title: Detecting motion artifact ECG noise during sleeping by means of a tri-axis accelerometer.
abstract: The electrocardiogram (ECG) monitoring has become a helpful tool for detecting a number of heart diseases. High quality ECG is utilized by the physicians for interpretation and identification of physiological and pathological phenomena. ECG recordings, however, are often corrupted by motion artifacts even when patient is sleeping due to his or her positional change. In this paper, we proposed a new method of detecting motion artifact ECG noise during sleeping based on acceleration data. The experimental recordings of ECG and acceleration signal were collected from 8 subjects. The result in this study demonstrated that the proposed approach is effective for detecting corruption of ECG signal.
authors.affiliation: Graduate school of Information Science and Technology, Aichi Prefectural University, Aichi, Japan. y.kishimoto@bme.ist.aichi-pu.ac.jp
authors.forename: Yoshifumi
authors.initials: Y
authors.lastname: Kishimoto
authors.forename: Yasunari
authors.initials: Y
authors.lastname: Kutsuna
authors.forename: Koji
authors.initials: K
authors.lastname: Oguri
mesh_terms: D016477:Artifacts; D004562:Electrocardiography; D006801:Humans; D009038:Motion; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology*