Respiratory quality indices for automated monitoring of respiration from sensor data

Respiratory quality indices for automated monitoring of respiration from sensor data

<p>Abnormal respiratory rate (RR) is known to be one of the most clinically effective predictors of catastrophic decline. Despite this, RR is often the least monitored and most inaccurately measured vital sign. This is primarily because of the lack of a non-invasive, robust, automated method f...

書誌詳細
第一著者:	Birrenkott, D
その他の著者:	Clifton, D
フォーマット:	学位論文
言語:	English
出版事項:	2018
主題:	Signal processing Computational health informatics Biomedical engineering

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