首页|Data on Machine Learning Described by a Researcher at Graduate School of Enginee ring (Identification of Respiratory Pauses during Swallowing by Unconstrained Me asuring Using Millimeter Wave Radar)
Data on Machine Learning Described by a Researcher at Graduate School of Enginee ring (Identification of Respiratory Pauses during Swallowing by Unconstrained Me asuring Using Millimeter Wave Radar)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Osaka, Japan, by NewsRx editors, research stated, "Breathing temporarily pauses during swallow ing, and the occurrence of inspiration before and after these pauses may increas e the likelihood of aspiration, a serious health problem in older adults." Funders for this research include Japan Society For The Promotion of Science. Our news correspondents obtained a quote from the research from Graduate School of Engineering: "Therefore, the automatic detection of these pauses without cons traints is important. We propose methods for measuring respiratory movements dur ing swallowing using millimeter wave radar to detect these pauses. The experimen t involved 20 healthy adult participants. The results showed a correlation of 0. 71 with the measurement data obtained from a band-type sensor used as a referenc e, demonstrating the potential to measure chest movements associated with respir ation using a non-contact method. Additionally, temporary respiratory pauses cau sed by swallowing were confirmed by the measured data. Furthermore, using machin e learning, the presence of respiring alone was detected with an accuracy of 88. 5%, which is higher than that reported in previous studies."
Graduate School of EngineeringOsakaJ apanAsiaCyborgsEmerging TechnologiesMachine Learning
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