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Proceedings Papers

Implementation of Reduce AI-NN Model for Highly Accurate Blood Pressure Measurement

Jerry Lin, Rajeev Kumar Pandey, Paul C.-P. Chao
Proc. ASME. ISPS2020, ASME 2020 29th Conference on Information Storage and Processing Systems, V001T07A002, June 24–25, 2020
Paper No: ISPS2020-1924
https://doi.org/10.1115/ISPS2020-1924
View Paper titled, Implementation of Reduce AI-NN Model for Highly Accurate Blood Pressure Measurement
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Topics: Accuracy and precision, Artificial neural networks, Blood, Blood pressure measurement, Errors, Medical instrumentation, Pressure, Principal component analysis, Signals, Testing
Proceedings Papers

Using the Time-Domain Characterization for Estimation Continuous Blood Pressure via Neural Network Method

Paul C.-P. Chao, Tse-Yi Tu
Proc. ASME. ISPS2017, ASME 2017 Conference on Information Storage and Processing Systems, V001T02A003, August 29–30, 2017
Paper No: ISPS2017-5471
https://doi.org/10.1115/ISPS2017-5471
View Paper titled, Using the Time-Domain Characterization for Estimation Continuous Blood Pressure via Neural Network Method
Open the PDF for Using the Time-Domain Characterization for Estimation Continuous Blood Pressure via Neural Network Method in another window
Topics: Artificial neural networks, Blood, Pressure, Sensors, Blood pressure measurement, Signals, Bridges (Structures), Circuits, Errors, Filters