title: [Adaptive removal of motion artifact from ECG based on impedance detection].
abstract: Motion artifact is a significant source of noise in ambulatory physiologic signals and can affect the diagnoses seriously. To cope with this problem, we adopted certain methods for removing motion artifact from ECG signals via synchronous acquisition of the elector/skin impedance as the reference signal of adaptive filter. The results demonstrated that 3rd order RLS adaptive filter can remove the baseline shift effectively with an exciting current of 120 Hz and 50 microA. Such system was implemented to investigate the utility of ambulatory heart rate monitoring, which provides convenient and reliable monitoring services for patients.
authors.affiliation: Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
authors.forename: Shaojie
authors.initials: S
authors.lastname: Lin
authors.forename: Lijuan
authors.initials: L
authors.lastname: Lai
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D016477:Artifacts; D017097:Electric Impedance; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted