A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor

Ming Hua Yeh; Paul C.-P. Chao; Rajeev Pandey

doi:10.1115/ISPS2019-7475

A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor

Ming Hua Yeh
, Paul C.-P. Chao
, Rajeev Pandey

Institute of Electrical and Control Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 3.97mm2 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.

Original language	English
Title of host publication	ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791859124
DOIs	https://doi.org/10.1115/ISPS2019-7475
State	Published - 27 Jun 2019
Event	ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019 - San Diego, United States Duration: 27 Jun 2019 → 28 Jun 2019

Publication series

Name	ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019

Conference

Conference	ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019
Country/Territory	United States
City	San Diego
Period	27/06/19 → 28/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Blood Pressure
DBP
FIR Filter
Heart Rate
PPG Sensor
SBP

Access to Document

10.1115/ISPS2019-7475

Cite this

Yeh, M. H., Chao, P. C.-P., & Pandey, R. (2019). A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor. In ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019 (ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/ISPS2019-7475

Yeh, Ming Hua ; Chao, Paul C.-P. ; Pandey, Rajeev. / A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor. ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019. American Society of Mechanical Engineers (ASME), 2019. (ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019).

@inproceedings{1184f9a1fadb4b31908f4be0b4509417,

title = "A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor",

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 3.97mm2 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.",

keywords = "Blood Pressure, DBP, FIR Filter, Heart Rate, PPG Sensor, SBP",

author = "Yeh, \{Ming Hua\} and Chao, \{Paul C.-P.\} and Rajeev Pandey",

year = "2019",

month = jun,

day = "27",

doi = "10.1115/ISPS2019-7475",

language = "English",

series = "ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019",

address = "美國",

note = "ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019 ; Conference date: 27-06-2019 Through 28-06-2019",

}

Yeh, MH, Chao, PC-P & Pandey, R 2019, A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor. in ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019. ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019, American Society of Mechanical Engineers (ASME), ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019, San Diego, United States, 27/06/19. https://doi.org/10.1115/ISPS2019-7475

A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor. / Yeh, Ming Hua; Chao, Paul C.-P.; Pandey, Rajeev.
ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019. American Society of Mechanical Engineers (ASME), 2019. (ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor

AU - Yeh, Ming Hua

AU - Chao, Paul C.-P.

AU - Pandey, Rajeev

PY - 2019/6/27

Y1 - 2019/6/27

N2 - 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 3.97mm2 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.

AB - 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 3.97mm2 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.

KW - Blood Pressure

KW - DBP

KW - FIR Filter

KW - Heart Rate

KW - PPG Sensor

KW - SBP

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DO - 10.1115/ISPS2019-7475

M3 - Conference contribution

T3 - ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019

BT - ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019

Y2 - 27 June 2019 through 28 June 2019

ER -

Yeh MH, Chao PCP, Pandey R. A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor. In ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019. American Society of Mechanical Engineers (ASME). 2019. (ASME 2019 28th Conference on Information Storage and Processing Systems, ISPS 2019). doi: 10.1115/ISPS2019-7475

A new on-chip real-time algorithm for non-invasive cuffless blood pressure estimation using PPG sensor

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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