title: Monitoring respiration and cardiac activity using fiber Bragg grating-based sensor.
abstract: This paper shows the design of a fiber-based sensor for living activities in human body and the results of a laboratory evaluation carried out on it. The authors have developed a device that allows for monitoring the vibrations of human body evoked by living activities--breathing and cardiac rhythm. The device consists of a Bragg grating inscribed into a single mode optical fiber and operating on a wavelength of around 1550 nm. The fiber Bragg grating (FBG) is mounted inside a pneumatic cushion to be placed between the backrest of the seat and the back of the monitored person. Deformations of the cushion, involving deformations of the FBG, are proportional to the vibrations of the body leaning on the cushion. Laboratory studies have shown that the sensor allows for obtaining dynamic strains on the sensing FBG in the range of 50-124 μ strain caused by breathing and approximately 8.3 μstrain induced by heartbeat, which are fully measurable by today's FBG interrogation systems. The maximum relative measurement error of the presented sensor is 12%. The sensor's simple design enables it to be easily implemented in pilot's and driver's seats for monitoring the physiological condition of pilots and drivers.
authors.affiliation: Military Institute of Aviation Medicine, Warsaw 01-755, Poland. ldziuda@wiml.waw.pl
authors.forename: Lukasz
authors.initials: L
authors.lastname: Dziuda
authors.forename: Franciszek Wojciech
authors.initials: FW
authors.lastname: Skibniewski
authors.forename: Mariusz
authors.initials: M
authors.lastname: Krej
authors.forename: Jaroslaw
authors.initials: J
authors.lastname: Lewandowski
mesh_terms: D000328:Adult; D016477:Artifacts; D004867:Equipment Design; D005260:Female; D006801:Humans; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D009200:Myocardial Contraction / Q000502:physiology*; D009790:Occupations; D055100:Optical Fibers; D056152:Respiratory Rate / Q000502:physiology*; D057185:Sedentary Behavior; D012815:Signal Processing, Computer-Assisted