@inproceedings{74b59633fc9b445fa49eb822d1c21f40,
title = "Live demonstration: A ring-type blood pressure monitoring system based on photoplesthygraphy",
abstract = "A ring-type blood pressure (BP) monitoring system based on photoplethysmograph (PPG) will be presented. In the system, the PPG signal on the finger is acquired in real time through a highly sensitive low-power readout module and transmitted to smartphone via Bluetooth Low Energy (BLE) module. An app on the smart phone will process the signal and predict the blood pressure value. The morphological method and adaptive filter is implemented in the app to improve the signal quality. By using the extracted features from PPG signal, the BP can be predicted based on the sparse Least Square Support Vector Machine (LSSVM) model. The users can observe the real-time BP and HR on the mobile phone. The measured mean absolute error (MAE) from an experiment involving 20 subjects is 7.1 mmHg for systolic blood pressure (SBP) and 6.5 mmHg for diastolic blood pressure (DBP).",
keywords = "LSSVM, blood pressure, low power, morphological filter, photoplethysmograph",
author = "Min Wang and Mohamed Atef and Qingsong Xie and Yong Lian and Guoxing Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 ; Conference date: 19-10-2017 Through 21-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/BIOCAS.2017.8325091",
language = "English",
series = "2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1",
booktitle = "2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings",
}