2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2016
DOI: 10.1109/iecbes.2016.7843529
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Estimation of heart rate during sleep measured from a gyroscope embedded in a CPAP mask

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Cited by 9 publications
(10 citation statements)
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“…The method for identifying heartbeats in a gyroscope signal mounted on a PAP therapy mask has been described previously and is summarized in Figure 3 [ 27 ]. Briefly, a normalized gyroscope signal ( g n ) was derived using the x, y, and z gyroscope signals (g x , g y , g z ) such that:…”
Section: Methodsmentioning
confidence: 99%
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“…The method for identifying heartbeats in a gyroscope signal mounted on a PAP therapy mask has been described previously and is summarized in Figure 3 [ 27 ]. Briefly, a normalized gyroscope signal ( g n ) was derived using the x, y, and z gyroscope signals (g x , g y , g z ) such that:…”
Section: Methodsmentioning
confidence: 99%
“…All signals were resampled to 500 Hz, similar to the study by Hernandez et al [ 26 ]. The signals g x , g y , g z and g n were then transformed to maximize the SNR using the methods previously described [ 27 ]. A movement threshold was also created, such that when the signal magnitude exceeded this threshold, heartbeat detection was paused, as movement artifacts significantly reduced the accuracy of the heartbeat detection algorithm [ 16 ].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The method for identifying heartbeats in a gyroscope signal mounted on a PAP therapy mask has been described previously and is summarized in Figure 3 [27]. Briefly, a normalized gyroscope signal (g n ) was derived using the x, y, and z gyroscope signals (g x , g y , g z ) such that: All signals were resampled to 500 Hz, similar to the study by Hernandez et al [26].…”
Section: Heartbeat Detection Algorithmmentioning
confidence: 99%
“…Briefly, a normalized gyroscope signal (g n ) was derived using the x, y, and z gyroscope signals (g x , g y , g z ) such that: All signals were resampled to 500 Hz, similar to the study by Hernandez et al [26]. The signals g x , g y , g z and g n were then transformed to maximize the SNR using the methods previously described [27]. A movement threshold was also created, such that when the signal magnitude exceeded this threshold, heartbeat detection was paused, as movement artifacts significantly reduced the accuracy of the heartbeat detection algorithm [16].…”
Section: Heartbeat Detection Algorithmmentioning
confidence: 99%