philips optical heart rate monitoring module validation … · · 2016-12-30philips optical heart...
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Philips Optical Heart Rate Monitoring Module Validation Study
G Valenti, KR Westerterp
Human biology, Maastricht university
Human Biology 2
Introduction
Introduction Methods Results Conclusion
Photoplethysmography and Heart Rate monitoring
Movement artifacts affect photoplethysmography
Accelerometry can correct movement artifacts
Philips Optical Heart Rate Monitoring Module (OHRM)
© 2012 IDEA G Cennini et al. (2010) © 2012 Philips © Physi-cal Enterprises
Human Biology 3
Aim of the study
To validate OHRM with an electrocardiogram (ECG) as reference.
Introduction Methods Results Conclusion
Human Biology 4
Population
G Valenti
Gender: 14 men and 10 women
Age: 28±9 year
BMI: 22.1±2.8 kg/m2
Skin Color: 18 white, 5 medium, 1 dark
Introduction Methods Results Conclusion
Human Biology 6
Measurements
G Valenti
• New technology
OHRM
Heart rate (1Hz)
Quality index (1Hz, validity: D≥2)
• Reference
GE CASE/CardioSoft
ECG (200 Hz)
• Commercial chest belt
Polar RS800
Heart rate (1Hz)
Introduction Methods Results Conclusion
Human Biology 7
Data Analysis
G Valenti
• HR calculation from ECG
Average of the interval between the first and the last beat in a time window of 7 seconds.
Interpolation and re-sampling (1Hz)
• Synchronization of OHRM and Polar with the ECG (High-pass filter and correlation)
• ECG was the reference to calculate the OHRM Error and the Polar Error.
Introduction Methods Results Conclusion
Human Biology 9
Uptime
• Low uptime during the first walk
Low blood perfusion
• Low uptime during high speed running (55%)
Low specificity of the index
Introduction Methods Results Conclusion
Human Biology 10
BMI effect
Precision tended to be higher in subjects with a higher body mass index (r=0.35).
Introduction Methods Results Conclusion
Human Biology 12
Conclusion
Introduction Methods Results Conclusion
The OHRM is a valid and unobtrusive device to monitor heart rate, not restricted by movement artifacts during physical activities including running, allowing monitoring cardiovascular condition in response to fitness and home health care activities. There are evidence of a positive effect of BMI on OHRM precision.