An Adaptive Single Frequency Phase Vocoder For Low-power Heart Rate Detection

An Adaptive Single Frequency Phase Vocoder For Low-power Heart Rate Detection. Karlen, W., Petersen, C., Gow, J., Ansermino, J., M., & Dumont, G., A. In BIODEVICES 2011 - Proceedings of the International Conference on Biomedical Electronics and Devices, Rome, Italy, January 26-29, 2011, pages 30-35, 2011. INSTICC Press.
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Mobile phones can be used as a platform for clinical decision making in resource-poor and remote areas. Their limited battery and computational resources, however, demand efﬁcient and low-power algorithms. We present a new algorithm for the fast and economical estimation of heart rate (HR) from the photoplethysmogram (PPG) recorded with a pulse oximeter connected to a mobile phone. The new method estimates the HR frequency by adaptively modeling the PPG wave with a sine function using a modiﬁed phase vocoder. The obtained wave is also used as an envelope for the detection of peaks in the PPG signal. HR is computed using the vocoder center frequency and using the peak intervals in a histogram. Experiments on a mobile device show comparable speed performance with other time domain algorithms. Preliminary tests show that the HR computed from the vocoder center frequency is robust to noisy PPG. The instantaneous HR calculated with the vocoder peak detection method was more sensitive to short-term HR variations. These results point to further developments using a combination of both HR estimation methods that will enable the robust implementation of adaptive phase vocoders into mobile phone applications.

@inproceedings{
 title = {An Adaptive Single Frequency Phase Vocoder For Low-power Heart Rate Detection},
 type = {inproceedings},
 year = {2011},
 keywords = {embedded systems,heart rate estimation,mobile phones,photoplethysmography.,pulse detection},
 pages = {30-35},
 publisher = {INSTICC Press},
 id = {ad0c951d-2080-38ca-8450-62e6bb12bf64},
 created = {2010-10-08T17:26:14.000Z},
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 profile_id = {6d353feb-efe4-367e-84a2-0815eb9ca878},
 last_modified = {2022-09-04T18:12:12.315Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Karlen2011},
 notes = {Selected paper},
 folder_uuids = {f1f67efc-95a7-4f1a-b181-c3670c667a34,4afa922c-d8d6-102e-ac9a-0024e85ead87,d9198259-8733-497d-ab87-d2a9518e0d30},
 private_publication = {false},
 abstract = {Mobile phones can be used as a platform for clinical decision making in resource-poor and remote areas. Their limited battery and computational resources, however, demand efﬁcient and low-power algorithms. We present a new algorithm for the fast and economical estimation of heart rate (HR) from the photoplethysmogram (PPG) recorded with a pulse oximeter connected to a mobile phone. The new method estimates the HR frequency by adaptively modeling the PPG wave with a sine function using a modiﬁed phase vocoder. The obtained wave is also used as an envelope for the detection of peaks in the PPG signal. HR is computed using the vocoder center frequency and using the peak intervals in a histogram. Experiments on a mobile device show comparable speed performance with other time domain algorithms. Preliminary tests show that the HR computed from the vocoder center frequency is robust to noisy PPG. The instantaneous HR calculated with the vocoder peak detection method was more sensitive to short-term HR variations. These results point to further developments using a combination of both HR estimation methods that will enable the robust implementation of adaptive phase vocoders into mobile phone applications.},
 bibtype = {inproceedings},
 author = {Karlen, Walter and Petersen, Chris and Gow, Jennifer and Ansermino, J. Mark and Dumont, Guy A.},
 booktitle = {BIODEVICES 2011 - Proceedings of the International Conference on Biomedical Electronics and Devices, Rome, Italy, January 26-29, 2011}
}

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