TY - GEN
T1 - A Low-cost, Smartphone-only Pulse Transit Time Measurement System Using Cardio-mechanical Signals and Optical Sensors∗
AU - Yang, Chenxi
AU - Dong, Yudi
AU - Chen, Yingying
AU - Tavassolian, Negar
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - This paper presents a smartphone-only solution for measuring pulse transit time (PTT). An application based on an Android smartphone is developed to collect seismocardiogram (SCG), gyrocardiogram (GCG), and photoplethysmography (PPG) recordings. The system does not need any other external system for measurements, so the total cost and system complexity are minimized. PTT metrics are calculated as the time difference between the aortic valve opening points in the SCG or GCG signals recorded by the accelerometer or gyroscope of a smartphone respectively, and the fiducial points in the PPG signal recorded by a modified optical sensor connected to the audio input. A digital signal processing (DSP) system is developed in a post-processing environment and experimentally validated on ten healthy subjects at rest. Our results indicate that a smartphone-only PTT measurement system is feasible and comparable with stand-alone sensor node systems.
AB - This paper presents a smartphone-only solution for measuring pulse transit time (PTT). An application based on an Android smartphone is developed to collect seismocardiogram (SCG), gyrocardiogram (GCG), and photoplethysmography (PPG) recordings. The system does not need any other external system for measurements, so the total cost and system complexity are minimized. PTT metrics are calculated as the time difference between the aortic valve opening points in the SCG or GCG signals recorded by the accelerometer or gyroscope of a smartphone respectively, and the fiducial points in the PPG signal recorded by a modified optical sensor connected to the audio input. A digital signal processing (DSP) system is developed in a post-processing environment and experimentally validated on ten healthy subjects at rest. Our results indicate that a smartphone-only PTT measurement system is feasible and comparable with stand-alone sensor node systems.
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U2 - 10.1109/EMBC.2018.8513270
DO - 10.1109/EMBC.2018.8513270
M3 - Conference contribution
C2 - 30440311
AN - SCOPUS:85056667396
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 1
EP - 4
BT - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Y2 - 18 July 2018 through 21 July 2018
ER -