Professor Jane Burridge leads a research group that aims to understand mechanisms of recovery following stroke and uses this knowledge to design rehabilitation technologies. Her research focuses on developing technologies like wearable sensors, brain stimulation, and functional electrical stimulation to measure movement and promote neuroplasticity. She conducts studies on topics like intensity of exercise in stroke recovery and links between trunk control and arm function. Her goal is to translate findings into cost-effective home-based therapies to improve outcomes for people with conditions like stroke and spinal cord injury.
Neurorobotics and Advances in rehabilitation engineeringBhaskarBorgohain4
Advances in robotics,mechatronics,cyborgs and disruptive technologies for heptics, brain machine interfaces and neurorobotics are bringing a sea change to the field of rehabilitation engineering. Carbon fibre cheetah blades, Bionic arms, c legs are helping the amputees to the extent that amputees can now run in competitive sports at the level of summer Olympics.
Real Time Implementation and Investigation of Wireless Device of Electrical S...ijtsrd
"Electrical nerve stimulation ENS is the delivery of electricity across the intact surface of the skin to activate underlying nerves generally with the objective of pain relief. Wearable Intensive Nerve Stimulation WINS is an emerging form of ENS in which the device is wearable, automated, and designed for intensive use. This enables regular use throughout the day and night, whenever the patient experiences pain, which is essential for the management of chronic pain. Hence we design and develop a wireless controlled smart tiny wearable medical device that is capable of passing electricity through underlying nerves of human beings for symptomatic relief and management of chronic pain. This project can be applicable for coma persons. When there is a slight improvement in their acceleration, this device will stimulate the peripheral nerves accordingly. Mrs. R. Ponni | S. Manisha | A. Monisha | G. Nandhini | R. Priyatharcini "Real Time Implementation and Investigation of Wireless Device of Electrical Stimulation for Peripheral Nevers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21672.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/21672/real-time-implementation-and-investigation-of-wireless-device-of-electrical-stimulation-for-peripheral-nevers/mrs-r-ponni
Biomedical Signal Processing / Biomedical Signals/ Bio-signals/ Bio-signals C...Mehak Azeem
These amazing and highly informative slides presented to the IEEE Signal Processing Society of IEEE MESCE Student Branch. These slides aim to provide basic knowledge about biosignals, their classification, examples and their working.
For more information, please contact:
[mehakazeem@ieee.org]
Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Reh...UniversitasGadjahMada
Stroke is a disease that currently attracts more attention in Indonesia according to the statistics provided by the Ministry of Health of the Republic of Indonesia. This research was motivated by the shortage of physiotherapists which can not catch the increasing number of stroke patients. The therapy becomes less effective and less efficient since each therapist must handle too many patients during his/her work hours. This research has developed a device prototype that can help the therapy to measure and monitor patient exercise, especially at the final stage of rehabilitation when the patient gets therapy to move actively. The angle of the moving body parts that can represent the ability of patient motion was measured using accelerometers. The developed prototype was in the form of a glove, equipped with an Arduino Nano and two accelerometer modules, that measures the motion of the thumb and index finger. The device was calibrated and tested to determine the characteristics of the sensors. This test showed that the gloves prototype had an accuracy of 95,8% and precision of 99,6%. The application of the prototype was carried out on four types of finger movements, namely thumb abduction-adduction, thumb flexion-extension, finger flexion-hyperextension, and finger abductionadduction. The prototype was also tested for its ability to work in variations of direction and position of the hand.
Neurorobotics and Advances in rehabilitation engineeringBhaskarBorgohain4
Advances in robotics,mechatronics,cyborgs and disruptive technologies for heptics, brain machine interfaces and neurorobotics are bringing a sea change to the field of rehabilitation engineering. Carbon fibre cheetah blades, Bionic arms, c legs are helping the amputees to the extent that amputees can now run in competitive sports at the level of summer Olympics.
Real Time Implementation and Investigation of Wireless Device of Electrical S...ijtsrd
"Electrical nerve stimulation ENS is the delivery of electricity across the intact surface of the skin to activate underlying nerves generally with the objective of pain relief. Wearable Intensive Nerve Stimulation WINS is an emerging form of ENS in which the device is wearable, automated, and designed for intensive use. This enables regular use throughout the day and night, whenever the patient experiences pain, which is essential for the management of chronic pain. Hence we design and develop a wireless controlled smart tiny wearable medical device that is capable of passing electricity through underlying nerves of human beings for symptomatic relief and management of chronic pain. This project can be applicable for coma persons. When there is a slight improvement in their acceleration, this device will stimulate the peripheral nerves accordingly. Mrs. R. Ponni | S. Manisha | A. Monisha | G. Nandhini | R. Priyatharcini "Real Time Implementation and Investigation of Wireless Device of Electrical Stimulation for Peripheral Nevers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21672.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/21672/real-time-implementation-and-investigation-of-wireless-device-of-electrical-stimulation-for-peripheral-nevers/mrs-r-ponni
Biomedical Signal Processing / Biomedical Signals/ Bio-signals/ Bio-signals C...Mehak Azeem
These amazing and highly informative slides presented to the IEEE Signal Processing Society of IEEE MESCE Student Branch. These slides aim to provide basic knowledge about biosignals, their classification, examples and their working.
For more information, please contact:
[mehakazeem@ieee.org]
Accelerometer-Based Recorder of Fingers Dynamic Movements for Post-Stroke Reh...UniversitasGadjahMada
Stroke is a disease that currently attracts more attention in Indonesia according to the statistics provided by the Ministry of Health of the Republic of Indonesia. This research was motivated by the shortage of physiotherapists which can not catch the increasing number of stroke patients. The therapy becomes less effective and less efficient since each therapist must handle too many patients during his/her work hours. This research has developed a device prototype that can help the therapy to measure and monitor patient exercise, especially at the final stage of rehabilitation when the patient gets therapy to move actively. The angle of the moving body parts that can represent the ability of patient motion was measured using accelerometers. The developed prototype was in the form of a glove, equipped with an Arduino Nano and two accelerometer modules, that measures the motion of the thumb and index finger. The device was calibrated and tested to determine the characteristics of the sensors. This test showed that the gloves prototype had an accuracy of 95,8% and precision of 99,6%. The application of the prototype was carried out on four types of finger movements, namely thumb abduction-adduction, thumb flexion-extension, finger flexion-hyperextension, and finger abductionadduction. The prototype was also tested for its ability to work in variations of direction and position of the hand.
Frontal lobe and long-term memory retrieval analysis during pre-learning stre...journalBEEI
This paper uses the EEG analysis to investigate the relationship between pre-learning stress, frontal lope and long-term memory in the brain. The stress on learning stage is a challenge, especially in academic life. Stress also on learning stage affects the retrieval or recall from the memory. Nowadays; there are many recent works have discovered the relationship between stress, learning and memory performance based on different techniques. Some of these techniques are biological methods. Moreover, these methods have discovered the effect of stress based on hormones levels such as cortisol, or based on physiological effects such as blood pressure. However, these techniques have given conflicting discoveries because of the instability of hormones and an extensive number of related elements. The main aim of this research is to discover the relationship between Pre-learning stress, frontal lope, and long-term memory retrieval using EEG signals. The experimental results indicate that there is a relationship between theta rhythm in the frontal lobe and long-term memory retrieval during Pre-learning stress.
Sleep Apnea Identification using HRV Features of ECG Signals IJECEIAES
Sleep apnea is a common sleep disorder that interferes with the breathing of a person. During sleep, people can stop breathing for a moment that causes the body lack of oxygen that lasts for several seconds to minutes even until the range of hours. If it happens for a long period, it can result in more serious diseases, e.g. high blood pressure, heart failure, stroke, diabetes, etc. Sleep apnea can be prevented by identifying the indication of sleep apnea itself from ECG, EEG, or other signals to perform early prevention. The purpose of this study is to build a classification model to identify sleep disorders from the Heart Rate Variability (HRV) features that can be obtained with Electrocardiogram (ECG) signals. In this study, HRV features were processed using several classification methods, i.e. ANN, KNN, N-Bayes and SVM linear Methods. The classification is performed using subjectspecific scheme and subject-independent scheme. The simulation results show that the SVM method achieves higher accuracy other than three other methods in identifying sleep apnea. While, time domain features shows the most dominant performance among the HRV features.
این پاورپوینت در کارگاه تخصصی رویکرد جدید بوبات در توانبخشی کودکان مبتلا به فلج مغزی ارائه شده است.
برای مشاهده مطالب بیشتر در این زمینه به وب سایت فروردین مراجعه کنید.
www.farvardin-group.com
General anesthesia plays a crucial role in many surgical procedures. It is a drug-induced, reversible state characterized by unconsciousness, anti-nociception or analgesia, immobility and amnesia. On rare occasions, however, the patient can remain unconscious longer than intended, or may regain awareness during surgery. There are no precise measures for maintaining the correct dose of anesthetic, and there is currently no fully reliable instrument to monitor depth of anesthesia. Although a number of devices for monitoring brain function or sympathetic output are commercially available, the anesthetist also relies on clinical assessment and experience to judge anesthetic depth. The undesirable consequences of overdose or unintended awareness might in principle be ameliorated by improved control if we could understand better the changes in function that occur during general anesthesia. Coupling functions prescribe the physical rule specifying how the inter-oscillator interactions occur. They determine the possibility of qualitative transitions between the oscillations, e.g. routes into and out of phase synchronization. Their decomposition can describe the functional contribution from each separate subsystem within a single coupling relationship. In this way, coupling functions offer a unique means of describing mechanisms in a unified and mathematically precise way. It is a fast growing field of research, with much recent progress on the theory and especially towards being able to extract and reconstruct the coupling functions between interacting oscillations from data, leading to useful applications in cardio respiratory interactions. In this paper, a novel approach has been proposed for detecting the changes in synchronism of brain signals, taken from EEG machine. During the effect of anesthesia, there are certain changes in the EEG signals. Those signals show changes in their synchronism. This phenomenon of synchronism can be utilized to study the effect of anesthesia on respiratory parameters like respiration rate etc, and hence the quantity of anesthesia can be regulated, and if any problem occurs in breathing during the effect of anesthesia on patient, that can also be monitored.
Applied Biomechanics – a multifaceted approach to answering human movement qu...InsideScientific
Experts review the basic principles of biomechanics and how the study of human movement has evolved over time. Presenters highlight examples in applied kinematics, applied kinetics and applied neuromuscular/motor control and demonstrate how methodologies vary depending on the field of study or area of expertise.
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/design-requirements-for-a-tendon-rehabilitation-robot-results-from-a-survey-of-engineers-and-health-professionals/
Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
Design requirements for a tendon rehabilitation robot: results from a survey ...Gurdal Ertek
Exoskeleton type nger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing nger exoskeleton prototype. The goal
of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the
preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed
together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
http://research.sabanciuniv.edu.
What are most promising lifestyle and tech options to harness lifelong neurop...SharpBrains
*Dr. Álvaro Pascual-Leone, Director of the Berenson-Allen Center for Noninvasive Brain Stimulation at Beth Israel Deaconess Medical Center
*Dr. David Bartrés-Faz, Principal Investigator of the Barcelona Brain Health Initiative (BBHI)
*Dr. Simone Schurle, Assistant Professor for Responsive Biomedical Systems at the Swiss Federal Institute of Technology
*Chaired by: Dr. David Bach, Founder and President of the Platypus Institute
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Frontal lobe and long-term memory retrieval analysis during pre-learning stre...journalBEEI
This paper uses the EEG analysis to investigate the relationship between pre-learning stress, frontal lope and long-term memory in the brain. The stress on learning stage is a challenge, especially in academic life. Stress also on learning stage affects the retrieval or recall from the memory. Nowadays; there are many recent works have discovered the relationship between stress, learning and memory performance based on different techniques. Some of these techniques are biological methods. Moreover, these methods have discovered the effect of stress based on hormones levels such as cortisol, or based on physiological effects such as blood pressure. However, these techniques have given conflicting discoveries because of the instability of hormones and an extensive number of related elements. The main aim of this research is to discover the relationship between Pre-learning stress, frontal lope, and long-term memory retrieval using EEG signals. The experimental results indicate that there is a relationship between theta rhythm in the frontal lobe and long-term memory retrieval during Pre-learning stress.
Sleep Apnea Identification using HRV Features of ECG Signals IJECEIAES
Sleep apnea is a common sleep disorder that interferes with the breathing of a person. During sleep, people can stop breathing for a moment that causes the body lack of oxygen that lasts for several seconds to minutes even until the range of hours. If it happens for a long period, it can result in more serious diseases, e.g. high blood pressure, heart failure, stroke, diabetes, etc. Sleep apnea can be prevented by identifying the indication of sleep apnea itself from ECG, EEG, or other signals to perform early prevention. The purpose of this study is to build a classification model to identify sleep disorders from the Heart Rate Variability (HRV) features that can be obtained with Electrocardiogram (ECG) signals. In this study, HRV features were processed using several classification methods, i.e. ANN, KNN, N-Bayes and SVM linear Methods. The classification is performed using subjectspecific scheme and subject-independent scheme. The simulation results show that the SVM method achieves higher accuracy other than three other methods in identifying sleep apnea. While, time domain features shows the most dominant performance among the HRV features.
این پاورپوینت در کارگاه تخصصی رویکرد جدید بوبات در توانبخشی کودکان مبتلا به فلج مغزی ارائه شده است.
برای مشاهده مطالب بیشتر در این زمینه به وب سایت فروردین مراجعه کنید.
www.farvardin-group.com
General anesthesia plays a crucial role in many surgical procedures. It is a drug-induced, reversible state characterized by unconsciousness, anti-nociception or analgesia, immobility and amnesia. On rare occasions, however, the patient can remain unconscious longer than intended, or may regain awareness during surgery. There are no precise measures for maintaining the correct dose of anesthetic, and there is currently no fully reliable instrument to monitor depth of anesthesia. Although a number of devices for monitoring brain function or sympathetic output are commercially available, the anesthetist also relies on clinical assessment and experience to judge anesthetic depth. The undesirable consequences of overdose or unintended awareness might in principle be ameliorated by improved control if we could understand better the changes in function that occur during general anesthesia. Coupling functions prescribe the physical rule specifying how the inter-oscillator interactions occur. They determine the possibility of qualitative transitions between the oscillations, e.g. routes into and out of phase synchronization. Their decomposition can describe the functional contribution from each separate subsystem within a single coupling relationship. In this way, coupling functions offer a unique means of describing mechanisms in a unified and mathematically precise way. It is a fast growing field of research, with much recent progress on the theory and especially towards being able to extract and reconstruct the coupling functions between interacting oscillations from data, leading to useful applications in cardio respiratory interactions. In this paper, a novel approach has been proposed for detecting the changes in synchronism of brain signals, taken from EEG machine. During the effect of anesthesia, there are certain changes in the EEG signals. Those signals show changes in their synchronism. This phenomenon of synchronism can be utilized to study the effect of anesthesia on respiratory parameters like respiration rate etc, and hence the quantity of anesthesia can be regulated, and if any problem occurs in breathing during the effect of anesthesia on patient, that can also be monitored.
Applied Biomechanics – a multifaceted approach to answering human movement qu...InsideScientific
Experts review the basic principles of biomechanics and how the study of human movement has evolved over time. Presenters highlight examples in applied kinematics, applied kinetics and applied neuromuscular/motor control and demonstrate how methodologies vary depending on the field of study or area of expertise.
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/design-requirements-for-a-tendon-rehabilitation-robot-results-from-a-survey-of-engineers-and-health-professionals/
Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
Design requirements for a tendon rehabilitation robot: results from a survey ...Gurdal Ertek
Exoskeleton type nger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing nger exoskeleton prototype. The goal
of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the
preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed
together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
http://research.sabanciuniv.edu.
What are most promising lifestyle and tech options to harness lifelong neurop...SharpBrains
*Dr. Álvaro Pascual-Leone, Director of the Berenson-Allen Center for Noninvasive Brain Stimulation at Beth Israel Deaconess Medical Center
*Dr. David Bartrés-Faz, Principal Investigator of the Barcelona Brain Health Initiative (BBHI)
*Dr. Simone Schurle, Assistant Professor for Responsive Biomedical Systems at the Swiss Federal Institute of Technology
*Chaired by: Dr. David Bach, Founder and President of the Platypus Institute
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Effects of Mirror Therapy MT and Modified Constraint Induced Movement Therapy...ijtsrd
INTRODUCTION CVA is a complex dysfunction caused by a lesion in the brain. The WHO defines stroke as an “acute neurologic dysfunction of vascular origin with symptoms and sign corresponding to the involvement of focal areas of the brain.” In India the cumulative incidence of stroke ranged from 105 152 100000 persons per year, and the crude prevalence of stroke ranged from 44.29 559 100000 persons in different parts of the country during the past decade. DESIGN Convenient sampling method.SETTING Inpatient and outpatient of Department of Occupational Therapy, SV.NIRTAR, Olatpur.PARTICIPANTS A total of 30 stroke survivors with 15 in each group, A group Mirror Therapy and Conventional OT , B group modified constraint induced therapy with Conventional OT .INTERVENTIONS Treatment duration for both the groups is same. Each group receives occupational therapy intervention for 4 weeks, 5 sessions each session will be 50 minutes in a week. In group A subjects received 20 minutes of mirror therapy and group B subjects received 20 minutes of modified CIMT for 20 minutes respectively in addition to 30 minutes of conventional occupational therapy.OUTCOME MEASURES Action Research Arm TestRESULT The current study has shown that there is no significant difference improvement of hand function in mirror therapy with conventional occupational therapy and mCIMT with conventional occupational therapy. CONCLUSION The applications of Mirror therapy with conventional occupational therapy as well as mCIMT with conventional occupational therapy are equally effective on functional recovery of hand in stroke survivors. Miss. Prangya Paramita Paitial | Mr. Ramakumar Sahu "Effects of Mirror Therapy (MT) and Modified Constraint Induced Movement Therapy on Improvement of Hand in Stroke Survivors: A Comparative Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38383.pdf Paper Url: https://www.ijtsrd.com/medicine/other/38383/effects-of-mirror-therapy-mt-and-modified-constraint-induced-movement-therapy-on-improvement-of-hand-in-stroke-survivors-a-comparative-study/miss-prangya-paramita-paitial
An Efficacy Study on Improving Balance in Subacute Stroke Patients by Proprio...ijtsrd
INTRODUCTION CVA is a complex dysfunction caused by a lesion in the brain. The WHO defines stroke as an “acute neurologic dysfunction of vascular origin with symptoms and sign corresponding to the involvement of focal areas of the brain.” In India the cumulative incidence of stroke ranged from 105 152 100000 persons per year, and the crude prevalence of stroke ranged from 44.29 559 100000 persons in different parts of the country during the past decade. DESIGN Pre test Post test experimental group designSETTING Inpatient and outpatient of Department of Occupational Therapy, SV.NIRTAR, Olatpur.PARTICIPANTS A total 45 Subjects were recruited from the Swami Vivekananda National Institute of Rehabilitation Training and Research according to the inclusion and exclusion criteria.INTERVENTIONS After meeting the inclusion and exclusion criteria survivors were assessed using assessment performance, and informed consent was taken from the participants, allocated to the three groups.Group 1 Proprioceptive training alone Group 2 Proprioceptive training along with motor imageryGroup 3 Conventional therapyOUTCOME MEASURES Berg Balance Scale RESULT The study aimed to provide reference data for planning the rehabilitation of stroke patients, by comparing the effects of proprioceptive training with motor imagery and conventional proprioceptive training performed for 8 weeks. Result of the study indicated that there was significant effect of mental imagery and proprioceptive training on balance ability of stroke patients. The changes of the motor imagery training group were better than those of the other 2 groups.CONCLUSION In this clinical trial, our findings suggests significant improvement in balance in sub acute stroke patients when given motor imagery training along with proprioceptive training, conventional therapy and proprioceptive training alone.On the basis of current results, it was also concluded that, the motor imagery training along with proprioceptive training group showed a noticeable better effect on balance than those of other two groups. Kshanaprava Dash | Mr. Rama Kumar Sahu "An Efficacy Study on Improving Balance in Subacute Stroke Patients by Proprioceptive Training with Additional Motor Imagery" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38382.pdf Paper Url: https://www.ijtsrd.com/medicine/other/38382/an-efficacy-study-on-improving-balance-in-subacute-stroke-patients-by-proprioceptive-training-with-additional-motor-imagery/kshanaprava-dash
Virtual Reality Reflection Therapy Improves Balance and Gait in Patients with...Avi Dey
Technology enhanced version of Mirror Box Therapy called Virtual reality reflection therapy (VRRT) . Taesung In Et Al, (Department of Physical Therapy, College of Health Science, Sahmyook University, Seoul, South Korea) . Referred by Café Twin, Fairfax, VA USA. (LinkedIn.com/Café Twin) 2016
Comparison of Task Oriented Approach Versus Proprioceptive Neuromuscular Faci...ijtsrd
INTRODUCTION Stroke rehabilitation is an organized endeavour to help patients to maximize all opportunities for returning to an active lifestyle. Early intervention in acute stroke rehabilitation plays a major role in restoration of function and reducing the degree of disability and dependence for ADL’s and ambulation. Neuro rehabilitation is a method for relearning a previously learned task in a different way, either by compensatory strategies or by adaptively recruiting alternative pathway. Selection of appropriate and best neuro rehabilitation is critical.OBJECTIVE To compare whether task oriented approach is better than propioceptive neuromuscular facilitation on functional ambulation of stroke patients.DESIGN Single centre randomized control trial.SETTING Occupational Therapy department, Swami Vivekananda National Institute of Rehabilitation Training and Research, Olatpur, Odisha, 754010PARTICIPANTS All participants who fulfill the inclusion criteria randomly assigned to two groups. Following this a baseline assessment of Functional gait assessment scale was done at the beginning of the study.INTERVENTION All participants continued to receive conventional occupational therapy throughout the entire duration of study. Participants received an additional specific intervention one group task oriented approach and the second group PNF approach .Subjects of both the group were provided therapy sessions 45minutes per session 5 days a week for two months.OUTCOME MEASURE Functional Gait Assessment ScaleRESULT From the statistical result of this study, it is seen that there is no significance difference in FGA scale between two groups. This data suggests that TOA and PNF approaches are equally efficacious in treating functional ambulation in stroke patients and there is a significant improvement within the two experimental group.CONCLUSION There has been considerable debate regarding the comparative effectiveness of various treatment approaches with stroke patients. This study is not able to identify any differences between the groups that received Task oriented approach and the group that received Propioceptive neuromuscular facilitation treatment .On the basis of the finding s of this study occupational therapist can consider using either approach in planning treatment for functional ambulation in stroke patients. Rakesh Mahapatra | Mr. Rama Kumar Sahu "Comparison of Task Oriented Approach Versus Proprioceptive Neuromuscular Facilitation Technique on Functional Ambulation in Stroke Patients" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38237.pdf Paper URL : https://www.ijtsrd.com/medicine/other/38237/comparison-of-task-oriented-approach-versus-proprioceptive-neuromuscular-facilitation-technique-on-functional-ambulation-in-stroke-patients/rakesh-mahapatra
2018-04-18 المؤتمر العلمي الثاني للمعهد القومي لعلوم المسنين جامعة بني سويف بعنوان" التحديات والمستجدات العالمية في رعاية المسنين"
http://www.bsu.edu.eg/ShowConfDetails.aspx?conf_id=217
1. Jane Burridge Professor of Restorative Neuroscience
Introduction
Professor Jane Burridge leads the Neurorehabilitation Research Group. Her
research aims to understand the mechanisms of sensory-motor recovery
following stroke. She and her group use this better understanding to design and
evaluate rehabilitation technologies that will improve recovery following central
nervous system lesions such as stroke and spinal cord injury
‘Stroke rehabilitation is changing. Already most rehabilitation takes place in
people own homes and over the next few years technologies to support them will
become commonplace’
Research Interests
My work is cross-disciplinary working with electronics, control, design and
signal processing engineers, psychologists and industrial partners. Together we
develop technologies for measurement and therapy to optimise recovery.
Wearable sensors to monitor movement and muscle activity
Non-Invasive Brain stimulation to modulate cortical activity and promote
neuroplasticity – key to recovery
Using the Internet to support home-based rehabilitation in stroke and
traumatic brain injury
Functional Electrical Stimulation to promote recovery in spinal cord
injury
Longitudinal studies of stroke to understand the mechanisms on recovery
Why is intensity of exercise important is stroke recovery, and how can we
promote it?
Is there a link between regaining trunk control and upper limb function
following stroke?
2. Research projects
Mechanical Muscle Activity with Real-time Kinematics (M-MARK): A novel
combination of existing technologies to improve arm recovery following stroke
A systematic Exploration of Neuromuscular Electrical Stimulation in Spinal Cord
Injury: Stage 2, An International Questionnaire Study, INSPIRE
Study to find out the opinions of the spinal cord injury community about
Neuromuscular Electrical Stimulation (ES) so that the knowledge can be used to
direct research, technical development, and clinical and service provision.
Combining transcranial direct current stimulation (tDCS) with robotic hand
training for the severely impaired hand after stroke
The aim of this study is to examine the effect of combining transcranial direct
current stimulation with robotic hand and arm training for the impaired hand
and arm after stroke.
Development of an integrated service model incorporating innovative
technology for the rehabilitation of the upper limb following stroke, (Assistive
Technologies in Rehabilitation Following Stroke (ATRAS)
This programme of research seeks to significantly improve rehabilitation of the
hand and arm following a stroke by investigating the use of assistive
technologies to maximise recovery of function.
Shimmer Sensors for activity monitoring in post stroke upper limb rehabilitation
Development and pilot evaluation of a web-supported programme of Constraint
Induced Therapy following stroke (LifeCIT)
https://clinicaltrials.gov/ct2/show/NCT01350453?term=lifecit&rank=1
The aim of this study is to develop a web-based therapy programme (‘LifeCIT’) to
support patients carrying out Constraint Induced Therapy at home (with their
carer where possible) with online therapist support.
To view the website follow the link below and register with a username
comprising 2 letter and 2 numbers and a password of your own choice
https://pips.ecs.soton.ac.uk/player/play/LifeCIT_demo
More information is available at:
https://clinicaltrials.gov/ct2/show/NCT01350453
3. CV and Biography
Jane Helena Burridge, MCSP, LGSM, PhD, Professor of Restorative
Neuroscience. Faculty of Health Sciences, University of Southampton E-Mail
jhb1@soton.ac.uk
1973-1993 Basic grade and then Senior I Physiotherapist specialising in
stroke rehabilitation
1978 - 1990 Raise a family, study music and practice as music teacher and
freelance musician
1/93 - 1/99 Senior I / clinical specialist, research physiotherapist, Salisbury
District Hospital
12/99 –1/03 Senior Lecturer, Head of Postgraduate Education SOHPRS
University of Southampton
1/03 – 9/08 Senior Research Fellow / Senior Lecturer, SOHPRS, University of
Southampton
09/08 Professor of Restorative Neuroscience FOHS, University of
Southampton
I am Professor of Restorative Neuroscience at the University of Southampton,
where I lead the Neurorehabilitation Research Group and Chair the University of
Southampton Strategic Research group ‘Health Technology’. I graduated as a
physiotherapist from Bristol in the UK in 1973 and after working as a physical
therapist for four years, changed career and trained as a musician at the
Guildhall School of Music and Drama in London. I developed a career as a
performer and teacher of the flute and raised a family. In 1993 I began my PhD
study at the University of Southampton and graduated in 1999. My research
enabled response to Functional Electrical Stimulation for drop-foot to be better
predicted by accurate measurement of muscle dysfunction. In 1999 I took up a
senior lectureship at the University of Southampton as Head of Postgraduate
Education with the remit to design and validate a multi-disciplinary MSc in
Rehabilitation.
In 2008 I was appointed to my current position as Chair of Restorative
Neuroscience. Building on my experience as a clinical physiotherapist
specialising stroke, the aim of my work has been to understand the mechanisms
of recovery post-stroke and how this knowledge can be translated into evidence-
based and cost-effective therapy. My research has therefore been into the
development, evaluation and clinical application of novel rehabilitation
technologies, informed by a better understanding of motor control,
neuroplasticity and psychosocial factors. Most of my research is cross-
disciplinary involving collaboration with the disciplines of: electronics &
computer science, signal processing and health psychology.
Between 2009 and 2013, funded by a UK National Institute of Health Research
(NIHR) Programme grant, I explored the barriers to and opportunities for
rehabilitation technologies in upper limb rehabilitation following stroke. We
4. identified key factors such as lack of education and awareness (of both
healthcare professionals and patients and carers) into rehabilitation
technologies, paucity of evidence-based research and NHS funding systems that
inhibit the introduction of new technological approaches to stroke rehabilitation.
My work is funded mainly by the UK NIHR and Engineering and Physical Science
Research Council (EPSRC), the EU FP7 and medical charities. It has focused on
developing home-based rehabilitation technologies, combining robot therapy
with Functional Electrical Stimulation (FES) using Iterative Learning Control,
and with non-invasive brain stimulation using transcranial direct current
stimulation in the treatment of post-stroke hemiplegia. My work also includes
measurement of changes in EEG activity (synchronisation and de-
synchronisation) in healthy people and in stroke rehabilitation using robot
therapy. Working with signal processing engineers, we are developing novel
ways to measure and analyse motor control and spasticity and how impairments
relate to function in older people and patients with stroke. In collaboration with
Health Psychologists we are interested in motivation and adherence in
neurological rehabilitation and barriers to adoption of new technologies.
In collaboration with Health Psychologists I have conducted research, funded
mainly by the NIHR Research for Patient Benefit (RfPB) (2011-2014) into ways
in which patients can be motivated to adhere to their stroke rehabilitation
programme. Based on one of the few technologies that has strong research
evidence, Constraint Induced Movement Therapy (CIMT), but which has not
translated in clinical practice we developed a web-based support programme to
enable patients to use CIMT at home without additional therapist input.
Most recently (Nov 2015) I was awarded an NIHR Invention for Innovation (i4i)
grant to develop a new technology combining mechanomyography and inertial
sensors into a garment to provide feedback to patients and therapists on amount
and quality of upper extremity movement following stroke. This work involves
collaboration with Imperial College London, two NHS Trusts and two UK
companies.
I regularly review proposals and projects for EU FP7 and (H2020), Future and
Emerging Technologies, including Neurobotics and currently the NEBIAS project,
Wellcome Trust, NIHR and EPSRC. I was President of the International
Functional Electrical Stimulation Society from 2011- 2014 and am currently a
member of the Editorial board of the Journal of Neurorehabilitation and Neural
Repair, and the International Journal of Research in Rehabilitation. I am
frequently invited to speak at major International conferences and summer
schools e.g. UK Stroke Forum, World Conference of Neurorehabilitation and US
STEP VI, (https://u.osu.edu/ivstep/).
I am a Consultant for International rehabilitation technology companies
including: Bioness http://www.bioness.com/Home.php and MindMaze
http://www.mindmaze.ch and member of the Scientific Board of Directors,
Hocoma A/C Zurich http://www.hocoma.com/en/
5. PhD supervision: I have Supervised 10 PhD students to completion and am
currently supervising 8 students, three of whom are International. I have
examined more than 14 PhD students including students from Europe and New
Zealand.
Education: I teach at Undergraduate and Masters level and co-led an EU Life-
Long Learning project (€450k) to develop an MSc in Advanced Rehabilitation
Technologies (MSc ART), which involved four European awarding partners and
five Associate partners.
http://www.southampton.ac.uk/healthsciences/postgraduate/taught_courses/
msc_advanced_rehabilitation_technologies.page
Current / Recent Research Grants:
1. 2015-2017: PI: NIHR i4i: Mechanical Muscle Activity with Real-time
Kinematics (M-MARK): A novel combination of existing technologies to
improve arm recovery following stroke (£861k)
2. 2013- 2016: PI: Donaldson, Gall, Roberts. INSPIRE Hospital and home-
based feasibility study of an iCycle for functional recovery after
incomplete spinal cord injury (£38.057) Plus externally funded PhD
studentship
3. 2011–2015: PI: NIHR RfPB: Development and pilot evaluation of a web-
supported programme of Constraint Induced Therapy following stroke
(LifeCIT) (£249,634)
4. 2012-2015: CI EU FP7 ICT Telemedicine System Empowering Stroke
Patients to Fight Back StrokeBack (€3.03M)
5. 2011–2014: CI: Rogers, Freeman. EPSRC Restoration of Reach and Grasp
in Stroke Patients using Electrical Stimulation and Haptic Feedback
EP/I01909X/1 (£464,231) [0.2FTE]
6. 2011-2014: CI: MRC/NIHR Efficacy and Mechanism Evaluation
programme grant. “Clinical efficacy of functional strength training for
upper limb motor recovery early after stroke: neural correlates and
prognostic indicators”. (PI: Pomeroy, Co-applicants: Ward, Johansen-Berg,
van Vilet, Burridge, Hunter, Lemon, Rothwell, Weir, Norrie, Wing, Barton),
£1.2 million
7. 2011-2014: PI: Wessex Medical Trust: Combining transcranial Direct
current stimulation (tDCS) with robot hand training for the severely
impaired hand after stroke (£19,223) Plus externally funded PhD
studentship
8. 2009-2013: Co-applicant NIHR Programme Grant: Development of an
integrated service model incorporating innovative technology for the
rehabilitation of the upper limb following stroke (NIHR RP-PG-0707-
10012) (£1.9M)