Med Biol Eng Comput - Automatic identification of activity-rest periods based on actigraphy.

Tópicos

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Resumo

We describe a novel algorithm for identification of activity/rest periods based on actigraphy signals designed to be used for a proper estimation of ambulatory blood pressure monitoring parameters. Automatic and accurate determination of activity/rest periods is critical in cardiovascular risk assessment applications including the evaluation of dipper versus non-dipper status. The algorithm is based on adaptive rank-order filters, rank-order decision logic, and morphological processing. The algorithm was validated on a database of 104 subjects including actigraphy signals for both the dominant and non-dominant hands (i.e., 208 actigraphy recordings). The algorithm achieved a mean performance above 94.0%, with an average number of 0.02 invalid transitions per 48 h.

Resumo Limpo

describ novel algorithm identif activityrest period base actigraphi signal design use proper estim ambulatori blood pressur monitor paramet automat accur determin activityrest period critic cardiovascular risk assess applic includ evalu dipper versus nondipp status algorithm base adapt rankord filter rankord decis logic morpholog process algorithm valid databas subject includ actigraphi signal domin nondomin hand ie actigraphi record algorithm achiev mean perform averag number invalid transit per h

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