Measurement heart rate based on plastic optical fiber sensor
Open Access
- 1 March 2019
- conference paper
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1170 (1) , 012074
Abstract
In this research, we measured heart rate by using sensors based on plastic optical fiber. These sensors are made from fiber optic material with three configurations, i.e., straight, sinusoidal, and spiral. Each sensor configuration was tested and paired in three positions of the human body, i.e., hand, chest, and neck. Each configuration and pairing position were tested for fast, normal, and slow heart rate condition. The light from the LED will propagate along the optical fiber sensor. If the sensor detects the heart rates, the intensity of light in optical fiber will be disrupted and causing loss of power so the light intensity will be smaller, it can be detected by the phototransistor and then converted into an electric voltage. The best measurement obtained in spiral configuration mounted on the neck in a slow heart rate condition with a sensitivity value 0.00231 V.s−1 and a resolution 0.43203 s. This sensor has the advantage of easy fabrication, low cost, real-time measurement, high sensitivity, easy to operate and can be monitored via computer.Keywords
This publication has 6 references indexed in Scilit:
- Fabrication and Characterization of Polymer Optical Fibers Doped with Perylene-Derivatives for Fluorescent Lighting ApplicationsFibers, 2017
- A Non-Invasive Multichannel Hybrid Fiber-Optic Sensor System for Vital Sign MonitoringSensors, 2017
- Fiber-optic sensors for monitoring patient physiological parameters: a review of applicable technologies and relevance to use during magnetic resonance imaging proceduresJournal of Biomedical Optics, 2015
- Electrically Insulated Sensing of Respiratory Rate and Heartbeat Using Optical FibersSensors, 2014
- Textile Fiber Optic Microbend Sensor Used for Heartbeat and Respiration MonitoringIEEE Sensors Journal, 2014
- Intensity‐modulated fiber optic sensor for health monitoring applications: a comparative reviewSensor Review, 2013