TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Asadov, Akhmadbek
A1  - Seepold, Ralf
A1  - Martínez Madrid, Natividad
A1  - Ortega, Juan Antonio
T1  - Non-Invasive Cardiorespiration Monitoring Using Force Resistive Sensor
T2  - Hardware and software supporting physiological measurement (HSPM-2022), Workshop, October 27-28, 2022, Konstanz, Germany
N2  - Sleep analysis using a Polysomnography system is difficult and expensive. That is why we suggest a non-invasive and unobtrusive measurement. Very few people want the cables or devices attached to their bodies during sleep. The proposed approach is to implement a monitoring system, so the subject is not bothered. As a result, the idea is a non-invasive monitoring system based on detecting pressure distribution. This system should be able to measure the pressure differences that occur during a single heartbeat and during breathing through the mattress. The system consists of two blocks signal acquisition and signal processing. This whole technology should be economical to be affordable enough for every user. As a result, preprocessed data is obtained for further detailed analysis using different filters for heartbeat and respiration detection. In the initial stage of filtration, Butterworth filters are used.
KW  - FSR sensors
KW  - Polysomnography (PSG)
KW  - Signal processing
KW  - Butterworth filter
KW  - Heart rate
Y1  - 2022
SN  - 978-3-00-074291-0
SB  - 978-3-00-074291-0
U6  - https://doi.org/10.34645/opus-4001
DO  - https://doi.org/10.34645/opus-4001
SP  - 20
EP  - 22
PB  - Hochschule Reutlingen
CY  - Reutlingen
ER  -