首页|Patent Application Titled 'Contextualization Of Subject Physiological Signal Usi ng Machine Learning' Published Online (USPTO 20240374167)
Patent Application Titled 'Contextualization Of Subject Physiological Signal Usi ng Machine Learning' Published Online (USPTO 20240374167)
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NETL
NSTL
Reporters obtained the following quote from the background information supplied by the inventors:“There is a need in the medical community to determine neonata l motion and/or activity for a numberof reasons including to monitor relative n eonatal activity over time which may correlate with diseasestate and/or over or under sedation and to help mitigate the effect of motion on physiological signa lsand their derived parameters (e.g. respiratory rate from the Transthoracic Im pedance (TTI) signal).A range of depth sensing technologies are available to de termine various physiological and contextualparameters, including respiration r ate, tidal volume, minute volume, effort to breathe, activity, presence inbed, etc., that may be useful in detecting neonatal motion and/or activity. Specifica lly, video (RGB) anddepth-sensing cameras have enormous potential to provide no n-contact methods for the determination ofphysiological parameters.”
NETL
NSTL
