Findings on Machine Learning Discussed by Investigators at City University of Lo ndon (Evaluating the Effectiveness of Non-invasive Intracranial Pressure Monitor ing Via Near-infrared Photoplethysmography Using Classical Machine Learning Meth ods)

Robotics & Machine Learning Daily News2024，Issue(Oct.7) ：98-99.

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Findings on Machine Learning Discussed by Investigators at City University of Lo ndon (Evaluating the Effectiveness of Non-invasive Intracranial Pressure Monitor ing Via Near-infrared Photoplethysmography Using Classical Machine Learning Meth ods)

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Abstract

Investigators publish new report on Ma chine Learning. According to news reporting out of London, United Kingdom, by Ne wsRx editors, the research stated, "This study investigates the feasibility of u tilising photoplethysmography signals to estimate continuous intracranial pressu re (ICP) values in patients with traumatic brain injury. A clinical dataset was compiled, comprising synchronised data from a non-invasive optical sensor and an invasive gold standard ICP monitor from 27 patients." Financial support for this research came from George Daniels Educational Trust-G eorge Daniels Doctoral Studentship.

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/City University of London

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出版年

2024

Robotics & Machine Learning Daily News

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