Apple recently filed patents for neurotechnology that are creating a lot of questions on not just the ethics behind the patent, but the application and impact...
Brain Fingerprinting is a technique that uses MERMER (Memory and Encoding Related Multifaceted Electroencephalographic) signals in the brain to determine if a particular piece of information is stored in someone's memory. It works by presenting a stimulus and measuring changes in brainwave activity, which increases if the brain recognizes something. The technique was invented by Dr. B.S. Farwell and can be used for national security, medical diagnosis of Alzheimer's, and advertising research.
Presentation for RADS 608 ( Principles and Concepts of Health Systems ) - 24/09/19
Student of Master of Science in Data Science for Healthcare ( International Program ) ( Clinical Epidemiology and Biostatistics, Mahidol University, Thailand )
Brain fingerprinting is a technique that measures brain activity to determine if specific information is stored in a person's brain. It presents stimuli to a subject wearing an electrode cap and measures the brain's P300 response, which occurs when the brain recognizes familiar information. Targets, irrelevant stimuli, and probes are shown. A match between a probe and a P300 response indicates the information is present, while a match to an irrelevant response suggests it is absent. Studies have found it can accurately detect if information is present or absent in about 90% of cases.
Brain fingerprinting is a technique developed in 1995 by Dr. Lawrence Farwell to determine if specific information is stored in a person's brain. It works by measuring electrical brainwave responses using electroencephalography as a person views words or images. The brain fingerprinting system includes a computer, data acquisition board, monitors, EEG amplifier and electrodes. It presents stimuli and records brainwaves, looking for a P300 response which indicates recognition. Brain fingerprinting has advantages of high accuracy and providing immediate results, but has limitations such as not being suitable for general screening and not indicating a person's intent. It has applications in criminal justice, medicine, counterterrorism and identifying terrorist activities.
This document discusses brain fingerprinting technology, which uses EEG sensors to detect changes in brainwave signals when a person is exposed to information related to a crime or event under investigation. It can determine whether specific information is stored in the brain. The process involves presenting target, irrelevant, and probe stimuli and analyzing the brainwave responses. If probes elicit a response, it suggests the person has knowledge of that information. Advantages are quick identification of criminals and exonerating the innocent. Disadvantages include limited applications and inability to determine intent. It has uses in advertising, counterterrorism, and medicine.
The research discussed in this paper is part of a pilot study in the use of wearable devices incorporating electroencephalogram (EEG) and heartrate sensors to sense for the emotional responses closely correlated to frustration when performing certain tasks. For this study the methodology used a combination of puzzle, arcade style game and a meditation apps to emulate a task based environment and detect frustration and satisfaction emotions. Preliminary results indicate that degree of task completion has an effect on emotions and can be detected by EEG and heartrate changes.
This document discusses Brain Fingerprinting technology, which uses EEG sensors to detect changes in brainwaves when a person is exposed to information related to a crime or event under investigation. It can determine whether specific information is stored in the brain. The process involves presenting target, irrelevant, and probe stimuli and analyzing the brainwave responses to determine if probes elicit a response indicating the information is known. Advantages are quick identification of criminals and exonerating the innocent. Applications include counterterrorism, advertising effectiveness, and medical research.
Brain fingerprinting is a forensic technique that uses electroencephalography (EEG) to determine if specific information is stored in a subject's brain. It works by presenting stimuli related to an event and measuring brain responses. P300 MERMER responses indicate recognition of known information. The technique has been used for counterterrorism, criminal cases, medical research, and evaluating advertising campaigns. It involves investigating a case, interviewing the subject, conducting the brain fingerprinting test, and adjudicating guilt or innocence. The technique detects stored information but not how it was obtained or intent. It cannot be used if the suspect knows all available details or there are no distinguishing probe stimuli.
Brain Fingerprinting is a technique that uses MERMER (Memory and Encoding Related Multifaceted Electroencephalographic) signals in the brain to determine if a particular piece of information is stored in someone's memory. It works by presenting a stimulus and measuring changes in brainwave activity, which increases if the brain recognizes something. The technique was invented by Dr. B.S. Farwell and can be used for national security, medical diagnosis of Alzheimer's, and advertising research.
Presentation for RADS 608 ( Principles and Concepts of Health Systems ) - 24/09/19
Student of Master of Science in Data Science for Healthcare ( International Program ) ( Clinical Epidemiology and Biostatistics, Mahidol University, Thailand )
Brain fingerprinting is a technique that measures brain activity to determine if specific information is stored in a person's brain. It presents stimuli to a subject wearing an electrode cap and measures the brain's P300 response, which occurs when the brain recognizes familiar information. Targets, irrelevant stimuli, and probes are shown. A match between a probe and a P300 response indicates the information is present, while a match to an irrelevant response suggests it is absent. Studies have found it can accurately detect if information is present or absent in about 90% of cases.
Brain fingerprinting is a technique developed in 1995 by Dr. Lawrence Farwell to determine if specific information is stored in a person's brain. It works by measuring electrical brainwave responses using electroencephalography as a person views words or images. The brain fingerprinting system includes a computer, data acquisition board, monitors, EEG amplifier and electrodes. It presents stimuli and records brainwaves, looking for a P300 response which indicates recognition. Brain fingerprinting has advantages of high accuracy and providing immediate results, but has limitations such as not being suitable for general screening and not indicating a person's intent. It has applications in criminal justice, medicine, counterterrorism and identifying terrorist activities.
This document discusses brain fingerprinting technology, which uses EEG sensors to detect changes in brainwave signals when a person is exposed to information related to a crime or event under investigation. It can determine whether specific information is stored in the brain. The process involves presenting target, irrelevant, and probe stimuli and analyzing the brainwave responses. If probes elicit a response, it suggests the person has knowledge of that information. Advantages are quick identification of criminals and exonerating the innocent. Disadvantages include limited applications and inability to determine intent. It has uses in advertising, counterterrorism, and medicine.
The research discussed in this paper is part of a pilot study in the use of wearable devices incorporating electroencephalogram (EEG) and heartrate sensors to sense for the emotional responses closely correlated to frustration when performing certain tasks. For this study the methodology used a combination of puzzle, arcade style game and a meditation apps to emulate a task based environment and detect frustration and satisfaction emotions. Preliminary results indicate that degree of task completion has an effect on emotions and can be detected by EEG and heartrate changes.
This document discusses Brain Fingerprinting technology, which uses EEG sensors to detect changes in brainwaves when a person is exposed to information related to a crime or event under investigation. It can determine whether specific information is stored in the brain. The process involves presenting target, irrelevant, and probe stimuli and analyzing the brainwave responses to determine if probes elicit a response indicating the information is known. Advantages are quick identification of criminals and exonerating the innocent. Applications include counterterrorism, advertising effectiveness, and medical research.
Brain fingerprinting is a forensic technique that uses electroencephalography (EEG) to determine if specific information is stored in a subject's brain. It works by presenting stimuli related to an event and measuring brain responses. P300 MERMER responses indicate recognition of known information. The technique has been used for counterterrorism, criminal cases, medical research, and evaluating advertising campaigns. It involves investigating a case, interviewing the subject, conducting the brain fingerprinting test, and adjudicating guilt or innocence. The technique detects stored information but not how it was obtained or intent. It cannot be used if the suspect knows all available details or there are no distinguishing probe stimuli.
Brain fingerprinting is a forensic technique that uses electroencephalography (EEG) to determine if specific information is stored in a subject's brain. It works by presenting stimuli related to an event and measuring brain responses. P300 MERMER responses indicate recognition of known information while an absence of response suggests the information is unknown. It has applications in criminal investigations to determine guilt or innocence as well as counterterrorism and medical research. The technique involves presenting targets, probes, and irrelevant stimuli and analyzing EEG readings for P300 responses within 300-500 ms, though it cannot determine how the information was learned.
Brain fingerprinting by ankit 2017............ankitg29
information about the brain fingerprinting technology . by EEG method by neuron firing and impulse of brain wave.P300 mean is 300-1000 m-sec brain wave, is better tech. than the polygraph test and other than than PET test. is basically depand the brain wave. is not the depand on the emotions and the pulse rate
Brain fingerprinting is a technique that uses electroencephalography (EEG) to detect electrical brain activity associated with recognition of familiar stimuli. It presents targets, irrelevant stimuli, and probes to measure the brain's reaction. If a probe elicits the same reaction as a target, it indicates the information is stored in the brain. The technique is claimed to determine with over 90% accuracy whether specific information is stored in a person's brain. It has potential applications in criminal investigations, terrorism investigations, medical research, and other fields.
Brain fingerprinting is a technique that uses electroencephalography (EEG) to detect electrical brain activity associated with recognition of familiar stimuli. It presents targets, irrelevant stimuli, and probes to a subject and compares their brain responses. If probes elicit the same response as targets, it suggests the information is present in the subject's brain. An accuracy rate of 100% has been found in tests of the technique. It has potential applications in criminal investigations, terrorism investigations, medical research, and other fields. However, more research is still needed to validate its reliability for use as legal evidence.
Noninvasive, Automated Measurement of Sleep, Wake and Breathing in RodentsInsideScientific
In this exclusive webinar sponsored by Signal Solutions LLC, Dr. Bruce O’Hara discusses methodology, best-practices and use studies of the PiezoSleep system. Discussion focuses on how these techniques can answer questions about animal behavior, phenotyping and relationships between sleep and disease. Dr. O’Hara also highlights the benefits of the PiezoSleep system that can assess sleep, wake and breathing variables.
The document discusses brain fingerprinting, a forensic technique that measures brainwaves to determine if a subject has information stored in their brain related to a crime. It works by measuring the P300 brainwave, which occurs 300 milliseconds after exposure to significant stimuli. The subject views words or images while wearing an EEG cap, and the P300 response to relevant "probe" stimuli indicates if the information is stored in their brain. The technique is used in criminal investigations and other applications like diagnosing Alzheimer's and evaluating advertising effectiveness, though it only detects the presence of information and not intent or how the information was obtained.
Brain fingerprinting is a technique that uses EEG to measure electrical brain wave responses to stimuli presented on a computer in order to determine if a person has specific information stored in their brain. It works by presenting probes, targets, and irrelevant stimuli and measuring brain waves like P300 responses. The brain waves are analyzed using algorithms to determine if information is present or absent. It has been used in criminal cases and national security screenings with a reported 100% accuracy rate. However, it cannot determine how the information was acquired and may not work if the suspect has been exposed to the same information from other sources.
Exploring Real-Time Data Collection with Ecological Momentary AssessmentExpi Well
In this PPT, we'll explore the concept of EMA, the applications and benefits of using Ecological Momentary Assessment software, and why it's becoming increasingly essential in various fields.
Analysis of emotion disorders based on EEG signals ofHuman BrainIJCSEA Journal
In this research, the emotions and the patterns of EEG signals of human brain are studied. The aim of this research is to study the analysis of the changes in the brain signals in the domain of different emotions. The observations can be analysed for its utility in the diagnosis of psychosomatic disorders like anxiety and depression in economical way with higher precision.
REVIEW: Previous Deception detection methods and New proposed method using in...IJERA Editor
Deception detection has important legal and medical applications, but the reliability of methods for the differentiation between truthful and deceptive responses is still limited. Deception detection can be more accurately achieved by measuring the brain correlates of lying in an individual. For the evaluation of the method, several participants were gone through the designed concealed information test paradigm and their respective brain signals were recorded. The electroencephalogram (EEG) signals were recorded and separated into many single trials. To enhance signal noise ratio (SNR) of P3 components, the independent component analysis (ICA) method was adopted to separate non-P3 (i.e. artifacts) and P3 components from every single trial. Then the P3 waveforms with high SNR were reconstructed. And then group of features based on time, frequency, and amplitude were extracted from the reconstructed P3 waveforms. Finally, two different class of feature samples were used to train a support vector machine (SVM) classifier because it has higher performance compared with several other classifiers. The method presented in this paper improves the efficiency of CIT and deception detection in comparison with previous reported methods.
This document discusses Brain Fingerprinting, a technique developed by Dr. Lawrence Farwell to identify perpetrators of crimes by measuring brain wave responses to crime-relevant stimuli. It works by presenting words/images to a subject wearing an EEG cap and analyzing the MERMER response in the brain, which occurs when the brain recognizes familiar information. The document outlines how Brain Fingerprinting works, its applications in national security, medicine, and advertising, and its invention and testing, concluding it could be a revolutionary criminal investigative tool.
Brain fingerprinting is a forensic technique that uses electroencephalography (EEG) to detect electrical brain activity associated with specific knowledge stored in a subject's brain. The technique presents stimuli and measures EEG responses like the P300 wave, which occurs about 300 milliseconds after seeing a significant stimulus. Brain fingerprinting has been used to screen job applicants, study advertising effectiveness, and aid criminal investigations by determining whether suspects have information related to a crime. However, it only detects information and not intent or how the information was obtained. It also has limitations like not detecting lies or accounting for memory factors.
A review of consumer brain computer interface devicesRex Yuan
This document reviews consumer brain-computer interface (BCI) devices developed by private companies. It focuses on 6 companies, primarily Emotiv and NeuroSky. Emotiv's EPOC headset uses dry electrodes and wireless connectivity, making it more convenient than traditional EEG setups. Studies show the EPOC can detect true EEG signals and emotions, though its validity is still debated for serious research. The EPOC has been used for BCI applications in mobile devices, telepresence robots, education, and gaming. While not suitable for all research, the EPOC shows potential as an affordable, general-purpose BCI for consumers.
Voice based Application as Medicine Spotter for Visually ImpairedIRJET Journal
This paper proposes a voice-based mobile application to help visually impaired individuals identify their medicines independently. The application uses image processing and text recognition on photos of medicine packages taken with the phone's camera to identify the medicine name. It then checks the user's prescription to determine if it is time to take that medicine and outputs the quantity to take via voice. This allows visually impaired people to identify their medicines without assistance and ensure they are taking the correct dose at the right time. The proposed application is designed to be easy for visually impaired users to operate via voice input and output.
Brain fingerprinting is a technique that uses brain scans to determine if a person has specific information stored in their brain. It works by measuring brain responses called P300s and MERMERs when a person is exposed to target, irrelevant, and probe stimuli. If a person recognizes a probe, it elicits a P300/MERMER response that is comparable to the target response, indicating they have the relevant information stored. It has been found to be 100% accurate in tests and one court recognized it as valid scientific evidence. Further research is still needed but it has potential to be a major criminal investigation tool.
Brain fingerprinting is a technique that uses brain scans to determine if a person has specific information stored in their brain. It works by measuring brain responses called P300s and MERMERs when a person is exposed to target, irrelevant, and probe stimuli. If a person recognizes a probe, it elicits a P300/MERMER response that is comparable to the target response, indicating they have the relevant information stored. It has been found to be 100% accurate in tests and one court recognized it as valid scientific evidence. Further research is still needed but it has potential to be a major criminal investigation tool.
This document discusses how new sensor and intelligent device technologies have the potential to transform healthcare delivery by bringing care closer to patients' homes. It describes how these non-intrusive technologies could enable patients to recover more quickly after surgery and benefit from virtual reality applications. The document also examines how wearable devices and sensors that can monitor vital signs could support more integrated, patient-centered care models by reducing dependence on providers and facilitating remote care, monitoring and early detection of health issues. Machine learning and big data analytics are discussed as ways to generate insights from the large and growing volumes of patient data that these new digital devices and sensors are capturing.
This is a presentation I gave at the Heart Rhythm Society Scientific Sessions in 2015, where I hypothesized that consumer wearables would evolve into real ambulatory cardiac monitors. I introduced a concept that I called "Heart Rate-Activity Discordance" to describe how a simple HR and Activity-tracking wearable could provide provide AI-enabled notifications for users to take ECGs. The AI would "learn" for a given individual what the HR-Activity signature was for a specific cardiac rhythm. Over a short period of time, asymptomatic arrhythmias could be detected and arrhythmic burden quantified-- all from a totally noninvasive, convenient, and low-cost wearable, such as an Apple Watch. We are at the dawn of just such a development-- my vision from this presentation two and a half years ago soon will be realized. Stay Tuned!
This case study was prepared by Stacey McCutcheon and Lyn Den.docxdurantheseldine
This case study was prepared by Stacey McCutcheon and Lyn Denend. Thank you to Jacqueline Shreibati for her contribution to this project.
CASE: BIOE273-6
DATE: 10/26/2021
ITERATING THE BUSINESS MODEL IN A NASCENT
MARKET: ALIVECOR
“It’s hard to evolve from being a hardware to a services company and embrace both
the business-to-business-to-consumer and direct-to-consumer culture. It’s hard to be good
at enterprise sales and make delightful products for the consumer. I think those big themes
have been challenging for many companies, not just AliveCor. But being a first mover has
benefitted AliveCor because they have had the funding and brand loyalty to successfully
embrace different business models.”
– Jacqueline Shreibati, MD, Former CMO, AliveCor
AliveCor is a pioneer in personal electrocardiogram technology (ECG). It was one of the first companies
to leverage digital technology to allow anyone with a smartphone to record and view their own heart
rhythms. While this capability appealed to multiple users, including cardiologists, researchers, and
patients with concerns about their heart health, it took time for the market to mature. And when it did, a
host of competitors in the consumer space made it difficult for AliveCor to sustain its first-mover
advantage. Fortunately, the company has had a steady influx of financing, and a willingness to evolve its
business model in order to optimize and sustain growth.
Background
For decades, portable event monitors have been used to record electrocardiograms (ECG) for non-
hospitalized patients. These graphic representations of the heart’s electrical activity could be transmitted
over the telephone as sound, then converted back into a graphic on the receiving end. In 2010, David
Albert, MD, the former chief clinical scientist of GE’s cardiology division, digitized that process.
Working with scientists Kim Barnett and Bruce Satchwell, Albert built a wireless, single-lead ECG into an
iPhone carrying case. The case had two electrodes on the back. To generate a reading, the patient simply
placed the case on their chest or held it with two hands. The reading was then transmitted wirelessly to the
iPhone and displayed graphically on the screen. The data also could be securely stored and/or
downloaded onto another device or platform, allowing a remote provider to access and interpret the
information.1
To help demonstrate the prototype, Albert made a YouTube video.2 It went viral, capturing the imagination
of early technology adopters who saw the iPhone ECG as an example of how new digital health tools could
change the way care was delivered, making it more accessible and less expensive.
Invented as a hobby rather than intended as a commercial product,3 the iPhone ECG seemed initially like a
hammer in search of a nail. Catalyzed by the video, though, specific uses quickly emerged. First
responders could use it to rapidly screen for rhythm abnormalit.
Lifting the Corporate Veil. Power Point Presentationseri bangash
"Lifting the Corporate Veil" is a legal concept that refers to the judicial act of disregarding the separate legal personality of a corporation or limited liability company (LLC). Normally, a corporation is considered a legal entity separate from its shareholders or members, meaning that the personal assets of shareholders or members are protected from the liabilities of the corporation. However, there are certain situations where courts may decide to "pierce" or "lift" the corporate veil, holding shareholders or members personally liable for the debts or actions of the corporation.
Here are some common scenarios in which courts might lift the corporate veil:
Fraud or Illegality: If shareholders or members use the corporate structure to perpetrate fraud, evade legal obligations, or engage in illegal activities, courts may disregard the corporate entity and hold those individuals personally liable.
Undercapitalization: If a corporation is formed with insufficient capital to conduct its intended business and meet its foreseeable liabilities, and this lack of capitalization results in harm to creditors or other parties, courts may lift the corporate veil to hold shareholders or members liable.
Failure to Observe Corporate Formalities: Corporations and LLCs are required to observe certain formalities, such as holding regular meetings, maintaining separate financial records, and avoiding commingling of personal and corporate assets. If these formalities are not observed and the corporate structure is used as a mere façade, courts may disregard the corporate entity.
Alter Ego: If there is such a unity of interest and ownership between the corporation and its shareholders or members that the separate personalities of the corporation and the individuals no longer exist, courts may treat the corporation as the alter ego of its owners and hold them personally liable.
Group Enterprises: In some cases, where multiple corporations are closely related or form part of a single economic unit, courts may pierce the corporate veil to achieve equity, particularly if one corporation's actions harm creditors or other stakeholders and the corporate structure is being used to shield culpable parties from liability.
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Brain fingerprinting is a forensic technique that uses electroencephalography (EEG) to determine if specific information is stored in a subject's brain. It works by presenting stimuli related to an event and measuring brain responses. P300 MERMER responses indicate recognition of known information while an absence of response suggests the information is unknown. It has applications in criminal investigations to determine guilt or innocence as well as counterterrorism and medical research. The technique involves presenting targets, probes, and irrelevant stimuli and analyzing EEG readings for P300 responses within 300-500 ms, though it cannot determine how the information was learned.
Brain fingerprinting by ankit 2017............ankitg29
information about the brain fingerprinting technology . by EEG method by neuron firing and impulse of brain wave.P300 mean is 300-1000 m-sec brain wave, is better tech. than the polygraph test and other than than PET test. is basically depand the brain wave. is not the depand on the emotions and the pulse rate
Brain fingerprinting is a technique that uses electroencephalography (EEG) to detect electrical brain activity associated with recognition of familiar stimuli. It presents targets, irrelevant stimuli, and probes to measure the brain's reaction. If a probe elicits the same reaction as a target, it indicates the information is stored in the brain. The technique is claimed to determine with over 90% accuracy whether specific information is stored in a person's brain. It has potential applications in criminal investigations, terrorism investigations, medical research, and other fields.
Brain fingerprinting is a technique that uses electroencephalography (EEG) to detect electrical brain activity associated with recognition of familiar stimuli. It presents targets, irrelevant stimuli, and probes to a subject and compares their brain responses. If probes elicit the same response as targets, it suggests the information is present in the subject's brain. An accuracy rate of 100% has been found in tests of the technique. It has potential applications in criminal investigations, terrorism investigations, medical research, and other fields. However, more research is still needed to validate its reliability for use as legal evidence.
Noninvasive, Automated Measurement of Sleep, Wake and Breathing in RodentsInsideScientific
In this exclusive webinar sponsored by Signal Solutions LLC, Dr. Bruce O’Hara discusses methodology, best-practices and use studies of the PiezoSleep system. Discussion focuses on how these techniques can answer questions about animal behavior, phenotyping and relationships between sleep and disease. Dr. O’Hara also highlights the benefits of the PiezoSleep system that can assess sleep, wake and breathing variables.
The document discusses brain fingerprinting, a forensic technique that measures brainwaves to determine if a subject has information stored in their brain related to a crime. It works by measuring the P300 brainwave, which occurs 300 milliseconds after exposure to significant stimuli. The subject views words or images while wearing an EEG cap, and the P300 response to relevant "probe" stimuli indicates if the information is stored in their brain. The technique is used in criminal investigations and other applications like diagnosing Alzheimer's and evaluating advertising effectiveness, though it only detects the presence of information and not intent or how the information was obtained.
Brain fingerprinting is a technique that uses EEG to measure electrical brain wave responses to stimuli presented on a computer in order to determine if a person has specific information stored in their brain. It works by presenting probes, targets, and irrelevant stimuli and measuring brain waves like P300 responses. The brain waves are analyzed using algorithms to determine if information is present or absent. It has been used in criminal cases and national security screenings with a reported 100% accuracy rate. However, it cannot determine how the information was acquired and may not work if the suspect has been exposed to the same information from other sources.
Exploring Real-Time Data Collection with Ecological Momentary AssessmentExpi Well
In this PPT, we'll explore the concept of EMA, the applications and benefits of using Ecological Momentary Assessment software, and why it's becoming increasingly essential in various fields.
Analysis of emotion disorders based on EEG signals ofHuman BrainIJCSEA Journal
In this research, the emotions and the patterns of EEG signals of human brain are studied. The aim of this research is to study the analysis of the changes in the brain signals in the domain of different emotions. The observations can be analysed for its utility in the diagnosis of psychosomatic disorders like anxiety and depression in economical way with higher precision.
REVIEW: Previous Deception detection methods and New proposed method using in...IJERA Editor
Deception detection has important legal and medical applications, but the reliability of methods for the differentiation between truthful and deceptive responses is still limited. Deception detection can be more accurately achieved by measuring the brain correlates of lying in an individual. For the evaluation of the method, several participants were gone through the designed concealed information test paradigm and their respective brain signals were recorded. The electroencephalogram (EEG) signals were recorded and separated into many single trials. To enhance signal noise ratio (SNR) of P3 components, the independent component analysis (ICA) method was adopted to separate non-P3 (i.e. artifacts) and P3 components from every single trial. Then the P3 waveforms with high SNR were reconstructed. And then group of features based on time, frequency, and amplitude were extracted from the reconstructed P3 waveforms. Finally, two different class of feature samples were used to train a support vector machine (SVM) classifier because it has higher performance compared with several other classifiers. The method presented in this paper improves the efficiency of CIT and deception detection in comparison with previous reported methods.
This document discusses Brain Fingerprinting, a technique developed by Dr. Lawrence Farwell to identify perpetrators of crimes by measuring brain wave responses to crime-relevant stimuli. It works by presenting words/images to a subject wearing an EEG cap and analyzing the MERMER response in the brain, which occurs when the brain recognizes familiar information. The document outlines how Brain Fingerprinting works, its applications in national security, medicine, and advertising, and its invention and testing, concluding it could be a revolutionary criminal investigative tool.
Brain fingerprinting is a forensic technique that uses electroencephalography (EEG) to detect electrical brain activity associated with specific knowledge stored in a subject's brain. The technique presents stimuli and measures EEG responses like the P300 wave, which occurs about 300 milliseconds after seeing a significant stimulus. Brain fingerprinting has been used to screen job applicants, study advertising effectiveness, and aid criminal investigations by determining whether suspects have information related to a crime. However, it only detects information and not intent or how the information was obtained. It also has limitations like not detecting lies or accounting for memory factors.
A review of consumer brain computer interface devicesRex Yuan
This document reviews consumer brain-computer interface (BCI) devices developed by private companies. It focuses on 6 companies, primarily Emotiv and NeuroSky. Emotiv's EPOC headset uses dry electrodes and wireless connectivity, making it more convenient than traditional EEG setups. Studies show the EPOC can detect true EEG signals and emotions, though its validity is still debated for serious research. The EPOC has been used for BCI applications in mobile devices, telepresence robots, education, and gaming. While not suitable for all research, the EPOC shows potential as an affordable, general-purpose BCI for consumers.
Voice based Application as Medicine Spotter for Visually ImpairedIRJET Journal
This paper proposes a voice-based mobile application to help visually impaired individuals identify their medicines independently. The application uses image processing and text recognition on photos of medicine packages taken with the phone's camera to identify the medicine name. It then checks the user's prescription to determine if it is time to take that medicine and outputs the quantity to take via voice. This allows visually impaired people to identify their medicines without assistance and ensure they are taking the correct dose at the right time. The proposed application is designed to be easy for visually impaired users to operate via voice input and output.
Brain fingerprinting is a technique that uses brain scans to determine if a person has specific information stored in their brain. It works by measuring brain responses called P300s and MERMERs when a person is exposed to target, irrelevant, and probe stimuli. If a person recognizes a probe, it elicits a P300/MERMER response that is comparable to the target response, indicating they have the relevant information stored. It has been found to be 100% accurate in tests and one court recognized it as valid scientific evidence. Further research is still needed but it has potential to be a major criminal investigation tool.
Brain fingerprinting is a technique that uses brain scans to determine if a person has specific information stored in their brain. It works by measuring brain responses called P300s and MERMERs when a person is exposed to target, irrelevant, and probe stimuli. If a person recognizes a probe, it elicits a P300/MERMER response that is comparable to the target response, indicating they have the relevant information stored. It has been found to be 100% accurate in tests and one court recognized it as valid scientific evidence. Further research is still needed but it has potential to be a major criminal investigation tool.
This document discusses how new sensor and intelligent device technologies have the potential to transform healthcare delivery by bringing care closer to patients' homes. It describes how these non-intrusive technologies could enable patients to recover more quickly after surgery and benefit from virtual reality applications. The document also examines how wearable devices and sensors that can monitor vital signs could support more integrated, patient-centered care models by reducing dependence on providers and facilitating remote care, monitoring and early detection of health issues. Machine learning and big data analytics are discussed as ways to generate insights from the large and growing volumes of patient data that these new digital devices and sensors are capturing.
This is a presentation I gave at the Heart Rhythm Society Scientific Sessions in 2015, where I hypothesized that consumer wearables would evolve into real ambulatory cardiac monitors. I introduced a concept that I called "Heart Rate-Activity Discordance" to describe how a simple HR and Activity-tracking wearable could provide provide AI-enabled notifications for users to take ECGs. The AI would "learn" for a given individual what the HR-Activity signature was for a specific cardiac rhythm. Over a short period of time, asymptomatic arrhythmias could be detected and arrhythmic burden quantified-- all from a totally noninvasive, convenient, and low-cost wearable, such as an Apple Watch. We are at the dawn of just such a development-- my vision from this presentation two and a half years ago soon will be realized. Stay Tuned!
This case study was prepared by Stacey McCutcheon and Lyn Den.docxdurantheseldine
This case study was prepared by Stacey McCutcheon and Lyn Denend. Thank you to Jacqueline Shreibati for her contribution to this project.
CASE: BIOE273-6
DATE: 10/26/2021
ITERATING THE BUSINESS MODEL IN A NASCENT
MARKET: ALIVECOR
“It’s hard to evolve from being a hardware to a services company and embrace both
the business-to-business-to-consumer and direct-to-consumer culture. It’s hard to be good
at enterprise sales and make delightful products for the consumer. I think those big themes
have been challenging for many companies, not just AliveCor. But being a first mover has
benefitted AliveCor because they have had the funding and brand loyalty to successfully
embrace different business models.”
– Jacqueline Shreibati, MD, Former CMO, AliveCor
AliveCor is a pioneer in personal electrocardiogram technology (ECG). It was one of the first companies
to leverage digital technology to allow anyone with a smartphone to record and view their own heart
rhythms. While this capability appealed to multiple users, including cardiologists, researchers, and
patients with concerns about their heart health, it took time for the market to mature. And when it did, a
host of competitors in the consumer space made it difficult for AliveCor to sustain its first-mover
advantage. Fortunately, the company has had a steady influx of financing, and a willingness to evolve its
business model in order to optimize and sustain growth.
Background
For decades, portable event monitors have been used to record electrocardiograms (ECG) for non-
hospitalized patients. These graphic representations of the heart’s electrical activity could be transmitted
over the telephone as sound, then converted back into a graphic on the receiving end. In 2010, David
Albert, MD, the former chief clinical scientist of GE’s cardiology division, digitized that process.
Working with scientists Kim Barnett and Bruce Satchwell, Albert built a wireless, single-lead ECG into an
iPhone carrying case. The case had two electrodes on the back. To generate a reading, the patient simply
placed the case on their chest or held it with two hands. The reading was then transmitted wirelessly to the
iPhone and displayed graphically on the screen. The data also could be securely stored and/or
downloaded onto another device or platform, allowing a remote provider to access and interpret the
information.1
To help demonstrate the prototype, Albert made a YouTube video.2 It went viral, capturing the imagination
of early technology adopters who saw the iPhone ECG as an example of how new digital health tools could
change the way care was delivered, making it more accessible and less expensive.
Invented as a hobby rather than intended as a commercial product,3 the iPhone ECG seemed initially like a
hammer in search of a nail. Catalyzed by the video, though, specific uses quickly emerged. First
responders could use it to rapidly screen for rhythm abnormalit.
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2. Apple has submitted a patent application
that raises some serious privacy and
ethical concerns.
The US Patent and Trademark Office lists
application 2023/0225659 as a
“biosensing device” built into Apple’s
earbuds to measure “biological signal
parameters from a user.”
APPLE FILING PATENTS THAT GO BEYOND…
2
3. WHICH BIOLOGICAL SIGNALS, YOU ASK?
3
• Electroencephalography (EEG). In other words, the aim is to
directly record the user’s brain waves from tiny sensors
positioned within the ear canal.
• Electromyography (EMG). This records muscle movements
and the information can be used to help understand facial
expressions and jaw movements related to emotion.
• Electrooculography (EOG) tracks eye movements,
particularly side-to-side.
• Electrocardiogram (ECG) typically measures the electrical
activity of the heart.
• Galvanic skin response (GSR), which provides an indirect
measure of emotional arousal – that is, the strength of an
emotional response.
• Blood volume pulse (BVP). This is measured using
photoplethysmography and provides information about
heart rate (HR) and heart rate variability (HRV).
4. 4
4
4
In other words, the aim is to collect a very comprehensive set of neurological and biometric data from the user. Creepy, right?!
It’s unclear to me how you could even record meaningful data from within the ear for at least of few of these (e.g. EOG, ECG, GSR) but that clearly
isn’t going to stop them from trying.
In fairness, I don’t normally go around reading US patent applications, so maybe a large percentage of them are equally creepy – I can’t say. But this
one feels deeply unethical.
It’s not at all clear, for instance, whether user would be aware that these data were being acquired and sent to Apple every time they used their
earbuds. Even if their EULA mentioned the measurements, how many people would know what they mean or how they might be used?
APPLE GOING ALL IN…
5. 5 ESSENTIAL PRINCIPALS FOR ETHICAL USE
OF NEUROTECHNOLOGY
5
1. Voluntary. Participants should not be forced or deceived into providing physiological or neurological data. Volunteers at liberty to stop at any
time.
2. Limited. Personal data may only be collected for a specific, explicit and legitimate purpose. This purpose must be clearly stated, and only
stored as long as needed to complete that purpose.
3. Transparent. Requires informed consent including being aware the data are being collected and knowing the risks involved, including
whether the information will be shared with other organizations.
4. Autonomy. Free from manipulation. Participants should not be forced or deceived into making decisions they would not otherwise make.
5. Valid. Must be based on valid science and led by scientifically trained staff.
To my mind, this application potentially violates 4 out of 5 of these principles (I don’t see any evidence of manipulation) and this makes me
deeply uneasy!
What are your thoughts on the ethical implications of such technologies? Would you be comfortable using this device or similar devices that
collected this information about you?