HR R-peak detection quality index analysis
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This project aims for a comparison study about heart rate (HR) R-peak detection and their quality index analysis for the two systems i.e., PPG sensor system and the camera system developed at Mälardalen University, Sweden. Also, the number of R-peaks in BMP i.e., HR is also extracted using both the systems will be compared. A measurement protocol is considered with 15 different test (i.e., challenging) conditions. The conditions are: normal sittings, head movements i.e., up/down/left/right/forward/backword, with light on/off and with moving flash on/off. The time difference in MS (milliseconds) between R-peaks detected by both the systems are calculated and based on it a cumulative percentage of the R-peaks are calculated.
| First Name | Last Name | Title |
|---|---|---|
| Mobyen Uddin | Ahmed | Professor |
| Shahina | Begum | Professor |
| Hamidur | Rahman | Researcher |
Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination (Jun 2018) Mobyen Uddin Ahmed, Hamidur Rahman, Shahina Begum 15th International Conference on Wearable, Micro & Nano technologies for Personalized Health (pHealth2018)
| Partner | Type |
|---|---|
| TOYOTA MOTOR EUROPE NV/SA | Industrial |
