TY - GEN
T1 - Using the time-domain characterization for estimation continuous blood pressure via neural network method
AU - Chao, Paul C.-P.
AU - Tu, Tse Yi
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The new method with back-propagation neural network is expected to be capable of continuous measurement of blood pressures with noninvasive, cuffless strain blood pressure sensor. The eight time-domain characterizations estimate systolic blood pressure and diastolic blood pressure via BPNN leading to a satisfactory accuracy of the BP sensor. The BP sensor is used on human wrist to collect the continuously pulse signal for measuring blood pressures. To assist the sensor, a readout circuit is devised with a Wheatstone bridge, amplifier, filter, and a digital signal processor. The results of SBP and DBP are 4.27±4.98 mmHg and 3.86±5.35 mmHg, respectively. The errors of blood pressure pass the criteria for Association for the Advancement of Medical Instrumentation (AAMI) method 2 and the British Hypertension Society (BHS) Grade B.
AB - The new method with back-propagation neural network is expected to be capable of continuous measurement of blood pressures with noninvasive, cuffless strain blood pressure sensor. The eight time-domain characterizations estimate systolic blood pressure and diastolic blood pressure via BPNN leading to a satisfactory accuracy of the BP sensor. The BP sensor is used on human wrist to collect the continuously pulse signal for measuring blood pressures. To assist the sensor, a readout circuit is devised with a Wheatstone bridge, amplifier, filter, and a digital signal processor. The results of SBP and DBP are 4.27±4.98 mmHg and 3.86±5.35 mmHg, respectively. The errors of blood pressure pass the criteria for Association for the Advancement of Medical Instrumentation (AAMI) method 2 and the British Hypertension Society (BHS) Grade B.
UR - http://www.scopus.com/inward/record.url?scp=85034823290&partnerID=8YFLogxK
U2 - 10.1115/ISPS2017-5471
DO - 10.1115/ISPS2017-5471
M3 - Conference contribution
AN - SCOPUS:85034823290
T3 - ASME 2017 Conference on Information Storage and Processing Systems, ISPS 2017
BT - ASME 2017 Conference on Information Storage and Processing Systems, ISPS 2017
PB - American Society of Mechanical Engineers
Y2 - 29 August 2017 through 30 August 2017
ER -