Tracking Tidal Volume From Holter and Wearable Armband Electrocardiogram Monitoring

• Published in: IEEE journal of biomedical and health informatics Vol. 28; no. 6; pp. 3457 - 3465
• Main Authors: Lazaro, Jesus, Reljin, Natasa, Bailon, Raquel, Gil, Eduardo, Noh, Yeonsik, Laguna, Pablo, Chon, Ki H.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Amplitudes; Apnea; Biomedical monitoring; Calibration; Customization; ECG-derived respiration; ECG-derived tidal volume; EKG; electrocardiogram (ECG); Electrocardiography; Electrocardiography - instrumentation; Electrocardiography - methods; Electrocardiography, Ambulatory - instrumentation; Electrocardiography, Ambulatory - methods; Estimation; Female; Heart rate; Humans; Male; Middle Aged; Monitoring; Principal component analysis; Quartiles; Respiratory diseases; Signal Processing, Computer-Assisted; Sleep disorders; Tidal Volume - physiology; Tracking; Wearable devices; Wearable Electronic Devices; Wearable technology; Young Adult

A novel method for tracking the tidal volume (TV) from electrocardiogram (ECG) is presented. The method is based on the amplitude of ECG-derived respiration (EDR) signals. Three different morphology-based EDR signals and three different amplitude estimation methods have been studied, leading to a to...