Robust Sensor Fusion of Unobtrusively Measured Heart Rate
Contactless vital sign measurement technologies often have the drawback of severe motion artifacts and periods in which no signal is available. However, using several identical or physically different sensors, redundancy can be used to decrease the error in noncontact heart rate estimation, while in...
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Published in | IEEE journal of biomedical and health informatics Vol. 18; no. 2; pp. 654 - 660 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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United States
IEEE
01.03.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | Contactless vital sign measurement technologies often have the drawback of severe motion artifacts and periods in which no signal is available. However, using several identical or physically different sensors, redundancy can be used to decrease the error in noncontact heart rate estimation, while increasing the time period during which reliable data are available. In this paper, we show for the first time two major results in case of contactless heart rate measurements deduced from a capacitive ECG and optical pulse signals. First, an artifact detection is an essential preprocessing step to allow a reliable fusion. Second, the robust but computationally efficient median already provides good results; however, using a Bayesian approach, and a short time estimation of the variance, best results in terms of difference to reference heart rate and temporal coverage can be achieved. In this paper, six sensor signals were used and coverage increased from 0-90% to 80-94%, while the difference between the estimated heart rate and the gold standard was less than ±2 BPM. |
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AbstractList | Contactless vital sign measurement technologies often have the drawback of severe motion artifacts and periods in which no signal is available. However, using several identical or physically different sensors, redundancy can be used to decrease the error in noncontact heart rate estimation, while increasing the time period during which reliable data are available. In this paper, we show for the first time two major results in case of contactless heart rate measurements deduced from a capacitive ECG and optical pulse signals. First, an artifact detection is an essential preprocessing step to allow a reliable fusion. Second, the robust but computationally efficient median already provides good results; however, using a Bayesian approach, and a short time estimation of the variance, best results in terms of difference to reference heart rate and temporal coverage can be achieved. In this paper, six sensor signals were used and coverage increased from 0-90% to 80-94%, while the difference between the estimated heart rate and the gold standard was less than ±2 BPM. Contactless vital sign measurement technologies often have the drawback of severe motion artifacts and periods in which no signal is available. However, using several identical or physically different sensors, redundancy can be used to decrease the error in noncontact heart rate estimation, while increasing the time period during which reliable data are available. In this paper, we show for the first time two major results in case of contactless heart rate measurements deduced from a capacitive ECG and optical pulse signals. First, an artifact detection is an essential preprocessing step to allow a reliable fusion. Second, the robust but computationally efficient median already provides good results; however, using a Bayesian approach, and a short time estimation of the variance, best results in terms of difference to reference heart rate and temporal coverage can be achieved. In this paper, six sensor signals were used and coverage increased from 0-90% to 80-94%, while the difference between the estimated heart rate and the gold standard was less than [Formula Omitted] BPM. [PUBLICATION ABSTRACT] |
Author | Leonhardt, Steffen Wartzek, Tobias Walter, Marian Bruser, Christoph |
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Cites_doi | 10.1088/0967-3334/29/1/002 10.1109/TBCAS.2008.915633 10.1109/ISCAS.1998.705329 10.1023/A:1007476707284 10.1049/el:20020773 10.1007/s10877-009-9163-2 10.1023/A:1007438224122 10.1007/BF02703729 10.1016/j.bspc.2012.06.001 10.1093/bja/ael113 10.1016/j.chemolab.2004.06.003 10.1152/ajpheart.00482.2003 10.1109/TBME.2011.2163715 10.1177/027836498800700608 |
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Snippet | Contactless vital sign measurement technologies often have the drawback of severe motion artifacts and periods in which no signal is available. However, using... |
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SubjectTerms | Adult Algorithms Bayes Bayes methods Bayes Theorem Bayesian analysis Beds Biomedical measurement capacitive ECG (cECG) Electrocardiography Electrocardiography - instrumentation Electrocardiography - methods Estimation Female fusion Heart Heart rate Heart Rate - physiology Humans Indexes Male Monitoring, Physiologic - instrumentation Monitoring, Physiologic - methods quality index robust Robustness Signal Processing, Computer-Assisted unobtrusive Young Adult |
Title | Robust Sensor Fusion of Unobtrusively Measured Heart Rate |
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