title: Development of a respiratory inductive plethysmography module supporting multiple sensors for wearable systems.
abstract: In this paper, we present an RIP module with the features of supporting multiple inductive sensors, no variable frequency LC oscillator, low power consumption, and automatic gain adjustment for each channel. Based on the method of inductance measurement without using a variable frequency LC oscillator, we further integrate pulse amplitude modulation and time division multiplexing scheme into a module to support multiple RIP sensors. All inductive sensors are excited by a high-frequency electric current periodically and momentarily, and the inductance of each sensor is measured during the time when the electric current is fed to it. To improve the amplitude response of the RIP sensors, we optimize the sensing unit with a matching capacitor parallel with each RIP sensor forming a frequency selection filter. Performance tests on the linearity of the output with cross-sectional area and the accuracy of respiratory volume estimation demonstrate good linearity and accurate lung volume estimation. Power consumption of this new RIP module with two sensors is very low. The performance of respiration measurement during movement is also evaluated. This RIP module is especially desirable for wearable systems with multiple RIP sensors for long-term respiration monitoring.
authors.affiliation: Department of Biomedical Engineering, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China. zhengbo_zhang@hotmail.com
authors.forename: Zhengbo
authors.initials: Z
authors.lastname: Zhang
authors.forename: Jiewen
authors.initials: J
authors.lastname: Zheng
authors.forename: Hao
authors.initials: H
authors.lastname: Wu
authors.forename: Weidong
authors.initials: W
authors.lastname: Wang
authors.forename: Buqing
authors.initials: B
authors.lastname: Wang
authors.forename: Hongyun
authors.initials: H
authors.lastname: Liu
mesh_terms: D056044:Actigraphy / Q000295:instrumentation; D015374:Biosensing Techniques / Q000295:instrumentation*; D004867:Equipment Design; D006801:Humans; D063731:Mobile Applications; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D010991:Plethysmography / Q000295:instrumentation; D012119:Respiration; D012129:Respiratory Function Tests / Q000295:instrumentation; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation