sounds linked to stronger N1 attenuation. This has applications in engineering, neuroscience, and understanding disorders like stuttering
This document provides an introduction to brain-computer interface (BCI) technology. It defines BCI as using brain signals measured by EEG to allow communication without muscle control, especially for paralyzed individuals. It describes the main components of a BCI system and different types of invasive and non-invasive BCIs. It also summarizes different BCI modalities including active, reactive, and passive BCIs and provides an overview of EEG, electrode placement, signal processing challenges, and applications of BCI technology.
Iaetsd detection of addiction of an individual andIaetsd Iaetsd
This document proposes a device to detect addiction and avoid addiction using embedded systems. It works by using EEG sensors to detect high beta brainwaves associated with stress or addiction. If high beta waves are detected, the device produces binaural beats within the alpha or theta range using two oscillators played through headphones. This is intended to entrain the brainwaves to a lower, more relaxed frequency using the brain's natural "frequency following response" to binaural beats, thus helping avoid addiction. The device is intended to be lightweight and portable for personal use in treating psychological addictions.
Brain-computer interfaces (BCI) allow communication between the brain and machines by collecting, interpreting, and outputting commands based on brain signals. The document profiles 29 neurotech companies working on BCI applications like neurostimulation, diagnosing brain injuries or disorders, and rehabilitation. It also explains the different types of BCI from non-invasive EEG sensors on the scalp to invasive electrodes implanted in the brain. Finally, it discusses current uses of BCI including controlling wheelchairs, toys, and drones just by thinking.
BRAIN MACHINE INTERFACE SYSTEM FOR PERSON WITH QUADRIPLEGIA DISEASEEditor IJCATR
Brain Machine Interface (BMI) system is very
helpful technique for the disabled and handicapped
person to express their emotion and feeling to someone
else with the help of EEG Signals coming out of our
brain. As we know that, the human brain is made up of
billions of interconnected neurons about the size of a
pinhead. As neurons interact with each other, patterns
manifest as singular thoughts such as a math calculation.
As a by-product, every interaction between neurons
creates a miniscule electrical discharge, measurable by
EEG (electroencephalogram) machines. This system
enables people with severe motor disabilities to send
command to electronic devices by help of their brain
waves. These signals can be used to control any
electronic devices like mouse cursor of the computer, a
wheel chair, a robotic arm etc. The research in this area of
BCI system (or BMI) uses the sequence of 256 channel
EEG data for the analysis of the EEG signals coming out
of our brain by using tradition gel based multi sensor
system, which is very bulky and not convenient to use in
real time application. So this particular work proposes a
convenient system to analyze the EEG signals, which
uses few dry sensors as compared to the tradition gel
based multi sensor system with wireless transmission
technique for capturing the brain wave patterns and
utilizing them for their application. The goal of this
research is to improve quality of life for those with severe
disabilities.
This document discusses brainwaves (EEG), which are fluctuations in electrical potential produced by neurons firing in the brain. It describes how brainwaves can be measured via EEG and outlines the main brainwave frequencies (alpha, beta, theta, delta), their associated mental states, and significance. Stimulating different brainwave frequencies through techniques like neurofeedback and brainwave entrainment can help induce specific mental states and potentially treat disorders.
This document discusses brainwaves (EEG), which are fluctuations in electric potential recorded from the brain. It defines different types of brainwaves (alpha, beta, theta, delta) and the mental states associated with each. The document also discusses how brainwaves can be stimulated using light and sound via a process called brainwave entrainment. Entrainment uses rhythmic stimuli to synchronize brainwaves and access different mental states. Measuring brainwaves can provide insights into a person's mental state and has applications in research, diagnosis, and treatment of mental disorders.
This document provides an introduction to brainwaves and brainwave entrainment. It describes the five main brainwave patterns (gamma, beta, alpha, theta, delta), their associated frequencies in Hertz, the mental and neural states and processes associated with each pattern. Each brainwave pattern is involved in different cognitive processes and states of consciousness, from high-frequency gamma waves during deep focus to low-frequency delta waves during deep sleep or meditation.
1) The auditory evoked N1 response becomes attenuated when sounds are self-generated compared to listening to sounds. This is due to forward models in the motor cortex predicting and cancelling out self-generated sounds.
2) An experiment was conducted using MEG to measure brain activity while participants either listened to sounds, or self-generated sounds with or without cues. Greater attenuation of the N1 response and more motor cortex activity was found for self-initiated sounds.
3) The results provide evidence that intention and motor planning affect auditory processing, with more planning for self-initiated sounds linked to stronger N1 attenuation. This has applications in engineering, neuroscience, and understanding disorders like stuttering
This document provides an introduction to brain-computer interface (BCI) technology. It defines BCI as using brain signals measured by EEG to allow communication without muscle control, especially for paralyzed individuals. It describes the main components of a BCI system and different types of invasive and non-invasive BCIs. It also summarizes different BCI modalities including active, reactive, and passive BCIs and provides an overview of EEG, electrode placement, signal processing challenges, and applications of BCI technology.
Iaetsd detection of addiction of an individual andIaetsd Iaetsd
This document proposes a device to detect addiction and avoid addiction using embedded systems. It works by using EEG sensors to detect high beta brainwaves associated with stress or addiction. If high beta waves are detected, the device produces binaural beats within the alpha or theta range using two oscillators played through headphones. This is intended to entrain the brainwaves to a lower, more relaxed frequency using the brain's natural "frequency following response" to binaural beats, thus helping avoid addiction. The device is intended to be lightweight and portable for personal use in treating psychological addictions.
Brain-computer interfaces (BCI) allow communication between the brain and machines by collecting, interpreting, and outputting commands based on brain signals. The document profiles 29 neurotech companies working on BCI applications like neurostimulation, diagnosing brain injuries or disorders, and rehabilitation. It also explains the different types of BCI from non-invasive EEG sensors on the scalp to invasive electrodes implanted in the brain. Finally, it discusses current uses of BCI including controlling wheelchairs, toys, and drones just by thinking.
BRAIN MACHINE INTERFACE SYSTEM FOR PERSON WITH QUADRIPLEGIA DISEASEEditor IJCATR
Brain Machine Interface (BMI) system is very
helpful technique for the disabled and handicapped
person to express their emotion and feeling to someone
else with the help of EEG Signals coming out of our
brain. As we know that, the human brain is made up of
billions of interconnected neurons about the size of a
pinhead. As neurons interact with each other, patterns
manifest as singular thoughts such as a math calculation.
As a by-product, every interaction between neurons
creates a miniscule electrical discharge, measurable by
EEG (electroencephalogram) machines. This system
enables people with severe motor disabilities to send
command to electronic devices by help of their brain
waves. These signals can be used to control any
electronic devices like mouse cursor of the computer, a
wheel chair, a robotic arm etc. The research in this area of
BCI system (or BMI) uses the sequence of 256 channel
EEG data for the analysis of the EEG signals coming out
of our brain by using tradition gel based multi sensor
system, which is very bulky and not convenient to use in
real time application. So this particular work proposes a
convenient system to analyze the EEG signals, which
uses few dry sensors as compared to the tradition gel
based multi sensor system with wireless transmission
technique for capturing the brain wave patterns and
utilizing them for their application. The goal of this
research is to improve quality of life for those with severe
disabilities.
This document discusses brainwaves (EEG), which are fluctuations in electrical potential produced by neurons firing in the brain. It describes how brainwaves can be measured via EEG and outlines the main brainwave frequencies (alpha, beta, theta, delta), their associated mental states, and significance. Stimulating different brainwave frequencies through techniques like neurofeedback and brainwave entrainment can help induce specific mental states and potentially treat disorders.
This document discusses brainwaves (EEG), which are fluctuations in electric potential recorded from the brain. It defines different types of brainwaves (alpha, beta, theta, delta) and the mental states associated with each. The document also discusses how brainwaves can be stimulated using light and sound via a process called brainwave entrainment. Entrainment uses rhythmic stimuli to synchronize brainwaves and access different mental states. Measuring brainwaves can provide insights into a person's mental state and has applications in research, diagnosis, and treatment of mental disorders.
The document discusses several ways that neurofeedback training has been used or studied for various medical conditions and cognitive improvements. Specifically, it describes research on using neurofeedback to help treat epilepsy, ADHD, depression, and potentially boost memory, learning, reasoning and cognition. It also discusses how neurofeedback may help improve fine motor skills for professions like surgery. The training works by using EEG to measure brain waves and provide feedback to help people learn to consciously control and modify their brain wave patterns.
This document discusses brain waves and neurofeedback. It describes the different types of brain waves (delta, theta, alpha, beta, gamma) and what states each is associated with. It then discusses classic EEG which is used to diagnose neurological issues like seizures. Next, it covers neurofeedback (EEG biofeedback) which is used for diagnostics and therapy by teaching patients to regulate their brain waves. It also discusses 3D neurofeedback using LORETA which provides more advanced brain imaging and targeting of networks during neurofeedback training. Midbrain activation and the Shichida method of right brain training is briefly covered.
This document discusses different types of neural oscillations observed in the brain, including alpha waves, delta waves, theta rhythm, mu waves, beta waves, and gamma waves. It provides details on the frequency ranges and functions of each type of wave. For example, it states that alpha waves originate from the occipital lobe during relaxation with closed eyes, delta waves are associated with deep sleep, and gamma waves may be implicated in creating unified conscious perception. The document also discusses how neural oscillations are involved in cognitive functions and can be used to transmit information across brain regions in a radio-like fashion on different frequencies.
An EEG detects electrical activity in the brain through electrodes placed on the scalp. Brainwaves are produced by synchronized electrical pulses from neuron communication and are divided into bands based on frequency and function: delta (1-3 Hz) occur during deep sleep; theta (4-7 Hz) during light sleep or daydreaming; alpha (8-12 Hz) during relaxation; beta (13-38 Hz) during focused mental activity; and gamma (39-42 Hz) associated with perception and consciousness. EEGs and brainwave activity provide information about brain states from deep sleep to high alertness.
The document discusses the extirpation method for determining the function of parts of the brain. The extirpation method involves removing or destroying a part of the brain and observing the resulting changes in behavior. The document then describes several techniques used in extirpation experiments, including different levels of the central nervous system where extirpation can be done, local damage methods, stimulation methods, and various recording techniques like EEG.
This document discusses different types of brain waves and neural oscillations, including their frequencies and functions. It provides information on alpha, delta, theta, mu, beta, and gamma waves. Key points include:
- Different types of brain waves are associated with different cognitive states, like relaxation vs concentration. They facilitate processes like memory and perception.
- Neural oscillations occur throughout the nervous system and can be measured by EEG. Their synchronization is linked to cognitive functions.
- Frequencies of gamma oscillations route information flow in the hippocampus. The brain uses different wave frequencies to transmit different kinds of information between regions.
This document describes a brainwave-controlled robotic arm. The arm is designed to help disabled individuals express themselves. Brainwaves are detected by a Neurosky headset and transmitted via Bluetooth to an Arduino microcontroller. The microcontroller maps the brainwave signals to control servo motors that move the artificial arm. Specifically, different levels of attention and meditation detected in the brainwaves will trigger opening and closing of the hand or elbow movement of the arm. The system was tested on 10 people with promising but imperfect results, suggesting it needs further development to achieve full control of the arm's movements.
Brain implants By Neelima Sharma,M.Sc Biotechnology,Women Christian College,C...Neelima Sharma
They can electrically stimulate, block, or record neural signals to treat various conditions like depression, seizures, epilepsy, Parkinson's, hearing loss, vision impairment, and paralysis. Recent advances show promise for restoring lost mental functions through brain-computer interfaces. However, the development of these implants raises ethical concerns around security, privacy, side effects, costs, and animal testing.
Our brains are surprisingly adaptable and open to learning. Our thoughts, feelings, actions, memories, learning and imaginations are the result of what happens in our synapses. A functional normal brain should have good balance of brain waves, blood flow and matabolism and neurotransmitters. Brain training and neuroplasticity by different neuromodulation modalities will help us to have a better mental state and thus a better world.
This article is a review of neurofeedback techniques in the broad context of various clinical implications. Authors presented the neurophysiological background of these developing methods in relation to the state-of-the-art techniques. The broad range of methods of neurofeedback were reviewed, comprising the transfer of information, automation, brain-computer interface, multichannel Z-Score neurofeedback and slow cortical potentials. Neurofeedback may be an effective tool for self-regulation, useful for achieving better selfknowledge and enhanced cognitive skills. A tailored, dedicated program, based on quantitative electroencephalographic (QEEG) assessment and/or Z-Score should be implemented for a given patient in order to gain trust and fulfill the compliance. The proven clinical benefits of multi-channel neurofeedback, targeting regulation of particular brain regions, or inducing specific neural patterns, may be an alternative method for treating diseases in a non-invasive, introspective way. Effective modulation of the physiological functions which may affect various neural mechanisms of cognition and behavior seems to be the future perspective of neurofeedback
This document discusses an EEG-based brain-computer interface project. It provides background on EEG, including how it works, common frequency bands and their clinical significance. It then discusses the project, which involves assembling EEG hardware, developing software for EEG signal processing and interfacing it with a computer. The work done so far includes purchasing components, starting PCB assembly and researching relevant software. Future plans include developing code for EEG signal processing, relating the EEG to the computer, and testing the project.
EEG stands for Electroencephalography
It’s record the electrical activity of brain.
During an EEG test , small electrodes like cup or disc type are placed on the scalp.
They pick up the brain’s Eletrical signals and send them to a machine called Electroencephalogram.
This document discusses mind control and psychotronics technologies. It introduces psychotronics as the field dealing with constructing devices to enhance or reproduce psi phenomena. It describes silent sound spread spectrum technology which can propagate acoustic or vibrational signals for analysis of the mind. The document outlines different brain wave frequencies and how brain wave machines can generate similar frequencies for various applications like defense, law enforcement, and medical treatment. It concludes that mind control has potential to revolutionize humanity if used properly.
Review Paper on Brain-Computer Interface and Recent TrendsEditor IJMTER
This document discusses brain-computer interfaces (BCI), which allow direct communication between the brain and external devices. It begins by explaining electrical activity in the brain and different types of brain waves. It then provides an overview of BCI, describing invasive, non-invasive, and partially invasive approaches. A prominent open-source BCI platform called OpenBCI is also summarized. Potential applications of BCI technology are outlined in fields like medicine, entertainment, military, and space exploration. The document concludes by noting that BCI may revolutionize how humans interact with computers and could benefit those with disabilities, but also raises privacy concerns that would need addressing.
Telepathy is the ability to read another person's thoughts or communicate mentally. The term was coined in 1882 and later studied to refer to the hypothesized transmission of information from one person to another without using any known human senses. The document discusses the history of telepathy research, how it may work using EEG and TMS brain scanning methods, and different categories of telepathic abilities like telepathic communication and perception. While not proven to exist, telepathy remains an area of interest in parapsychology and science fiction.
1) The study tested the effects of meditation and caffeine on short-term memory and brain wave activity.
2) Results showed meditation improved short-term memory test scores but caffeine reduced scores compared to a control group.
3) Brain wave analysis found meditation and caffeine decreased beta and gamma wave amplitudes compared to the control during memory tasks, suggesting both may impact brain activity related to memory.
Transcranial Brain Stimulation: Science and EthicsJames David Saul
This document discusses the promise and potential risks of noninvasive brain stimulation techniques like transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS). It notes that these techniques have shown promise in transiently improving cognition in domains like language, learning, attention, and problem-solving. They have also shown potential for mood enhancement and manipulating social cognition. However, the document also discusses safety concerns, issues of character and justice, and questions around autonomy that arise from the ability to manipulate human cognition and behavior without consent through these techniques.
The document proposes integrating EEG, fMRI, and transcranial magnetic stimulation technologies to create an audiovisual art piece solely based on an individual's brain activity and thoughts. This fusion of neuroscience and art could also have medical applications such as diagnosing motor and sensory disorders and enhancing or inhibiting specific brain activity. However, manipulating brain structures could alter memory and consciousness, so use of these technologies needs to be carefully monitored.
This document provides information about brainstem auditory evoked potentials (BAEPs). It discusses the anatomy and physiology of the peripheral and central auditory systems, including the pathways from the inner ear to the brainstem and cortex. It describes the generators of BAEP waveforms and standards for BAEP testing according to the American Clinical Neurophysiology Society, including stimulus parameters, recording settings, and analysis time. The document is intended to inform readers about BAEP testing and interpretation.
The document discusses EEG of children and sleep activity. It provides background on the use of EEG and describes the different normal EEG waves seen in children including alpha, beta, theta, and delta waves. It discusses how EEG is used to study sleep and outlines the different sleep stages. Key points covered include the international 10-20 system for electrode placement, common EEG artifacts, and physiological measures used to study sleep such as EEG, EOG, and EMG tracings.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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The document discusses several ways that neurofeedback training has been used or studied for various medical conditions and cognitive improvements. Specifically, it describes research on using neurofeedback to help treat epilepsy, ADHD, depression, and potentially boost memory, learning, reasoning and cognition. It also discusses how neurofeedback may help improve fine motor skills for professions like surgery. The training works by using EEG to measure brain waves and provide feedback to help people learn to consciously control and modify their brain wave patterns.
This document discusses brain waves and neurofeedback. It describes the different types of brain waves (delta, theta, alpha, beta, gamma) and what states each is associated with. It then discusses classic EEG which is used to diagnose neurological issues like seizures. Next, it covers neurofeedback (EEG biofeedback) which is used for diagnostics and therapy by teaching patients to regulate their brain waves. It also discusses 3D neurofeedback using LORETA which provides more advanced brain imaging and targeting of networks during neurofeedback training. Midbrain activation and the Shichida method of right brain training is briefly covered.
This document discusses different types of neural oscillations observed in the brain, including alpha waves, delta waves, theta rhythm, mu waves, beta waves, and gamma waves. It provides details on the frequency ranges and functions of each type of wave. For example, it states that alpha waves originate from the occipital lobe during relaxation with closed eyes, delta waves are associated with deep sleep, and gamma waves may be implicated in creating unified conscious perception. The document also discusses how neural oscillations are involved in cognitive functions and can be used to transmit information across brain regions in a radio-like fashion on different frequencies.
An EEG detects electrical activity in the brain through electrodes placed on the scalp. Brainwaves are produced by synchronized electrical pulses from neuron communication and are divided into bands based on frequency and function: delta (1-3 Hz) occur during deep sleep; theta (4-7 Hz) during light sleep or daydreaming; alpha (8-12 Hz) during relaxation; beta (13-38 Hz) during focused mental activity; and gamma (39-42 Hz) associated with perception and consciousness. EEGs and brainwave activity provide information about brain states from deep sleep to high alertness.
The document discusses the extirpation method for determining the function of parts of the brain. The extirpation method involves removing or destroying a part of the brain and observing the resulting changes in behavior. The document then describes several techniques used in extirpation experiments, including different levels of the central nervous system where extirpation can be done, local damage methods, stimulation methods, and various recording techniques like EEG.
This document discusses different types of brain waves and neural oscillations, including their frequencies and functions. It provides information on alpha, delta, theta, mu, beta, and gamma waves. Key points include:
- Different types of brain waves are associated with different cognitive states, like relaxation vs concentration. They facilitate processes like memory and perception.
- Neural oscillations occur throughout the nervous system and can be measured by EEG. Their synchronization is linked to cognitive functions.
- Frequencies of gamma oscillations route information flow in the hippocampus. The brain uses different wave frequencies to transmit different kinds of information between regions.
This document describes a brainwave-controlled robotic arm. The arm is designed to help disabled individuals express themselves. Brainwaves are detected by a Neurosky headset and transmitted via Bluetooth to an Arduino microcontroller. The microcontroller maps the brainwave signals to control servo motors that move the artificial arm. Specifically, different levels of attention and meditation detected in the brainwaves will trigger opening and closing of the hand or elbow movement of the arm. The system was tested on 10 people with promising but imperfect results, suggesting it needs further development to achieve full control of the arm's movements.
Brain implants By Neelima Sharma,M.Sc Biotechnology,Women Christian College,C...Neelima Sharma
They can electrically stimulate, block, or record neural signals to treat various conditions like depression, seizures, epilepsy, Parkinson's, hearing loss, vision impairment, and paralysis. Recent advances show promise for restoring lost mental functions through brain-computer interfaces. However, the development of these implants raises ethical concerns around security, privacy, side effects, costs, and animal testing.
Our brains are surprisingly adaptable and open to learning. Our thoughts, feelings, actions, memories, learning and imaginations are the result of what happens in our synapses. A functional normal brain should have good balance of brain waves, blood flow and matabolism and neurotransmitters. Brain training and neuroplasticity by different neuromodulation modalities will help us to have a better mental state and thus a better world.
This article is a review of neurofeedback techniques in the broad context of various clinical implications. Authors presented the neurophysiological background of these developing methods in relation to the state-of-the-art techniques. The broad range of methods of neurofeedback were reviewed, comprising the transfer of information, automation, brain-computer interface, multichannel Z-Score neurofeedback and slow cortical potentials. Neurofeedback may be an effective tool for self-regulation, useful for achieving better selfknowledge and enhanced cognitive skills. A tailored, dedicated program, based on quantitative electroencephalographic (QEEG) assessment and/or Z-Score should be implemented for a given patient in order to gain trust and fulfill the compliance. The proven clinical benefits of multi-channel neurofeedback, targeting regulation of particular brain regions, or inducing specific neural patterns, may be an alternative method for treating diseases in a non-invasive, introspective way. Effective modulation of the physiological functions which may affect various neural mechanisms of cognition and behavior seems to be the future perspective of neurofeedback
This document discusses an EEG-based brain-computer interface project. It provides background on EEG, including how it works, common frequency bands and their clinical significance. It then discusses the project, which involves assembling EEG hardware, developing software for EEG signal processing and interfacing it with a computer. The work done so far includes purchasing components, starting PCB assembly and researching relevant software. Future plans include developing code for EEG signal processing, relating the EEG to the computer, and testing the project.
EEG stands for Electroencephalography
It’s record the electrical activity of brain.
During an EEG test , small electrodes like cup or disc type are placed on the scalp.
They pick up the brain’s Eletrical signals and send them to a machine called Electroencephalogram.
This document discusses mind control and psychotronics technologies. It introduces psychotronics as the field dealing with constructing devices to enhance or reproduce psi phenomena. It describes silent sound spread spectrum technology which can propagate acoustic or vibrational signals for analysis of the mind. The document outlines different brain wave frequencies and how brain wave machines can generate similar frequencies for various applications like defense, law enforcement, and medical treatment. It concludes that mind control has potential to revolutionize humanity if used properly.
Review Paper on Brain-Computer Interface and Recent TrendsEditor IJMTER
This document discusses brain-computer interfaces (BCI), which allow direct communication between the brain and external devices. It begins by explaining electrical activity in the brain and different types of brain waves. It then provides an overview of BCI, describing invasive, non-invasive, and partially invasive approaches. A prominent open-source BCI platform called OpenBCI is also summarized. Potential applications of BCI technology are outlined in fields like medicine, entertainment, military, and space exploration. The document concludes by noting that BCI may revolutionize how humans interact with computers and could benefit those with disabilities, but also raises privacy concerns that would need addressing.
Telepathy is the ability to read another person's thoughts or communicate mentally. The term was coined in 1882 and later studied to refer to the hypothesized transmission of information from one person to another without using any known human senses. The document discusses the history of telepathy research, how it may work using EEG and TMS brain scanning methods, and different categories of telepathic abilities like telepathic communication and perception. While not proven to exist, telepathy remains an area of interest in parapsychology and science fiction.
1) The study tested the effects of meditation and caffeine on short-term memory and brain wave activity.
2) Results showed meditation improved short-term memory test scores but caffeine reduced scores compared to a control group.
3) Brain wave analysis found meditation and caffeine decreased beta and gamma wave amplitudes compared to the control during memory tasks, suggesting both may impact brain activity related to memory.
Transcranial Brain Stimulation: Science and EthicsJames David Saul
This document discusses the promise and potential risks of noninvasive brain stimulation techniques like transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS). It notes that these techniques have shown promise in transiently improving cognition in domains like language, learning, attention, and problem-solving. They have also shown potential for mood enhancement and manipulating social cognition. However, the document also discusses safety concerns, issues of character and justice, and questions around autonomy that arise from the ability to manipulate human cognition and behavior without consent through these techniques.
The document proposes integrating EEG, fMRI, and transcranial magnetic stimulation technologies to create an audiovisual art piece solely based on an individual's brain activity and thoughts. This fusion of neuroscience and art could also have medical applications such as diagnosing motor and sensory disorders and enhancing or inhibiting specific brain activity. However, manipulating brain structures could alter memory and consciousness, so use of these technologies needs to be carefully monitored.
This document provides information about brainstem auditory evoked potentials (BAEPs). It discusses the anatomy and physiology of the peripheral and central auditory systems, including the pathways from the inner ear to the brainstem and cortex. It describes the generators of BAEP waveforms and standards for BAEP testing according to the American Clinical Neurophysiology Society, including stimulus parameters, recording settings, and analysis time. The document is intended to inform readers about BAEP testing and interpretation.
The document discusses EEG of children and sleep activity. It provides background on the use of EEG and describes the different normal EEG waves seen in children including alpha, beta, theta, and delta waves. It discusses how EEG is used to study sleep and outlines the different sleep stages. Key points covered include the international 10-20 system for electrode placement, common EEG artifacts, and physiological measures used to study sleep such as EEG, EOG, and EMG tracings.
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Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
2. WHO IS DR. MICHAEL A. TANSEY?
• I am Dr. Michael A. Tansey. I am a past (2nd) President of the
International Society for Neurofeedback and Research. My web site is
www.drmichaeltansey.com. I am the General Partner of EMTEE
ASSOCIATES, LLC which owns my Intellectual Property Portfolio.
• I believe that my Intellectual Property Portfolio represents a proven,
field-tested, disruptive technology with respect to the Brain-
Computer Interface market which is estimated to reach a 2 billion
dollar valuation by 2020. I believe the historical time stamp and
seminal nature of my portfolio will prevent competitors from
designing around my Intellectual Property and in process
continuation patents.
3. THE MARKET OPPORTUNITY
• The Brain-Computer Interface Market is currently dominated by
individuals/companies with deep pockets (Bill Gates, Elon Musk,
Bryan Johnson), that are fueling the search for a Brain-Computer
Interface that actually measures useful brainwave activity.
• In addition, multiple companies (Cognionics Inc.,Neurosky,
Compumedics Limited, EMOTIV Inc, Avertus Inc., Brain Products
GMBH, Advanced Brain Monitoring, Inc.) are pursuing development
of a wireless EEG headset that actually measures useful brainwave
activity.
4. THE MARKET OPPORTUNITY
• Applications include advanced diagnostic and treatment protocols in
Healthcare, Lie Detection and Forensics, Defense/Military Usage,
Entertainment/Virtual Reality Enhancement, Education/ADHD
Protocols.
5. WHY IS MY IP/TECHNOLOGY
DISRUPTIVE?
• My field-tested IP based technology is disruptive due to the fact that
the current efforts-to-date, to produce a Brain-Computer Interface
that actually measures useful brainwave activity, across the population
and across individuals in repeat measurements, is based on a flawed
and commonly misunderstood metric –brainwaves commonly
referenced as Alpha, Theta, Beta, and Delta.
6. WHY DELTA, THETA, AND ALPHA ARE
SCIENTIFICALLY FLAWED
• The Delta, Theta, and Alpha brainwave characterizations - that have
been commonly and erroneously utilized as independent, stand alone
measures of EEG activity since 1929 - are scientifically problematic.
• In 1929, Hans Berger did measurements of the electrical phenomena
of the brain. Brainwave activity - like all electrical activity is
referenced in cycle-per-second electrical discharges. A 10 cycle-per-
second brainwave is commonly referenced as a 10 Hz brainwave.
Brainwave energy is produced by the brain in 1 cycle-per-second
increments along its range.
7. THE ORIGIN OF DELTA, THETA, AND
ALPHA
• Due to the primitive state of technology at that time, Hans Berger
could not resolve brain electrical activity into its actual basic electrical
constituents.
• His primitive measuring equipment only allowed him to measure
brainwave activity in 5 cycle-per-second wide windows of
observation and recording. So, in point of fact, Berger’s 1929
technology allowed the observation of three windows of -
AVERAGED ELECTRICAL ENERGY - referenced to this day as
Delta, Theta, Alpha.
8. WHAT ARE DELTA, THETA, AND
ALPHA
• Delta was the summed average of the brainwave activity across 0.5
cycles-per-second through 4 cycles-per-second. Berger found some
people - NOT ALL PEOPLE - manifested sleepiness when this
averaged energy window was observed.
• Theta was the summed average of the brainwave activity across 4
cycles-per-second through 8 cycles-per-second. Berger found some
people - NOT ALL PEOPLE - manifested light sleep and daydreaming
when this averaged energy window was observed.
9. WHAT ARE DELTA, THETA, AND
ALPHA
• Alpha was the summed average of the brainwave activity across 8
cycles-per-second through 12 cycles-per-second. Berger found some
people - NOT ALL PEOPLE - manifested a fully awake and
conscious, but relaxed state of mind.
• These artificial windows of observation, derived from primitive
technology, have been uncritically copied and used from 1929 to this
day.
10. DELTA, THETA, ALPHA
CROSS-CONTAMINATED MEASURES –
CROSS-CONTAMINATED
ATTRIBUTIONS
• Some general mental states were also occasionally found to agree
with Berger’s observations - BUT NOT FOR ALL PEOPLE - but
enough to continue their use. Amazingly, the fact that each of these
primitive technology-constrained designations (Delta, Theta, Alpha)
shared at least 20% of their brainwave energy composition with the
next so-identified cycle-per-second brainwave average, was not seen
to be structurally or diagnostically problematic.
• Delta’s electrical average includes 4 cycle-per-second brainwave
activity contributing 20% of Delta’s brainwave energy to any mental
state it contributes to.
11. DELTA, THETA, ALPHA
CROSS-CONTAMINATED MEASURES –
CROSS-CONTAMINATED
ATTRIBUTIONS
• Theta also includes the exact same 4 cycles-per-second brainwave
activity as Delta, with it contributing 20% of all brainwave activity to
any mental state attributable to Theta.
• Alpha also includes the same 8 cycles-per-second brainwave activity
as Theta, with it contributing 20% of all brainwave activity to any
mental state attributable to Alpha.(See Attached Chart). Small wonder
that such cross-contamination of 20% of each of these primitive
averages yielded results for some -BUT NOT ALL PEOPLE - so
measured by them.
12. HOW “SCIENCE” HAS CONTINUED TO
DEFINE “BRAINWAVES” SINCE 1929
1. Delta Waves – From approximately 0.5 to 4 Hz (1 Hz means one complete
cycle in 1 second i.e. on an EEG you would see a wave with one peak and one
trough). Each image below depicts a one second snapshot of human brainwave
activity, as detected by an EEG.
Delta waves are often associated with being fast sleep, hyper-relaxed or in a deep
meditation. Delta waves are also the dominant brainwave in babies up to about 1
year. Certain frequencies, in the delta range, have been shown to trigger the body's
healing and growth mechanisms.
Theta Waves – Between 4 and 8 Hz
Theta waves indicate a normal or light sleep, drowsiness or daydreaming, and
creative and imaginative thinking that is led by the subconscious i.e. when ideas
suddenly just come to you. This suggests that Theta waves allow for easier
communication between the conscious and subconscious minds. Theta waves have
also been identified as key in learning, memory and reduction of stress. This is the
standard frequency range for children up to their early teenage years.
Alpha Waves – Between 8 and 12 Hz
Alpha rates are increased by closing the eyes and relaxing, and can be reduced by
opening one's eyes or any concentrated effort. They are associated with a fully
awake and conscious but relaxed state of mind. When you get back in from school
or work, sit down and put on the TV your brainwaves will be in the alpha range.
This is the typical relaxation range for anyone over the age of about 13.
14. HOW THE TANSEY TECHNIQUE
RESOLVES “BRAINWAVES”
• Where changes in the exact energy in all of the Human EEG is
measured in 1 cycle-per-second increments.
15. HISTORY OF MY IP AND FIELD-
TESTED TECHNOLOGY
• I was the first to identify and patent the use of 1 Hz or less
brainwave bands to track and train cognitive states.
• I assembled and oversaw the three-man team that produced my
proprietary field-tested technology that, for the first time in the
literature of EEG research, accurately identify and train many mind-
brain states held in common across a diverse population.
16. HISTORY OF MY IP AND FIELD-
TESTED TECHNOLOGY
• These results were published in the highly prestigious, peer reviewed
journal - International Journal of Neuroscience
• I was the first to identify and Patent the use of pairs of 1Hz or less
Brainwave bands to identify the brainwave signature of one’s own
brain acknowledging the truthfulness of a verbalized statement.
Tansey, M. A., Tansey, J. A. & Tachiki, K. 1994a.
Electroencephalographic cartography of conscious states.
International Journal of Neuroscience, 77, 89-98.
17. HISTORY OF MY IP AND FIELD-
TESTED TECHNOLOGY
• I assembled and oversaw the three-man team that produced my
proprietary field-tested technology that was, for the first time in the
literature of EEG research, able to accurately identify the brain state
and EEG signature, held in common for a diverse population, for the
brain’s acknowledgement of a verbalized truthful statement.
18. HISTORY OF MY IP AND FIELD-
TESTED TECHNOLOGY
• The initial results were published in the peer-reviewed journal -
Subtle Energies.
Tansey, J.A., Michael A. 2002. A computerized instrument for
forensic credibility assessment. Initial standardization and
test-retest findings. Subtle Energies, 12, 3, 1-15.
Tansey, Michael A. 2005. TruthScan – A computerized
instrument for credibility assessment: Initial field testing data
for new exculpatory verification of veracity technology. Subtle
Energies, 15, 1, 63-73.
19. HISTORY OF MY IP AND FIELD-
TESTED TECHNOLOGY
• Insofar as my most recent Continuation Patent: I was the first to
identify and patent the full use of all pairs of 1 Hz or less Brainwave
bands, in all their manifestations from 2 Hz through 190 Hz, to assist
a subject to learn to identify and alter his or her brain state.
• I assembled and oversaw the three-man team that produced my
proprietary field tested technology that was, for the first time in the
literature of EEG research, able to accurately identify the brain state
and EEG signature, held in common for a diverse population, and
identify same for an individual and to guide then accurately into
another desired and previously charted brain sate. In this I claim the use
of all Brainwave pairs of 1 Hz or less, from 2 Hz through 190 Hz, in all
manifestations.
20. SUMMARY
• The above explanatory material, supports the belief that my
Intellectual Property Portfolio represents a scientifically accurate,
field-tested, disruptive technology with respect to the Brain-
Computer Interface market in comparison to those technologies
relying on the uncritical use of Delta, Theta, and Alpha, which is
estimated to reach a 2 billion dollar valuation by 2020.
• Above please find a charting of Alpha, Theta, and Beta, as well as a
comparison charting of the Tansey Technique. In the “standard”
Alpha, Theta, Beta charting one see three measures going up or
down or going along steadily across a measure of time.
21. SUMMARY
• In the Green charting, using the Tansey Technique, one sees the
actual percentage change in all the individual cycle-per-second
brainwave bands, averaged out by Alpha, Theta, Beta and Delta – and
beyond Delta, Alpha, Theta, and Beta- through 190 HZ. The
“standard” usage provides singular, energy averaged, cross
contaminated and confounded measures, to analyze and train mental
sates.
• The Tansey Technique provides 17,323 actionable independent, non
cross contaminated, digital measures per active sensor – providing an
accurate, digital measure of the complete EEG spectrum.