Toward Wearable Estimation of Tidal Volume via Electrocardiogram and Seismocardiogram Signals

The current coronavirus disease (COVID-19) pandemic highlights the critical importance of ubiquitous respiratory health monitoring. The two fundamental elements of monitoring respiration are respiration rate (the frequency of breathing) and tidal volume [(TV) the volume of air breathed by the lungs...

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Veröffentlicht in:	IEEE sensors journal 2022-09, Vol.22 (18), p.18093-18103
Hauptverfasser:	Soliman, Moamen M., Ganti, Venu G., Inan, Omer T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Amplitude modulation Band-pass filters Biomedical monitoring Continuous respiratory monitoring Coronaviruses Correlation coefficients Demodulation electrocardiogram (ECG) Electrocardiography Estimation Feature extraction Machine learning Monitoring Rebreathing Respiration Root-mean-square errors seismocardiogram (SCG) Sensors Telemedicine tidal volume (TV) estimation Viral diseases wearable sensing Wearable technology
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