Title :
Heart rate monitoring during physical exercise
Author :
D´Onofrio, Anthony ; Chipouras, Christian ; Sexton, Kyle ; Chabot, Eugene ; Ying Sun
Author_Institution :
Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island Kingston, Kingston, RI, USA
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.
Keywords :
biomechanics; blood vessels; body sensor networks; intelligent sensors; medical signal processing; patient monitoring; photoplethysmography; signal denoising; embedded processor; heart rate detection; heart rate monitoring; motion artifacts; nonlinear signal processing algorithm; photoplethysmographic sensors; physical exercise; radial arteries; reflective sensors; signal-to-noise ratio; ulnar arteries; wrist; Arteries; Fingers; Heart rate; Light emitting diodes; Monitoring; Sensors; Wrist;
Conference_Titel :
Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
Conference_Location :
Troy, NY
Print_ISBN :
978-1-4799-8358-2
DOI :
10.1109/NEBEC.2015.7117222
