Gamifying wearables for serious medical applications like back health. A wearable with sensors and an app can provide real-time feedback on exercises to treat non-specific lower back pain through a serious game approach. This empowers patients to do self-guided therapy and links to medical professionals. In contrast to general fitness trackers, it focuses on the therapy goal through customized movements, compensation detection, and performance metrics to improve care between therapy sessions.
Introduction to Health Informatics and Health IT in Clinical Settings (Part 1...Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 17, 2020
Presented at the Data Science for Healthcare Graduate Programs, Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 7, 2019
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 4, 2021
Introduction to Health Informatics and Health IT in Clinical Settings (Part 1...Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 17, 2020
Presented at the Data Science for Healthcare Graduate Programs, Section for Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 7, 2019
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 4, 2021
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
EMPHNET - PHE Course: Module 04 - Ethical issues in health promotionDr Ghaiath Hussein
Define the concepts and scope of health promotion
List the ethical principles that arise from health promotion activities
Discuss the ethical issues that arise from health promotion, and
Analyse and manage the ethical issues utilizing the ethical frameworks
The use of information and communication technologies is seen as an essential tool for the future development of our healthcare systems. E-health is one of the fastest growing industries. Not only can it make our healthcare systems more efficient, it can also increase its overall quality.
Presentation given at Health Informatics and Knowledge Management conference
(http://publichealth.curtin.edu.au/HIKM/), as part of Australasian Computer Science Week 2012.
http://www.cs.rmit.edu.au/acsw2012/
MEDINFO 2013 Panel on Personalized Healthcare and Adherence: Issues and Chall...Pei-Yun Sabrina Hsueh
Venue: The 14th World Congress on Medical and Health Informatics will take place in Copenhagen, Denmark.
http://medinfo2013.dk
Moderator: Dr. Marion Ball (IBM Research/JHU); Panelists: Dr. Vimla Patel (NYAM), Dr. Bern Shen (Healthcrowd), Dr. Pei-Yun Sabrina Hsueh (IBM Research)
Organizer: Dr. Pei-Yun Sabrina Hsueh (phsueh@us.ibm.com)
Personalization is key to the delivery of wellness care including preventive measures and disease management regimes, where patients take on increased responsibility for
their own health. While personalized care has already taken a giant leap through genomics, it remains a challenge to understand how individual differences play a role in patient adherence and manage recommended changes accordingly.
Practical methods of creating and evaluating personalized
systems have not been fully established. In particular, the role of data-driven analytics in producing actionable insights for practitioners is unclear, and the use of behavioral data has created additional challenges to the understanding of patient adherence for effective care delivery.
The panel will discuss the challenges that face many countries around personalized care from various perspectives. These range from behavioral aspects such as maintaining good practices, cognitive aspects such as how do individuals make decisions in the lights of good evidence, social aspects such as how to engage patients in sustaining adherence behavior, to technological aspects such as how to evaluate individual applicability of data-driven analytics and personalized technological systems.
The panel is expected to contribute to the global community by presenting lessons learned from
existing pilot designs and a collective list of recommendations for pilot design of personalized services at the conclusion of this panel.
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
EMPHNET - PHE Course: Module 04 - Ethical issues in health promotionDr Ghaiath Hussein
Define the concepts and scope of health promotion
List the ethical principles that arise from health promotion activities
Discuss the ethical issues that arise from health promotion, and
Analyse and manage the ethical issues utilizing the ethical frameworks
The use of information and communication technologies is seen as an essential tool for the future development of our healthcare systems. E-health is one of the fastest growing industries. Not only can it make our healthcare systems more efficient, it can also increase its overall quality.
Presentation given at Health Informatics and Knowledge Management conference
(http://publichealth.curtin.edu.au/HIKM/), as part of Australasian Computer Science Week 2012.
http://www.cs.rmit.edu.au/acsw2012/
MEDINFO 2013 Panel on Personalized Healthcare and Adherence: Issues and Chall...Pei-Yun Sabrina Hsueh
Venue: The 14th World Congress on Medical and Health Informatics will take place in Copenhagen, Denmark.
http://medinfo2013.dk
Moderator: Dr. Marion Ball (IBM Research/JHU); Panelists: Dr. Vimla Patel (NYAM), Dr. Bern Shen (Healthcrowd), Dr. Pei-Yun Sabrina Hsueh (IBM Research)
Organizer: Dr. Pei-Yun Sabrina Hsueh (phsueh@us.ibm.com)
Personalization is key to the delivery of wellness care including preventive measures and disease management regimes, where patients take on increased responsibility for
their own health. While personalized care has already taken a giant leap through genomics, it remains a challenge to understand how individual differences play a role in patient adherence and manage recommended changes accordingly.
Practical methods of creating and evaluating personalized
systems have not been fully established. In particular, the role of data-driven analytics in producing actionable insights for practitioners is unclear, and the use of behavioral data has created additional challenges to the understanding of patient adherence for effective care delivery.
The panel will discuss the challenges that face many countries around personalized care from various perspectives. These range from behavioral aspects such as maintaining good practices, cognitive aspects such as how do individuals make decisions in the lights of good evidence, social aspects such as how to engage patients in sustaining adherence behavior, to technological aspects such as how to evaluate individual applicability of data-driven analytics and personalized technological systems.
The panel is expected to contribute to the global community by presenting lessons learned from
existing pilot designs and a collective list of recommendations for pilot design of personalized services at the conclusion of this panel.
Engines of Success for U.S. Health Reform?
Eric B. Larson, MD, MPHVice President for Research, Group Health Executive Director, Group Health Research Institute
EMPHNET-PHE course: Module03 ethical issues in surveillance, screening and ou...Dr Ghaiath Hussein
This is a series of presentations I gave in the Eastern Mediterranean Public Health Network (EMPHNET)'s Public Health Ethics (PHE) that was held in Amman in June 2014.
This presentation outlines the ethical issues related to surveillance, screening, and outbreak investigation.
Homeostasis is nature’s engineering behind the most complex autonomic system that exists: the human body. Homeostasis is a self-regulating process by which biological systems tend to maintain stability while adjusting to conditions that are optimal for survival. Disruption in homeostasis results in malfunctioning of natural autonomic system causing chronic diseases. Chronic diseases have been the leading cause of death and human suffering in the last 50 years. They also have resulted in highest financial burden for individuals and countries. This can be corrected using external augmentation of the homeostasis loop. Recent progress in artificial pancreas for Type 1 Diabetes is a compelling example for such augmentation. In this paper we discuss emerging multimodal approaches for such augmentation in the context of chronical diseases. We show that multimodal sensing and fundamental technology developed by multimedia computing community may offer powerful augmentation of natural homeostasis to assist in management of chronic diseases.
IoT, Big Data Healthcare Summit Western Canada - Wearables from Lab to Bedsid...Ingunn Grip Fjær
Wearables from Lab to Bedside: The Stanford Wearable Health Lab Story by Matthew Smuck, MD, Chief, Physical Medicine & Rehabilitation, Associate Professor, Orthopaedics, Director, Wearable Health Lab, Stanford University. Presented at the IoT, Big Data Healthcare Summit Western Canada on February 1, 2017.
HXR 2016: FAST TRACK: Prove It: The role of Evidence and Insights in Health I...HxRefactored
Health intervention design is a comprehensive process that is aiming to solve multifactorial problems. How to identify these factors and approach them? How to decide who will be the best target audience for the intervention? Where would these evidence and insights come from? During this session you will learn what are the must-haves of a health intervention, what are the most common pitfalls that can ruin your intervention and how you can enhance your health intervention design using insights from research.
How to address privacy, ethical and regulatory issues: Examples in cognitive ...SharpBrains
How to address privacy, ethical and regulatory issues: Examples in cognitive enhancement, depression and ADHD
Dr. Karen Rommelfanger, Director of the Neuroethics Program at Emory University
Dr. Anna Wexler, Assistant Professor at the Perelman School of Medicine at UPenn
Jacqueline Studer, Senior VP and General Counsel of Akili Interactive Labs
Chaired by: Keith Epstein, Healthcare Practice Leader at Blue Heron
Slidedeck supporting presentation and discussion during the 2019 SharpBrains Virtual Summit: The Future of Brain Health (March 7-9th). Learn more at:
https://sharpbrains.com/summit-2019/
Feinberg School of Medicine, Northwestern University, Chicago USA.
Presentation given at "Health Literacy Network: Crossing Disciplines, Bridging Gaps", November 26, 2013. The University of Sydney.
263778731218 Abortion Clinic /Pills In Harare ,sisternakatoto
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Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
ABDOMINAL TRAUMA in pediatrics part one.drhasanrajab
Abdominal trauma in pediatrics refers to injuries or damage to the abdominal organs in children. It can occur due to various causes such as falls, motor vehicle accidents, sports-related injuries, and physical abuse. Children are more vulnerable to abdominal trauma due to their unique anatomical and physiological characteristics. Signs and symptoms include abdominal pain, tenderness, distension, vomiting, and signs of shock. Diagnosis involves physical examination, imaging studies, and laboratory tests. Management depends on the severity and may involve conservative treatment or surgical intervention. Prevention is crucial in reducing the incidence of abdominal trauma in children.
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMS By - AKANKSHA ASHTANKAR
1. Gamifying wearables for
serious medical
applications: A case
study on back health
Dr. Robert MacKenzie
https://ch.linkedin.com/in/robertneilmackenzie
Royal Society of Medicine: Telemedicine & eHealth
HOW CAN WEARABLES IMPROVE HEALTH AND CARE?
2. The Lokomat
Hocoma - Leader in Robot-Assisted Functional Movement Therapy
Cochrane Review 2013 - Mehrholz, J., Elsner, B., Werner, C., Kugler, J., Pohl, M. (2013). «Electromechanical-assisted training for walking after
stroke.» Cochrane Database Syst Rev 7: CD006185.
3. • Wear a band, watch, belt, clip etc.
• Sensors collect a set of parameters (i.e. data)
• Algorithms (app) provide analysis and
recommendations on how to improve your well being
• Regular folks empower themselves
with appropriate sensors & data
• Increase (awareness of) physical activity
• Improve fitness (“health”)
• Benchmark performance in the context of a larger group
• Leveraged social network support (i.e. accountability)
• High-tech nagging to urge you to do the right thing
• Many become immune to product use and benefit
Telemedicine and eHealth require better
results with new wearable paradigms!
4. !
Solutions looking for problems
Where is the direct causality between problems
(i.e. pathologies) and solutions (i.e. treatments)
for wearables in medical health?
https://rockhealth.com/reports/the-future-of-biosensing-wearables/
5. • Benchmark performance in the context of a larger group
• Leveraged social network support (i.e. accountability) and link to
targeted intervention, control and medical support
• Learn new behaviour(s) for self-guided prevention and treatment
• Enable early diagnosis, treatment and study enablement with
meaningful, contextual data, instead of “just” big data
• Wear a band, watch, belt clip etc.
• Sensors collect a set of parameters (i.e. data)
• Algorithms (app) provide feedback for medically
meaningful, timely (e.g. real-time) learning experience
• Regular folks empower themselves
with specific sensor & app solution
• Increase (awareness of) physical activity
and quantifiable state of health
• Improve health and treat pathology
• Data owned by user for targeting sharing with
medical professionals
Alternative Paradigm
Purpose-driven, evidence-based wearables
focused on self-treatment, experience &
learning with specific links to medical system
How?
Serious Medical Gamification!
6.
7. • Blunt, Richard (2009) Does Game-Based Learning Work? Results from Three Recent Studies
• Van Eck, Richard (2006) Digital Game-Based Learning, EduCause Vol 41. No 2.
• Kapp, Karl (2012) The Gamification of Learning: What Research Says About Simulations and Serious Games
Serious Games
- designed for a primary purpose (i.e. learning) other than pure entertainment
9. Consumer Wearables
Usable and purchasable by anyone
Consumer Medical Wearables
Purchasable and usable by anyone
Clinical Medical Wearables
Medical expert use or prescription
ECG Signal Continuous Glucose
Motion, Heart Rate
Blood Pressure Continuous Glucose+Posture
ECG & Respiration
Functional Back Therapy
Functional Back Assessment
Fitness Activity
MedicalRegulation
Emerging wearable category for telemedicine & eHealth
… …
10. • 80-90% of lower back pain is
musculoskeletal related
• Classified as non-specific back pain,
because no direct caused can be
diagnosed
• Most people resort to some form of
self-therapy (e.g. yoga, medication,
ignoring the problem)
How do wearables and back pain fit together?
12. What Is the Optimal Therapy for Back Pain?
Multimodular
Approach
Psychotherapy &
Stress Reduction
Exercise Therapy
Medication &
Surgery
Other (e.g.
Massages, TCM,
Hot/Cold,
Supports,
Magnetic Pulse)
• Chapter 4. European guidelines for the management of chronic nonspecific low back pain. Eur Spine J, 15, Airaksinen, Brox, Cedraschi,
Hildebrandt, Klaber-Moffett, Kovacs, Mannion, Reis, Staal, Ursin, Zanoli, et al., 2006
• High-quality controlled trials on preventing episodes of back problems: systematic literature review in working-age adults, Bigos SJ, Holland J,
Holland C, Webster JS, Battie M, Malmgren JA., 2009 http://www.ncbi.nlm.nih.gov/pubmed/19185272
13. Conventional Back Therapy (e.g. Between Sessions)
Common Patient Problems
• No access to a therapist!
• Interest, time, money, available
appointments, etc.
• Motivation to exercise?
• Movements are boring
• Guidance, real-time feedback &
(expert) source of information?
• What should I do?
• How much should I do it?
• Am I doing it right? Wrong?
• Quantifying performance & my
specific activity?
• To whom accountable?
14. 100
%
Simple Back Therapy Timeline
Therapy
Continues
Therapy Session Therapy SessionBetween Sessions
30
%
Patient “movement”
Pharmacy
Therapist
Chiropractor
Doctor
Prevention
Self-Therapy
No Action
Patient
1) Has low back pain
2) Seeks advice diagnosis and
treatment INSIDE medical system
3) performs self-therapy OUTSIDE of
and with a weak link to the medical
system
70
%
15. 100
%
Alternative Back Therapy Timeline
Therapy Session Therapy Session
Therapy
Continues
Wearable Therapy
Patient
1) Has low back pain
2) Seeks advice diagnosis and
treatment INSIDE medical system
3) Certain population performs self-
therapy OUTSIDE of and with a
weak link to the medical system
4) Consumer medical wearables to
empower self-therapy & link to
medical system
30
%
Empower
Self-Therapy
Pharmacy
Therapist
Chiropractor
Doctor
New patient interaction
Prevention
Self-Therapy
No Action
70
%
16. How
How can a consumer medical wearable help treat chronic low back pain?
17. Functional Movement Therapy
+ Technology
= Redevelopment of Core &
Deep Muscles
= Restoration of Motion to
Vertebral Joints
= Motivation, Learning &
Real-Time Feedback
Exercise
Therapy
Gamification &
Mobile Technology
19. Reinventing the Back Exercising Experience
• Focus on the therapy goal, not just fitness
• Movement Awareness
• Mobilization
• Stabilization
• Stretching
• Balancing
• 17+ movements from classic therapy
• 45+ therapeutic exercises developed with
therapists & movement experts
20. Compensation Feedback
• Mild – Red colour
• Medium – Smoke,
enlarged Movement Tutor,
pre-warning of severity
• Severe – Complete
“Severe Action” window
and game pause to study
ideal movement from the
Movement Tutor
Serious Game Elements
• Continuous correction
small, fine movements
• Back movement mirroring
• Movement guidance
• Movement awareness
• Performance (score,
movement indices)
• Augmented Performance Feedback demonstration of Valedo: www.valedotherapy.com
Bewegung für einen gesunden Rücken dank Wearables im Home Market
Einleitung Hocoma & funktionelle Bewegungstherapie anhand Beispiel (Lösung)
Wieso braucht Rückengesundheit eine Revolution (Problem)
- Problem bzw. Lösung näher eingrenzen (d.h. Wie können wir Bewegungstherapie besser machen?)
Wieso braucht Rückengesundheit eine Revolution (Problem)
So läuft Bewegungstherapie heute ab
Leute machen es NICHT, FALSCH, oder …
Wieso braucht Rückengesundheit eine Revolution (Problem)
- So läuft Bewegungstherapie heute ab
So könnte Therapie mit Valedo ablaufen. Wir mischen den Bereich auf!
Selbsthelfer haben eine neue Alternative
Selbsthelfer können eine Interaktion mit Therapeuten aufbauen
Therapeuten können manche Patienten zum Valedo bringen