IEEE J Biomed Health Inform - Adaptive Heartbeat Modelling for Beat-to-beat Heart Rate Measurement in Ballistocardiograms.

Tópicos

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Resumo

We present a method for measuring beat-to-beat heart rate from ballistocardiograms acquired with force sensors. First, a model for the heartbeat shape is adaptively inferred from the signal using hierarchical clustering. Then, beat-to-beat intervals are detected by finding positions where the heartbeat shape best fits the signal. The method was validated with overnight recordings from 46 subjects in varying setups (sleep clinic, home, single bed, double bed, two sensor types). The mean beat-to-beat interval error was 13 ms and on average 54% of the beat-to-beat intervals were detected. The method is part of a home-use e-health system for unobtrusive sleep measurement.

Resumo Limpo

present method measur beattobeat heart rate ballistocardiogram acquir forc sensor first model heartbeat shape adapt infer signal use hierarch cluster beattobeat interv detect find posit heartbeat shape best fit signal method valid overnight record subject vari setup sleep clinic home singl bed doubl bed two sensor type mean beattobeat interv error ms averag beattobeat interv detect method part homeus ehealth system unobtrus sleep measur

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