Heart rate monitoring during physical exercise

Document Type

Conference Proceeding

Date of Original Version

1-1-2015

Abstract

To improve the signal-to-noise ratio for heart rate monitoring during exercise, a multitude of photoplethysmographic sensors were employed. To eliminate motion artifacts due to physical exercise a nonlinear signal processing algorithm was implemented in an embedded processor. Preliminary results demonstrated accurate heart rate detection through two pairs of reflective sensors on the radial and ulnar arteries at the wrist. Photoplethysmography is a common technique for monitoring heart rates.

Publication Title, e.g., Journal

2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

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