J Med Syst - A novel handheld device for use in remote patient monitoring of heart failure patients--design and preliminary validation on healthy subjects.


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Remote patient monitoring (RPM) holds great promise for reducing the burden of congestive heart failure (CHF). Improved sensor technology and effective predictive algorithms can anticipate sudden decompensation events. Enhanced telemonitoring systems would promote patient independence and facilitate communication between patients and their physicians. We report the development of a novel hand-held device, called Blue Box, capable of collecting and wirelessly transmitting key cardiac parameters derived from three integrated biosensors: 2 lead electrocardiogram (ECG), photoplethysmography and bioelectrical impedance (bioimpedance). Blue Box measurements include time intervals between consecutive ECG R-waves (RR interval), time duration of the ECG complex formed by the Q, R and S waves (QRS duration), bioimpedance, heart rate and systolic time intervals. In this study, we recruited 24 healthy subjects to collect several parameters measured by Blue Box and assess their value in correlating with cardiac output measured with Echo-Doppler. Linear correlation between the heart rate measured with Blue Box and cardiac output from Echo-Doppler had a group average correlation coefficient of 0.80. We found that systolic time intervals did not improve the model significantly. However, STIs did inversely correlate with increasing workloads.

Resumo Limpo

remot patient monitor rpm hold great promis reduc burden congest heart failur chf improv sensor technolog effect predict algorithm can anticip sudden decompens event enhanc telemonitor system promot patient independ facilit communic patient physician report develop novel handheld devic call blue box capabl collect wireless transmit key cardiac paramet deriv three integr biosensor lead electrocardiogram ecg photoplethysmographi bioelectr imped bioimped blue box measur includ time interv consecut ecg rwave rr interv time durat ecg complex form q r s wave qrs durat bioimped heart rate systol time interv studi recruit healthi subject collect sever paramet measur blue box assess valu correl cardiac output measur echodoppl linear correl heart rate measur blue box cardiac output echodoppl group averag correl coeffici found systol time interv improv model signific howev stis invers correl increas workload

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