Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80625
Title: Multiple spectral peak tracking for heart rate monitoring from photoplethysmography signal during intensive physical exercise
Authors: Lakshminarasimha Murthy, Navaneet K.
Madhusudana, Pavan C.
Suresha, Pradyumna
Periyasamy, Vijitha
Ghosh, Prasanta Kumar
Keywords: Adaptive noise cancellation
heart rate monitoring
spectral peak tracking
Issue Date: 2015
Source: Lakshminarasimha Murthy, N. K., Madhusudana, P. C., Suresha, P., Periyasamy, V., & Ghosh, P. K. (2015). Multiple Spectral Peak Tracking for Heart Rate Monitoring from Photoplethysmography Signal During Intensive Physical Exercise. IEEE Signal Processing Letters, 22(12), 2391-2395.
Series/Report no.: IEEE Signal Processing Letters
Abstract: We propose a multiple initialization based spectral peak tracking (MISPT) technique for heart rate monitoring from photoplethysmography (PPG) signal. MISPT is applied on the PPG signal after removing the motion artifact using an adaptive noise cancellation filter. MISPT yields several estimates of the heart rate trajectory from the spectrogram of the denoised PPG signal which are finally combined using a novel measure called trajectory strength. Multiple initializations help in correcting erroneous heart rate trajectories unlike the typical SPT which uses only single initialization. Experiments on the PPG data from 12 subjects recorded during intensive physical exercise show that the MISPT based heart rate monitoring indeed yields a better heart rate estimate compared to the SPT with single initialization. On the 12 datasets MISPT results in an average absolute error of 1.11 BPM which is lower than 1.28 BPM obtained by the state-of-the-art online heart rate monitoring algorithm.
URI: https://hdl.handle.net/10356/80625
http://hdl.handle.net/10220/40610
ISSN: 1070-9908
DOI: 10.1109/LSP.2015.2486681
Schools: School of Chemical and Biomedical Engineering 
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/LSP.2015.2486681].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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