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

fYear

2015

fDate

17-19 April 2015

Firstpage

1

Lastpage

2

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast

Conference_Location

Troy, NY

Print_ISBN

978-1-4799-8358-2

Type

conf

DOI

10.1109/NEBEC.2015.7117222

Filename

7117222