This webinar is part of a 2-hour monthly series hosted by the Neurotechnology Innovation Network: https://ktn-uk.org/health/neurotechnology/
Each webinar features expert speakers and focusses on a new development in a different technology area.
The third topic in this series is Dementia treatment using a biodesign approach. Dementia can have enormous effects, not only to those suffering but also family members and others
caring for them, but there are currently no effective therapies available. Neurotechnology offers a new way of treating dementia.
There is growing evidence that technologies such as deep brain stimulation and transcranial magnetic stimulation could help treat some of the effects of dementia and brain-computer interfaces are now able to detect the first signs of dementia years before symptoms appear.
In collaboration with UK Dementia Research Institute this webinar explores novel neurotechnologies to treat dementia, discuss barriers to adoption and new opportunities in the field.
This webinar is part of a 2-hour monthly series hosted by the Neurotechnology Innovation Network: https://ktn-uk.org/health/neurotechnology/
Each webinar features expert speakers and focusses on a new development in a different technology area.
The third topic in this series is Dementia treatment using a biodesign approach. Dementia can have enormous effects, not only to those suffering but also family members and others
caring for them, but there are currently no effective therapies available. Neurotechnology offers a new way of treating dementia.
There is growing evidence that technologies such as deep brain stimulation and transcranial magnetic stimulation could help treat some of the effects of dementia and brain-computer interfaces are now able to detect the first signs of dementia years before symptoms appear.
In collaboration with UK Dementia Research Institute this webinar explores novel neurotechnologies to treat dementia, discuss barriers to adoption and new opportunities in the field.
Trends in VLSI circuit in 2020 - International Journal of VLSI design & Commu...VLSICS Design
International Journal of VLSI design & Communication Systems (VLSICS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of VLSI Design & Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & communication concepts and establishing new collaborations in these areas.
This slide is about the basic theories of Neurotechnology.
It shows
1. An overview of this area
- Market value, etc
2. Basic knowledge
- Types of neurotechnologies
- Basics of neuroscience
- software engineering.
3. Use cases with neurotechnologies.
Amyotrophic Lateral Sclerosis (ALS) is the most common progressive neurodegenerative disorder reflecting
the degeneration of upper and lower motor neurons. Motor neurons controls the communication between nervous
system and muscles of the body. ALS results in the loss of voluntary control over muscular activities along with the
inability to breathe and the maximum life expectancy of affected individual will be 3-5 years from the onset of
symptoms. But the lifetime of affected people can be extended by early detection of disease. The usual methods for
diagnosis are Electromyography (EMG), Nerve Conduction Study (NCS), Magnetic Resonance Imaging (MRI) and
Magneto-encephalography (MEG). But some of these methods may erroneously result in neuropathy or myopathy
instead of ALS and some do not provide any biomarker. EEG is comparatively least expensive method and it
provides biomarker for ALS detection. ALS is always associated with fronto-temporal dementia (FTD). The spectral
analysis of EEG will reveal the structural and functional connectivity alterations of the underlying neural network
that occurs due to FTD and it can generate potential biomarkers for the early detection of ALS. A novel algorithm
has been developed by exploiting the Dual Tree Complex Wavelet Transform (DTCWT) technique and it can
overcome the short comes of existing methods for the analysis and feature extraction of EEG. Deterministic
biomarkers were obtained from spectral analysis of EEG and the proposed algorithm provided 100% accuracy for all
the test datasets.
Enhancing extreme learning machine: Novel extentions and applications to opti...Apdullah YAYIK, Ph.D.
As a single-hidden layer feed forward neural network (SLFN), conventional extreme learning machine (ELM) reaches high performance rates in extremely rapid training pace on benchmark datasets. However, when it is applied to real life large datasets, decline in training pace and performance rates related to low convergence of singular value decomposition (SVD) method occurs. This thesis proposes new approaches in conventional ELM to overcome this problem with lower upper (LU) triangularization, Hessenberg decomposition, Schur decomposition, modified Gram Schmidt (MGS) process and Householder reflection methods. Experiments with conventional and proposed ELMs, have been conducted on visual stimuli optimization problem in brain computer interface (BCI). And, multi-layer perceptron (MLP), k-nearest neighbour (k-NN) and Bayesian network (BayesNET) are applied for compartments. 19 subjects participated in this experiment and results show that if priority is given to training pace, Hessenberg decomposition method, and if priority is given to performance measures Householder reflection method can replace SVD. Also, other proposed methods give comparable results. Besides, this thesis shows that visual stimuli that is smaller and has orange coloured concentric background has statistically positive effect on performing BCI application. In real-time BCI application proposed algorithms can decide just in 17 seconds with selected electroencephalography (EEG) channels and it has an accuracy rate of 90.83%.
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Medical Algorithm for Hepatitis-B Identification Using Photo therapyIJTET Journal
The infant liver has a restricted capacity to process unconjugated bilirubin. Consequently, newborn children are inclined to an amassing of unconjugated bilirubin, and can create jaundice. As of late, light transmitting diodes which work in the 410 - 490 nm wavelength reach have been created. These gallium nitride sapphire LEDs can deliver high irradiance with low power necessities. These LEDs discharge light inside the top ingestion scope of bilirubin, are ease, and have long operational lifespans. Bilirubin can be portrayed as the yellowish substance that is created by the liver, when old cells are separated. On the off chance that the levels of bilirubin in the body are inside the typical reach, it doesn't make an issue; then again, on occasion it is feasible for the measure of bilirubin in the body to climb to an abnormal state, which thus can prompt genuine wellbeing entanglements. Much of the time, a man could experience the ill effects of jaundice, in the event that the levels of bilirubin in the body climb high. Also, if the levels are not controlled soon, it could prompt cerebrum harm as well. Amid the first week of life all babies have expanded bilirubin levels by grown-up measures, with pretty nearly 60% of term babies1 and 85% of preterm children having obvious jaundice. The majority of these cases are kind yet it is vital to recognize those infants at danger of intense bilirubin encephalopathy and kernicterus/endless encephalopathy. Jaundice might likewise be an indication of a genuine fundamental sickness.
Braingate is an electrode chip which can be implemented in the brain. When it is implemented in brain, the electrical signal exchanged by neurons within the brain. Those signals are sent to the brain and it executes body movement. All the signalling process is handled by special software. The signal sends to the computer and then the computer is controlled by patient.
Trends in VLSI circuit in 2020 - International Journal of VLSI design & Commu...VLSICS Design
International Journal of VLSI design & Communication Systems (VLSICS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of VLSI Design & Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & communication concepts and establishing new collaborations in these areas.
This slide is about the basic theories of Neurotechnology.
It shows
1. An overview of this area
- Market value, etc
2. Basic knowledge
- Types of neurotechnologies
- Basics of neuroscience
- software engineering.
3. Use cases with neurotechnologies.
Amyotrophic Lateral Sclerosis (ALS) is the most common progressive neurodegenerative disorder reflecting
the degeneration of upper and lower motor neurons. Motor neurons controls the communication between nervous
system and muscles of the body. ALS results in the loss of voluntary control over muscular activities along with the
inability to breathe and the maximum life expectancy of affected individual will be 3-5 years from the onset of
symptoms. But the lifetime of affected people can be extended by early detection of disease. The usual methods for
diagnosis are Electromyography (EMG), Nerve Conduction Study (NCS), Magnetic Resonance Imaging (MRI) and
Magneto-encephalography (MEG). But some of these methods may erroneously result in neuropathy or myopathy
instead of ALS and some do not provide any biomarker. EEG is comparatively least expensive method and it
provides biomarker for ALS detection. ALS is always associated with fronto-temporal dementia (FTD). The spectral
analysis of EEG will reveal the structural and functional connectivity alterations of the underlying neural network
that occurs due to FTD and it can generate potential biomarkers for the early detection of ALS. A novel algorithm
has been developed by exploiting the Dual Tree Complex Wavelet Transform (DTCWT) technique and it can
overcome the short comes of existing methods for the analysis and feature extraction of EEG. Deterministic
biomarkers were obtained from spectral analysis of EEG and the proposed algorithm provided 100% accuracy for all
the test datasets.
Enhancing extreme learning machine: Novel extentions and applications to opti...Apdullah YAYIK, Ph.D.
As a single-hidden layer feed forward neural network (SLFN), conventional extreme learning machine (ELM) reaches high performance rates in extremely rapid training pace on benchmark datasets. However, when it is applied to real life large datasets, decline in training pace and performance rates related to low convergence of singular value decomposition (SVD) method occurs. This thesis proposes new approaches in conventional ELM to overcome this problem with lower upper (LU) triangularization, Hessenberg decomposition, Schur decomposition, modified Gram Schmidt (MGS) process and Householder reflection methods. Experiments with conventional and proposed ELMs, have been conducted on visual stimuli optimization problem in brain computer interface (BCI). And, multi-layer perceptron (MLP), k-nearest neighbour (k-NN) and Bayesian network (BayesNET) are applied for compartments. 19 subjects participated in this experiment and results show that if priority is given to training pace, Hessenberg decomposition method, and if priority is given to performance measures Householder reflection method can replace SVD. Also, other proposed methods give comparable results. Besides, this thesis shows that visual stimuli that is smaller and has orange coloured concentric background has statistically positive effect on performing BCI application. In real-time BCI application proposed algorithms can decide just in 17 seconds with selected electroencephalography (EEG) channels and it has an accuracy rate of 90.83%.
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Medical Algorithm for Hepatitis-B Identification Using Photo therapyIJTET Journal
The infant liver has a restricted capacity to process unconjugated bilirubin. Consequently, newborn children are inclined to an amassing of unconjugated bilirubin, and can create jaundice. As of late, light transmitting diodes which work in the 410 - 490 nm wavelength reach have been created. These gallium nitride sapphire LEDs can deliver high irradiance with low power necessities. These LEDs discharge light inside the top ingestion scope of bilirubin, are ease, and have long operational lifespans. Bilirubin can be portrayed as the yellowish substance that is created by the liver, when old cells are separated. On the off chance that the levels of bilirubin in the body are inside the typical reach, it doesn't make an issue; then again, on occasion it is feasible for the measure of bilirubin in the body to climb to an abnormal state, which thus can prompt genuine wellbeing entanglements. Much of the time, a man could experience the ill effects of jaundice, in the event that the levels of bilirubin in the body climb high. Also, if the levels are not controlled soon, it could prompt cerebrum harm as well. Amid the first week of life all babies have expanded bilirubin levels by grown-up measures, with pretty nearly 60% of term babies1 and 85% of preterm children having obvious jaundice. The majority of these cases are kind yet it is vital to recognize those infants at danger of intense bilirubin encephalopathy and kernicterus/endless encephalopathy. Jaundice might likewise be an indication of a genuine fundamental sickness.
Braingate is an electrode chip which can be implemented in the brain. When it is implemented in brain, the electrical signal exchanged by neurons within the brain. Those signals are sent to the brain and it executes body movement. All the signalling process is handled by special software. The signal sends to the computer and then the computer is controlled by patient.
Impact of adaptive filtering-based component analysis method on steady-state ...IAESIJAI
The significance of brain computer interface (BCI) systems is immensely high, especially for disabled people and patients with nervous system failure. Therefore, in this study, adaptive filtering-based component analysis (AFCA) model is presented to enhance target box identification efficiency at varied flickering frequencies in a visual stimulation process by efficient acquisition of electroencephalogram (EEG) signals for the application of steady-state visually evoked potential based BCI system. Furthermore, optimization of proposed AFCA model is performed based on the maximized reproducibility of correlated components. A multimedia authoring and management using your eyes and mind (MAMEM) steady-state visual evoked potential (SSVEP) dataset is utilized for efficient training of EEG signals and background entities are eliminated using adaptive filters in a pre-processing stage. Additionally, spatial filtering components are obtained to detect target flickering box based on the obtained quality features. Performance is measured by acquisition of SSVEP signals in terms of reconstruction efficiency, classification accuracy and information transfer rate (ITR) using proposed AFCA model. Mean classification accuracy for all 11 subject is 93.48% and ITR is 308.23 bpm. Further, classification accuracy is relatively higher than various SSVEP classification algorithms.
EEG is the fastest emerging technology in the industrial 4.0 culture. It will be more reliable when building devices. Currently, the big tech giant company is mainly focusing on this field of EEG for connecting their tesla. In day by day, modern world my innovative idea is to connect every peripheral in this node.
This presentation was about EEG control-based wheelchair with EEG lab toolbox for MATLAB. It will more helpful for a person who is working on EEG-based projects at the beginner level also this presentation included some basic ideas for how EEG works...
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
We understand the unique challenges pickleball players face and are committed to helping you stay healthy and active. In this presentation, we’ll explore the three most common pickleball injuries and provide strategies for prevention and treatment.
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
Navigating the Health Insurance Market_ Understanding Trends and Options.pdfEnterprise Wired
From navigating policy options to staying informed about industry trends, this comprehensive guide explores everything you need to know about the health insurance market.
QA Paediatric dentistry department, Hospital Melaka 2020Azreen Aj
QA study - To improve the 6th monthly recall rate post-comprehensive dental treatment under general anaesthesia in paediatric dentistry department, Hospital Melaka
3. Neurostyle is dedicated to develop and produce
innovative technologies in the field of neurology and
allowing the world to gain easier access to the
advantages of these neurological innovations
to prioritize and focus on establishing long-term
partnerships with customers and distributors through
high service quality
M I S S I O N
V I S I O N
13. • Compact and Mobile Design
• Real-time Impedance Indicators
• Easy set-up through All-in-one connectors
• High-Quality signal through Wi-FI
• Synchronous Video System
• Review Phase
• Map Analysis and Display
• Automatic Report Generation
• Multiple Selections : Instant and Long-term events
20. There is a need for a practical Stroke Rehabilitation system
Which can be used in hospitals and at home
21. Brain-Computer Interface (BCI) is a direct communication pathway between an enhanced or
wired brain and an external device. It is a hardware and software communication system which
enable humans cerebral activity alone to control computers or external devices.
• It is an artificial intelligence system that
can recognize a certain set of patterns
in brain signals
• BCI requires real-time processing
• BCI has a wide
application
potential in many
fields of
healthcare or
medicine
1
2
4
3
Signal
Acquisition
ProcessingFeature
Extraction
And
Classification
Control
Interface
22. Combine Brain Rehab with Physical Rehab
+
Understand brain status through EEG
Personalized Virtual Reality (VR) training for patients
Applicable to Upper and Lower limbs
Can be used with Robotics and/or Manual Rehab
BCI can help >80% of disabled stroke patients
• Extensive years of research and experience in BCI application
• World No. 1 in BCI Competition 2006, 2008
• World No. 1 BCI Research Award 2010
• 4 international patents filed
23. Clinical studies headed by A*STAR-I2R:
Published:
Frontiers in
NeuroEng
2014
BCI is able to enhance FMMA score, higher than manual rehab
R E S U L T S :
Functional connectivity enhancement in
somatomotor network correlates with motor
recovery after rehabilitation
Published:
SfN’2012
BCI rehabilitation enhances functional
connectivity significantly
Published:
NNR 2012
DTI type MRI shows structure improvement
IEEE
EMBC ’09,
10, 12, 13,
IEEE NER’09
in-partnership with Singapore hospitals
24. • BCI-based Stroke Rehabilitation
• Motor imagery with Virtual Reality and Physical Feedback
mechanism
• Clinically-tested Innovative algorithm for detection of
patient’s motor intent
• Configured for rehabilitation of both Chronic and Sub-
Acute Stroke
• Patient-specific Motor-Imagery detection model
• Rehabilitation therapy game module adapted to patient’s
progress
• Remote clinician access for patient’s progress evaluation
• Can be used for Tele-Rehabilitation
26. Average Treatment Hours
Per Patient - Per Staff
(On an 8-hours daily work schedule)
Average Patients Treated
Per Staff – Per Day
(On an 8-hours daily work schedule)
2-3
hours
1-1.5
hours
>50%
3-4
patients
5-8
patients
>65%
NOW FUTURE
IMPROVEMENT
NOW FUTURE
IMPROVEMENT