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Ambulatory monitor derived clinical measures for continuous assessment of cardiac rehabilitation patients Dr Niranjan P Bidargaddi Research Scientist 28 th  August 2008 Patient centred health care
[object Object],[object Object],[object Object]
CSIRO Divisions and joint ventures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],6,000+ staff at 57 sites in Australia and overseas $1 billion pa (600 million euro) Federal:70% External:30%
CSIRO – 80 years of achievement
ICT Centre Sites and Staff ,[object Object],[object Object],[object Object],Hobart ~30 Tasmanian ICT Centre Brisbane ~65 Autonomous Systems e-Health Research Centre Sydney ~ 125 Wireless Technologies Networking Technologies Information Engineering Autonomous Systems Canberra ~30 Information Engineering Networking Technologies
e-Health Research Centre ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Care Assessment Platform project aims to develop and show evidence of IT/ telemonitoring tools in supporting Community Care teams focused on secondary prevention of Cardiovascular Diseases
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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Burden of Cardiovascular Diseases on Healthcare  ,[object Object],[object Object],[object Object],CVD is one of the largest health problems in Australia, USA, and other western countries Source: National Heart Foundation of Australia
[object Object]
Prevention of Cardiovascular disease Cardiac  events Healthy Lifestyle ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Stage-1 Primary  prevention Secondary prevention Stage-2 Sustain Healthy Lifestyle Reduces risk of Cardiac events
Role of Exercises in Cardiac Rehabilitation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],* M. Kukielka, et al., Cardiac vagal modulation of heart rate during prolonged submaximal exercise in animals with healed myocardial infarction: effects of training, Am J Physiol. Heart Circ Physiol. 290,1680-1685 2005. # J. Myers et al., Effects of exercise training on heart rate recovery in patients with chronic heart failure, American Heart Journal, 153(6), 1056-1063, 2007.
Cardiac Rehabilitation: Core elements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CVD Management Programmes- Underused? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Main Problem in Cardiac Rehabilitation:
[object Object],[object Object]
Patient Centric Care Model CAP Server Wellness Diary Nutrition Info Excercise info Health Reports Wellness  Diary Exercise  coach Tele- Consultation Personal devices Health Records Health Information Self management Treatment Counselling Coaching ,[object Object],Mobile/PC Applications:
[object Object]
Why Trials? New Technology Relevance Positive Outcomes Uptake Phase 1 trial Phase 2 trial
Project phase 1 (2007) objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],What automatically derived measures can be used to assess and follow the patient’s condition during the program?
[object Object]
Phase 1 trial: Hospital-based cardiac rehabilitation program in Caboolture & Redcliffe hospitals (QLD) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Monitor attached to waist
Ambulatory Monitoring Technology in Phase 1: Waist worn movement activity monitor records X-, Y- and Z- acceleration and 1 lead ECG Sit to stand transition Walking Important movement patterns can be automatically detected:
Cardiac rehabilitation exercise program
[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Clinically significant measures derived from measures of accelerometer signals… ,[object Object],[object Object],[object Object],derived from measures of ECG signals…
Physical activity intensity  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source:  Centre for disease control and prevention   http://www.cdc.gov/nccdphp/dnpa/physical/recommendations/index.htm
Metabolic expenditure, daily profile Cardiac Rehabilitation aims at an accumulation of 30 minutes or more of light to moderate (3.2 – 4.7 MET) physical activity on most days of the week Minute by minute metabolic expenditure can be calculated from the accelerometer signal
Metabolic expenditure trend during 6 week CR
Active/Inactive Ratio trend during 6 weeks of CR Active (Running, Walking, working, etc)  (Moderate and  Vigorous intensity activities > 3MET) Inactive (Sleep, Lying down, Sitting) Days
Sleep Distribution, daily profile
Sleep Distribution,daily profile
Gait stability trend during 6 weeks of CR
Walking duration trend during 6 weeks of CR
Ambulatory ECG Derived features
Exercise heart rate distribution
Continuous heart rate, daily profile
Exercise respiratory rate distribution
Continuous respiratory rate, daily profile
Respiratory rate regularity (Smoothness)
Heart rate variability (RMSSD) during exercise Resting – Parasympathetic/vagal tone active  Exercise – Sympathetic > Parasympathetic
Phase 1 clinical trial, summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Set of clinically relevant measures to assess patient’s condition during cardiac rehabilitation Patient R1RC data Good Bad
Human Factors Unacceptable Poor Average Good Excellent Comfortness of  monitor on waist Comfortness ECG  leads Trial satisfaction
Human Factors No Sometimes Yes Disruption to Normal activities? Wear monitors  During sleep? Did wearing monitor Encourage in setting exercise goals?
[object Object]
CAP phase 2 (2008): objectives Establish a sustainable and comprehensive home-based care process assisted with IT solutions  and show its benefits compared to conventional approaches through a randomized controlled clinical trial Create new clinical information on the behavioural and exercise patterns of the home-care patients through dynamic analysis of free living unconstrained physiological data  To develop data analysis tools and a software framework to process clinically relevant information from the home-monitoring systems.
Research questions - 2008 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Phase 2, Clinical study setup Patient Consent Test Group 2 Randomization Test Group 1 Control Group Pre- assessment of outcome measures Evaluation, analysis, reporting Hospital rehabilitation without IT, N=80 Test Group 3 Hospital rehabilitation  using IT, N=80 Home-based care without IT N=80 Home-based care using IT N=80 Post- assessment of outcome measures Cost-effectiveness analysis Site1 Site2 No rehabilitation - self care, N=80 Test Group 4 6 months follow-up Drop out Evaluation, analysis, reporting
Thank you Contact Us Phone: 1300 363 400 or +61 3 9545 2176 Email: enquiries@csiro.au  Web: www.csiro.au e-Health Research Centre/ICT Centre Phone: +61 7 3024 1651 Email: niranjan.bidargaddi@csiro.au Web:  http://e-hrc.net/cap/index.html

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Ambulatory monitor derived clinical measures for continuous assessment of cardiac rehabilitation patients

  • 1. Ambulatory monitor derived clinical measures for continuous assessment of cardiac rehabilitation patients Dr Niranjan P Bidargaddi Research Scientist 28 th August 2008 Patient centred health care
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  • 4. CSIRO – 80 years of achievement
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  • 7. Care Assessment Platform project aims to develop and show evidence of IT/ telemonitoring tools in supporting Community Care teams focused on secondary prevention of Cardiovascular Diseases
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  • 19. Why Trials? New Technology Relevance Positive Outcomes Uptake Phase 1 trial Phase 2 trial
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  • 23. Ambulatory Monitoring Technology in Phase 1: Waist worn movement activity monitor records X-, Y- and Z- acceleration and 1 lead ECG Sit to stand transition Walking Important movement patterns can be automatically detected:
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  • 28. Metabolic expenditure, daily profile Cardiac Rehabilitation aims at an accumulation of 30 minutes or more of light to moderate (3.2 – 4.7 MET) physical activity on most days of the week Minute by minute metabolic expenditure can be calculated from the accelerometer signal
  • 29. Metabolic expenditure trend during 6 week CR
  • 30. Active/Inactive Ratio trend during 6 weeks of CR Active (Running, Walking, working, etc) (Moderate and Vigorous intensity activities > 3MET) Inactive (Sleep, Lying down, Sitting) Days
  • 33. Gait stability trend during 6 weeks of CR
  • 34. Walking duration trend during 6 weeks of CR
  • 36. Exercise heart rate distribution
  • 37. Continuous heart rate, daily profile
  • 41. Heart rate variability (RMSSD) during exercise Resting – Parasympathetic/vagal tone active Exercise – Sympathetic > Parasympathetic
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  • 43. Human Factors Unacceptable Poor Average Good Excellent Comfortness of monitor on waist Comfortness ECG leads Trial satisfaction
  • 44. Human Factors No Sometimes Yes Disruption to Normal activities? Wear monitors During sleep? Did wearing monitor Encourage in setting exercise goals?
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  • 46. CAP phase 2 (2008): objectives Establish a sustainable and comprehensive home-based care process assisted with IT solutions and show its benefits compared to conventional approaches through a randomized controlled clinical trial Create new clinical information on the behavioural and exercise patterns of the home-care patients through dynamic analysis of free living unconstrained physiological data To develop data analysis tools and a software framework to process clinically relevant information from the home-monitoring systems.
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  • 48. Phase 2, Clinical study setup Patient Consent Test Group 2 Randomization Test Group 1 Control Group Pre- assessment of outcome measures Evaluation, analysis, reporting Hospital rehabilitation without IT, N=80 Test Group 3 Hospital rehabilitation using IT, N=80 Home-based care without IT N=80 Home-based care using IT N=80 Post- assessment of outcome measures Cost-effectiveness analysis Site1 Site2 No rehabilitation - self care, N=80 Test Group 4 6 months follow-up Drop out Evaluation, analysis, reporting
  • 49. Thank you Contact Us Phone: 1300 363 400 or +61 3 9545 2176 Email: enquiries@csiro.au Web: www.csiro.au e-Health Research Centre/ICT Centre Phone: +61 7 3024 1651 Email: niranjan.bidargaddi@csiro.au Web: http://e-hrc.net/cap/index.html