Robotics & Machine Learning Daily News2024,Issue(Jul.8) :70-70.

California Institute of Technology Reports Findings in Machine Learning (A new m ethodology for determining the central pressure waveform from peripheral measure ment using Fourier-based machine learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :70-70.

California Institute of Technology Reports Findings in Machine Learning (A new m ethodology for determining the central pressure waveform from peripheral measure ment using Fourier-based machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Pasadena, Ca lifornia, by NewsRx correspondents, research stated, “Radialapplanation tonomet ry is a well-established technique for hemodynamic monitoring and is becoming popular in affordable non-invasive wearable healthcare electronics. To assess the central aortic pressure usingradial-based measurements, there is an essential n eed to develop mathematical approaches to estimatethe central pressure waveform .”

Key words

Pasadena/California/United States/Nor th and Central America/Blood Pressure/Cyborgs/Emerging Technologies/Health a nd Medicine/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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