Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeh, Ming Hua | en_US |
dc.contributor.author | Chao, Paul C. -P. | en_US |
dc.contributor.author | Pandey, Rajeev | en_US |
dc.date.accessioned | 2020-02-02T23:55:34Z | - |
dc.date.available | 2020-02-02T23:55:34Z | - |
dc.date.issued | 2019-01-01 | en_US |
dc.identifier.isbn | 978-0-7918-5912-4 | en_US |
dc.identifier.issn | 2576-6090 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/153685 | - |
dc.description.abstract | Blood pressure is a basic physiological quantity and prolonged abnormal blood pressure which will precipitate different kinds of cardiovascular diseases. The early detection of hypertension is extremely important for the prevention and cure of cardiovascular diseases. This study proposes a new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG Sensor (PPG). The algorithm is implemented in the integrated chip with chip area of 3.97mm(2) and fabricated via TSMC T18 process. The experimental result shows that the overall power consumption of the chip is 15.62 mW. Finally, the blood pressure measurement platform has been developed with GUI for long-term continuous cuffless BP measurement. The non-invasive blood pressure sensor is applied to the wrist artery of 44 subjects for sensing the PPG pulsation of the blood vessel. Measurement results shows that the maximum error in the BP measurement is +/- 6 mmHg. Which is less than 8 mmHg, defined by the Advancement of Medical Instrumentation (AAMI) and British Hypertension Society (BHS) standard. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Blood Pressure | en_US |
dc.subject | FIR Filter | en_US |
dc.subject | PPG Sensor | en_US |
dc.subject | Heart Rate | en_US |
dc.subject | SBP | en_US |
dc.subject | DBP | en_US |
dc.title | A NEW ON-CHIP REAL-TIME ALGORITHM FOR NON-INVASIVE CUFFLESS BLOOD PRESSURE ESTIMATION USING PPG SENSOR | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | PROCEEDINGS OF THE ASME 28TH CONFERENCE ON INFORMATION STORAGE AND PROCESSING SYSTEMS, 2019 | en_US |
dc.citation.spage | 0 | en_US |
dc.citation.epage | 0 | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | 電機資訊國際學位學程 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.contributor.department | EECS International Institute | en_US |
dc.identifier.wosnumber | WOS:000507665800029 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |