title: Wearable data acquisition system of multimodal physiological signals for personal health care.
abstract: The paper proposes a wearable multimodal data acquisition system for biological signals. The system enables logging of electrical bioimpedance signals from multiple electrodes, electrocardiographic signals (ECG), acceleration signals from multiple locations, and spirometric data from a moving object. Later it will be used to conduct field measurements for characterizing health of the object under investigation. Main goal is to acquire enough data for development, refinement, and simplification of signal processing algorithms. The system is center part of the new wearable compact data acquisition modules ZCardio. Those modules enable multichannel impedance spectroscopy by logging ECG signals and data from the spirometric sensor. Initial reference measurements were conducted. Alternatively, tests were performed using Plessey Semiconductors capacitive sensors. Acceleration signals are gathered.
authors.affiliation: Th. J. Seebeck Dept. of Electronics, Tallinn University of Technology, 19086 Estonia.
authors.forename: Paul
authors.initials: P
authors.lastname: Annus
authors.forename: Ali
authors.initials: A
authors.lastname: Samieipour
authors.forename: Marek
authors.initials: M
authors.lastname: Rist
authors.forename: Indrek
authors.initials: I
authors.lastname: Ruiso
authors.forename: Andrei
authors.initials: A
authors.lastname: Krivoshei
authors.forename: Raul
authors.initials: R
authors.lastname: Land
authors.forename: Toomas
authors.initials: T
authors.lastname: Parve
authors.forename: Mart
authors.initials: M
authors.lastname: Min
mesh_terms: D061725:Accelerometry / Q000295:instrumentation*; D056044:Actigraphy / Q000295:instrumentation*; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D004562:Electrocardiography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D057285:Precision Medicine / Q000295:instrumentation* / Q000379:methods; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013147:Spirometry / Q000295:instrumentation*