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Estimating heart rate and RSA from the mattress-recorded kinetocardiogram

Authors

  • Steven H. Woodward,

    1. National Center for PTSD, Clinical Laboratory and Education Division, VA Palo Alto HCS, Menlo Park Division, Menlo Park, California, USA
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  • Ned J. Arsenault,

    1. National Center for PTSD, Clinical Laboratory and Education Division, VA Palo Alto HCS, Menlo Park Division, Menlo Park, California, USA
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  • Karin Voelker,

    1. Department of Psychiatry and Biobehavioral Sciences, Stanford University, Stanford, California, USA
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  • Tram Nguyen,

    1. Department of Psychiatry and Biobehavioral Sciences, Stanford University, Stanford, California, USA
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  • Janel Lynch,

    1. Department of Psychiatry and Biobehavioral Sciences, Stanford University, Stanford, California, USA
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  • Greg Leskin,

    1. National Center for PTSD, Clinical Laboratory and Education Division, VA Palo Alto HCS, Menlo Park Division, Menlo Park, California, USA
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  • Javaid Sheikh

    1. National Center for PTSD, Clinical Laboratory and Education Division, VA Palo Alto HCS, Menlo Park Division, Menlo Park, California, USA
    2. Department of Psychiatry and Biobehavioral Sciences, Stanford University, Stanford, California, USA
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  • This research was funded in part by grant number MH64724 to J. Sheikh, M.D., from the National Institute of Mental Health. The authors also thank European Sleep Works, Berkeley, California, who donated expertise and materials related to the mattress toppers. Lastly, we are grateful for the administrative support provided by the Sponsored Projects Office, Stanford University.

Address reprint requests to: Steven H. Woodward, Ph.D., National Center for PTSD, Clinical Laboratory and Education Division, Mail Code 334 PTSD, VA Palo Alto HCS, 795 Willow Rd., Menlo Park, CA 94025, USA. E-mail: steve.woodward@va.gov

Abstract

This article describes a method for extracting heart rate (HR) and respiratory sinus arrhythmia (RSA) from the kinetocardiogram (KCG) recorded from accelerometers embedded in a mattress topper. Validation has been performed via comparison with simultaneously recorded ECG. All-night estimates of HR and RSA magnitude derived from both methods were highly correlated. KCG-derived estimates of HR were slightly lower, and those of RSA magnitude higher, than those derived from ECG. These biases are consistent with the need to constrain KCG estimation to periods free of body movement. Mattress actigraphy represents a zero-burden method of obtaining intensive longitudinal indices of cardiac status.

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