Respiration (PZT)

Affordable piezoelectric sensor with adjustable chest strap designed for basic respiration monitoring in low-motion settings.

The biosignalsplux piezoelectric Respiration (PZT) sensor is an entry-level and affordable solution for basic respiration data acquisition. This sensor consists of a wearable chest-belt with an integrated localized sensing element that measures displacement variations caused by the volume changes of the thorax or abdomen during respiratory cycles (inhaling/exhaling).

The elastic chest-belt can be adjusted in length to be applicable on different anatomies (e.g. male and/or female), body locations (e.g. thorax and/or abdomen), and thorax/abdomen circumferences. Typical applications of this sensor include respiration monitoring to determine respiration cycles, rates, relative amplitudes, and other features.

Features
  • Piezo-electric film technology
  • Adjustable elastic chest strap
  • Displacement measurement
  • Pre-conditioned analog output
  • Raw data output
  • Ready-to-use & miniaturized form-factor
Type Piezoelectric
Gain 1
CMRR ≥ 106 dB
Connector Type UC-E6 (Male)
Range ±1.50 V
Consumption 35 uA
Cable Length 100cm±0.5cm (customizable)

This sensor is not a standalone use sensor and requires the use of a biosignalsplux hub and electrodes in order to acquire any data. It can be included in the following biosignalsplux kits which come with all the needed hardware and accessories for PZT data acquisition:

Respiration Analysis

The Respiration Analysis add-on for the OpenSignals (r)evolution software is the ideal software extension for the biosignalsplux Piezo-Electric Respiration (PZT) and Inductive Respiration (RIP) sensors. It is designed to extract temporal and spectral parameters to provide useful information about the breathing dynamics, such as respiratory rate, amplitude parameters, and basic spectral analysis.

Find Out More


M. Mateu-Mateus, F. Guede-Fernandéz, V. Ferrer-Mileo, M. García-González, J. Ramos-Castro, M. Fernández-Chimeno, Comparison of video-based methods for respiration rhythm measurement, in Biomedical Signal Processing and Control, vol. 51, pp. 138-147, 2019

M. Inazawa, Y. Ban, Development of Easy Attachable Biological Information Measurement Device for Various Head Mounted Displays, in 2019 International Conference on Cyberworlds (CW), Kyoto, Japan, pp. 1-8, 2019

S. Badia, L. Quintero, M. Cameirao, A. Chirico, S. Triberti, P. Cipresso, A. Gaggioli, Towards Emotionally-Adaptive Virtual Reality for Mental Health Applications, in IEEE Journal of Biomedical and Health Informatics, pp. 1-11, 2018

M. Torrado, H. Silva, S. Eusébio, A. Fred, S. Ouakinin, Alexithymia; Physiological Reactivity and Cognitive Appraisals of Emotional Stimuli in Opiate Dependents: A Pilot Study., in Journal of Neurology & Neurophysiology, vol. 6, no. 1, pp. 1-8, 2015

S. Hamdani, A. Fernando, The Application of a Piezo-Resistive Cardiorespiratory Sensor System in an Automobile Safety Belt, in Sensors, vol. 15, pp. 7742-7753, 2015

Looking for more?

Visit the biosignalsplux publications page for a full list of available publications.

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