While lifestyle accounts for up to 3/4 of healthcare costs, most people do not find exercise fun. Some have tried numerous diet and exercise programs with the primary goal of weight loss, only to fail and become discouraged, resulting in worse health outcomes over time. In this paper, we explore crucial elements in consumer engagement that can lead to improved health outcomes. We deploy data mining algorithms to understand the impacts of various interventions, such as social network, visual dashboard, event processing, games and challenges, on health outcomes using data obtained from a clinical trial. We explain what worked, what did not work, and why. More importantly, we describe salient attributes of social health games that are crucial in both consumer engagement and health outcomes.
David Kil is the founder and CEO of HealthMantic, focusing on lifestyle-medical informatics and sensor-based health gaming. Prior to founding HealthMantic, he was Chief Scientist at SKT Americas and Chief Science Officer at Humana, responsible for the development and deployment of healthcare informatics applications. At SKTA, he founded the iWell project and built an integrated wellness platform consisting of sensors, platform, and informatics. The system underwent a successful clinical trial at PeaceHealth with promising results. At Humana, he led the design and development efforts in enterprise knowledge engine, predictive modeling, and outcomes analytics while working with Samsung on U-Health initiatives. The enterprise insight engine won the best-of-breed technology award from the ComputerWorld magazine. He co-authored a book entitled “Pattern Recognition and Prediction with Applications to Signal Characterization” by Springer-Verlag, published over 30 papers, and holds 8 US/European patents. He graduated from the University of Illinois at Urbana-Champaign with BSEE/Chemistry (Highest Honor and Bronze Tablet), the Polytechnic University of New York (MSEE), and Arizona State University (MBA).
Denisa Čiderová: The Era of Science Diplomacy: Implications for Economics, B...CUBCCE Conference
The London-based Royal Society publishing the world’s oldest scientific journal in continuous publication Philosophical Transactions of the Royal Society (since 1665) identified science diplomacy as still a fluid concept that can be applied to the role of science, technology and innovation in three dimensions of policy: Science in diplomacy; Diplomacy for science; Science for diplomacy. In June 2015 the European Commissioner for Research, Science and Innovation Carlos Moedas reiterated the Royal Society’s dimensions of science diplomacy in his speech The EU approach to science diplomacy at the European Institute in Washington.
Terms “diplomacy”, “science” and “art” are marked by variability of interpretations, with the French painter G. Braque pointing at one of possible links between science and art: « L’Art est fait pour trabler, la Science rassure. » (Notebooks: Day and Night, 1952 quoted in PODOLAN, 2014, p. 745); pivotal shift in the perception (of the complexity) of diplomacy is accentuated by editors of The Oxford Handbook of Modern Diplomacy (2013), too.
The University of Economics in Bratislava operating in the European Higher Education Area and the European Research Area celebrated 75th anniversary of its establishment in 2015, in the framework of which the International Scientific Conference for Doctoral Students and Post-Doctoral Scholars EDAMBA 2015 titled “The Era of Science Diplomacy: Implications for Economics, Business, Management and Related Disciplines“ was held on 21 – 23 October 2015 in cooperation with the Business Leaders Forum.
Denisa Čiderová: The Era of Science Diplomacy: Implications for Economics, B...CUBCCE Conference
The London-based Royal Society publishing the world’s oldest scientific journal in continuous publication Philosophical Transactions of the Royal Society (since 1665) identified science diplomacy as still a fluid concept that can be applied to the role of science, technology and innovation in three dimensions of policy: Science in diplomacy; Diplomacy for science; Science for diplomacy. In June 2015 the European Commissioner for Research, Science and Innovation Carlos Moedas reiterated the Royal Society’s dimensions of science diplomacy in his speech The EU approach to science diplomacy at the European Institute in Washington.
Terms “diplomacy”, “science” and “art” are marked by variability of interpretations, with the French painter G. Braque pointing at one of possible links between science and art: « L’Art est fait pour trabler, la Science rassure. » (Notebooks: Day and Night, 1952 quoted in PODOLAN, 2014, p. 745); pivotal shift in the perception (of the complexity) of diplomacy is accentuated by editors of The Oxford Handbook of Modern Diplomacy (2013), too.
The University of Economics in Bratislava operating in the European Higher Education Area and the European Research Area celebrated 75th anniversary of its establishment in 2015, in the framework of which the International Scientific Conference for Doctoral Students and Post-Doctoral Scholars EDAMBA 2015 titled “The Era of Science Diplomacy: Implications for Economics, Business, Management and Related Disciplines“ was held on 21 – 23 October 2015 in cooperation with the Business Leaders Forum.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
HOT NEW PRODUCT! BIG SALES FAST SHIPPING NOW FROM CHINA!! EU KU DB BK substit...GL Anaacs
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Threema: PXHY5PDH
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5cl-adba precursor (semi finished )
5cl-adba raw materials
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ADBB raw materials
APVP powder
5fadb/4f-adb
Jwh018 / Jwh210
Eutylone crystal
Protonitazene (hydrochloride) CAS: 119276-01-6
Flubrotizolam CAS: 57801-95-3
Metonitazene CAS: 14680-51-4
Payment terms: Western Union,MoneyGram,Bitcoin or USDT.
Deliver Time: Usually 7-15days
Shipping method: FedEx, TNT, DHL,UPS etc.Our deliveries are 100% safe, fast, reliable and discreet.
Samples will be sent for your evaluation!If you are interested in, please contact me, let's talk details.
We specializes in exporting high quality Research chemical, medical intermediate, Pharmaceutical chemicals and so on. Products are exported to USA, Canada, France, Korea, Japan,Russia, Southeast Asia and other countries.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
HOT NEW PRODUCT! BIG SALES FAST SHIPPING NOW FROM CHINA!! EU KU DB BK substit...GL Anaacs
Contact us if you are interested:
Email / Skype : kefaya1771@gmail.com
Threema: PXHY5PDH
New BATCH Ku !!! MUCH IN DEMAND FAST SALE EVERY BATCH HAPPY GOOD EFFECT BIG BATCH !
Contact me on Threema or skype to start big business!!
Hot-sale products:
NEW HOT EUTYLONE WHITE CRYSTAL!!
5cl-adba precursor (semi finished )
5cl-adba raw materials
ADBB precursor (semi finished )
ADBB raw materials
APVP powder
5fadb/4f-adb
Jwh018 / Jwh210
Eutylone crystal
Protonitazene (hydrochloride) CAS: 119276-01-6
Flubrotizolam CAS: 57801-95-3
Metonitazene CAS: 14680-51-4
Payment terms: Western Union,MoneyGram,Bitcoin or USDT.
Deliver Time: Usually 7-15days
Shipping method: FedEx, TNT, DHL,UPS etc.Our deliveries are 100% safe, fast, reliable and discreet.
Samples will be sent for your evaluation!If you are interested in, please contact me, let's talk details.
We specializes in exporting high quality Research chemical, medical intermediate, Pharmaceutical chemicals and so on. Products are exported to USA, Canada, France, Korea, Japan,Russia, Southeast Asia and other countries.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Title: Sense of Smell
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 primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
8. Web service features
Customizable health
summary page
Zite-like
personalized
reading section Goals
Virtual
Virtual
CoachCoach
Social/coach
nudging based
on CEP
Challenges, gam
Coach es, friends,
& role models
12. Taking a closer look
PeaceHealth results
BMI
Social nudging
Biomarkers
Activities
Tracking systems
Real time feedback
13. BMI changes vs. steps per day
Relationship is not as strong as expected
BMI % Change
3.2%
weight
loss
8600 steps a day
Steps per day (1000 steps)
14. Improving SN improves health
Social nudging plays an important role
Emerging influencers
87%role model request accepted
78%friend request accepted
15. Passing the smell test
Relationships among activities, biometrics and biomarkers
Steps per day: Time (y) vs. users
Steps per day: 10/12/03
Time (y) vs users
11/03/13
11/06/21
SPD in K steps
5 BMI change 15
0 10
-5 5
Correlation between
SPD & HDL = 0.25 -10 0
0 50 100 150 200 250
LDL: = -0.059 HDL: = 0.251 TC: = -0.001 TG: = -0.085
SPD, BMI
= -0.24 40 50
20 10 100
0 0 0
-20 0
Correlation between 0 -40 -10 -50
-100
-60
SPD & BMI = –0.24
-20
-5 -80 -100 -200
-30
5 10 15 5 10 15 5 10 15 5 10 15
BMI
-10 FPG: = -0.023 HbA1c: = -0.062 TG/HDL: = -0.143 TG/HDL vs. BMI : = 0.197
4 4
-15 50 0 2 2
0 0
0 -1
Correlation between BMI -20 -2
-4
-2
-4
5 10 15 -2
& TG/HDL = –0.20
-50 -6 -6
SPD (K steps) 5 10 15 5 10 15 5 10 15 -20 -10 0
SPD (K steps) BMI % change
16. Disease risk vs. health outcomes
Better health outcomes for high risk participants
Lowering FPG
64.0% of high-risk people lowered FPG while
47.5% of the rest moved in the right direction
Weight Loss
Greater weight loss for the higher-risk
subgroup 6.4 lbs vs. the rest 3.7 lbs. Seniors lost
7.8% weight
Cholesterol
223 to 214 mg/dL little change for the rest
Triglycerides
183 to 157 mg/dL little change for the rest
17. Good predictors for weight loss
Social nudging & key service features
SPD FDR= 0.54
20
Weight loss
18 No weight loss
Feature Fisher’s ratio 16
Average steps per day 0.54 14
PDF comparison of
steps per day
# of users
12
# of goals 0.52 between those
10
# of competitions 0.36 withlargeweight loss
8
# of wellness games 0.35 and small weight
6
loss
# of students 0.31 4
2
# of UGC nudging
0.22
received from friends 0
0 0.5 1 1.5 2 2.5
Average steps per day x 10
4
# of UGC nudging Ngoals FDR= 0.52
0.20 25
written Weight loss
No weight loss
# of family members 0.14
20
PDF comparison of the
UGC = User generated content number of goals set
# of users
15
between those with
large weight loss and
10
small weight loss
5
0
0 5 10 15 20 25 30
# of goals
18. BRN is better at predicting weight loss
As we add more features, performance improves
Prediction accuracy
improves as we add
good features
19. Best predictor
Success begets more success Lab data
Steps
Wellness
score
PA
trends
Social
reputation
Competition
& games
Weight Goal difficulty
SN Goals
activities
20. Why not better results?
Lessons learned from listening to participants and data
• Pedometer = blunt instrument
• Real-time feedback vs. near real-time
feedback
• Full credit, not partial credit
• 30% hunger factor
21. The right approach
Gentler, more effective, shorter, personalized workout
• When is enough enough?
• Sufficient statistics concept
• Motion sensing and classification
• Exercise to improve flexibility, balance, strength, and cardio
Full credit & real-time feedback
• Games during rest for fun & relaxation
• Where is the “fitness science” for the masses?
23. My 2 year health data
I ran a total of 2 marathons & 8 half marathons
Min-by-min Activity Pattern: Co pa raw 20
½ marathon 10 mph
3:20 No
6:40
device
10:00
Seoul
13:20
16:40 Madrid
20:00
23:20 0 mph
160 Steps per day (K) 40
155 Weight (lbs)
20
150
145 0
40
# friends
20
0
100
50
Wellness meter
Social reputation score
0
10/05/13 10/07/02 10/08/21 10/10/10 10/11/29 11/01/18 11/03/09 11/04/28 11/06/17
24. My last half marathon run
Are treadmills designed to torture prisoners?
Short walk Long walk
Run, run, and run some
more
25. Can we differentiate?
Cycling, elliptical and walk/run for full credit
Dave tread ellipt cycle walk 04 Dec 2011.csv
3000 Parameters for real-time
Magnitude
2000
feedback
Treadmill Elliptical Cycling Walk • Duration
1000
• VO2max
0 1 2 3 4 5 6 • Speed/distance
Sample index (30 Hz) 4
SPM, strides per min, and RPM over time
x 10 • Calories
300 • HIIT parameters
Activity intensity
200
• RPM parameters
• …
100
0
0 1 2 3 4 5 6
Sample index (0.1172 Hz) 4
x 10
Activity Classification Decision
stairs 800
cycling 600
elliptical 400
walk/run 200
no activity
0 1 2 3 4 5 6 0
0 20 40 60 80 100 120 140 160 180 200
4
x 10
26. Adding HIIT for greater effectiveness
Helps build strength and endurance fast
800
600
Outside walk
400
High-intensity interval training
200
Elliptical
0
0 50 100 150 200
27. Recognition of motion building blocks
Personalized fitness programs
A library of 300 motions consisting of The Happy Body, Tai Chi, Qi-Gong, Resistance, Tibetan
Rites, Martial Arts, Dynamic/Static Stretching, Cardio, Tabata, Yoga, Pilates, etc.
28. Importance of resistance training
Improving body composition – fallacy of BMI
Raw gyroscope sensor data after signal processing
5000
0
Roll
Pitch
Yaw
-5000
0 2000 4000 6000 8000 10000
Combined accelerometer and gyroscope outputs
1200
Chin-ups Bicep curl Pull
1000
One-arm side pull downs
800 Accelerometer
Bench press Gyroscope
600
400
200
0
0 500 1000 1500 2000 2500 3000 3500
30. Losing the last 10 – 15lbs
The right way
1. Easy, short effective Weight & body fat/muscle %
• No punishing workout
• Fun motion interval training
including free weights
2. Positive Health outcomes
• Instant performance feedback
• Sensible nutrition plan – no
diet, more awareness
• Healthy micro-habit formation
3. Financial ROI
34. Lessons learned
Easy on ramp, effective, science, enjoyable
• Right way to improve health
• Personalized and effective workout & relaxation plans
• Body fat and muscle science (no BMI obsession)
• Enough workout, enough food, & self- awareness
Lifestyle habit formation with real-time learning Enjoy
Life & Share with Others!
35. Future directions
Take the solution to the masses
• Larger pilot with an academic medical center
• Personalized lifestyle-medical informatics
• Holistic mind-body health
• Motion interval training
• Games for relaxation, brain fitness, and social nudging
• More meaningful biometric data & feedback
Case study: Start with a powerful message and demo. 2010 start study We got these results. Background, demo, slides
Mixed biomarker results highlighting distinct physiological events …6 months is too short to sort these out effectively…but iWell shows that it is possible to document clinically relevant co-occurrences that will eventually allow us to separate out weight loss that is health promoting from weight loss that is not.
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
FPG: 64.0% of high-risk people lowered FPG while 47.5% of the rest moved in the right directionWeight Loss: Greater weight loss for the higher-risk subgroup vs. the rest 6.4 vs. 3.7 lbs Seniors lost 7.8% weightCholesterol: Reduction from 223 to 214 mg/dL vs. little change for the rest Triglycerides (more meaningful measure for insulin resistance): Reduction from 183 to 157 mg/dL vs. little change for the rest
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)
Statistically significant weight loss 3.2% for overall7.8% for those ≥ 65Predictive model showed the importance of social components and key service features in weight loss Social network perturbation and social nudging effective in improving activities The more friends, the more steps Role model and social nudgingCompetitions, wellness games, and goal-related tasks Emerging influencers Peer-to-peer Significant increase in physical activities 2-4K to 8.5K steps per dayGood engagement in service usage stats 20% drop out50% still using after the pilotThe higher the disease burden, the better outcomesGood biomarker results for those at high risk, but mixed results for the rest highlighting distinct physiological events (6 months too short)