Heart Rate Compression and Time Reduction Method for HRV Monitroing in Athletes

Sajad Darabi1, Babak Moatamed1, Wenhao Huang2, Migyeong Gwak3, Casey Metoyer4, Mike Linn4, Majid Sarrafzadeh

  • 1University of California Los Angeles
  • 2Peking University
  • 3University of California, Los Angeles
  • 4UCLA

Details

12:00 - 14:00 | Tue 7 Nov | Auditorium Foyer, E1/E2, Upper Atrium Space | TPO.16

Session: Lunch, Posters and POC Technologies Demonstrations – Session II

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Abstract

Heart rate variability (HRV), a feature extracted from the heart rate signal, is commonly used for monitoring training loads, and fitness status within athletes. Various sensor scan be used to ascertain HRV within athletes; two of which are considered within this investigation, namely PPG and ECG.We present methods for HRV collection and calculation using PPG, reducing HRV collection time requirement by 50%, and compressing signals by an order of 6x for effective field-based data collection.