
Sternal seismocardiogram (SCG) is the assessment of microvibrations produced by the beating heart as detected by an accelerometer positioned on the sternum. This signal reflects mechanical events of the heart contraction, including the opening and closure of mitral and aortic valves and maximal blood flow acceleration. Traditionally, SCG has been detected in a laboratory setting with the subject lying at rest in supine position. Aims of this study were 1) to investigate the feasibility of a SCG monitoring over the 24 hours in ambulant subjects, and 2) to calculate number and time distribution of the SCG estimates obtainable over the 24 hours. In 5 healthy subjects ECG, respiration, body accelerations and sternal SCG were recorded for 24 hours in a workday by a smart garment recently developed in our laboratory, the MagIC-SCG system. Each recording was split into a series of contiguous 5-s data segments and SCG was estimated in each segment where the magnitude of the acceleration vector was < 4 milli-g (this condition indicates that the subject was not moving).All the 24-h recordings were found of good quality and could be entirely analyzed. A large number of SCG estimates could be obtained over the 24 hours. In particular, more than 100 estimates per hour were available during the day; at night this rate was three times higher.Thus our study indicates that not only the 24h SCG monitoring in daily life is feasible but also that possible changes over time in SCG and its derived parameters may be tracked with an extreme temporal detail.
Acceleration, Reproducibility of Results, Signal Processing, Computer-Assisted, Equipment Design, Myocardial Contraction, Sensitivity and Specificity, Vibration, Ballistocardiography, Equipment Failure Analysis, Systems Integration, Heart Rate, Electrocardiography, Ambulatory, Humans, Wireless Technology
Acceleration, Reproducibility of Results, Signal Processing, Computer-Assisted, Equipment Design, Myocardial Contraction, Sensitivity and Specificity, Vibration, Ballistocardiography, Equipment Failure Analysis, Systems Integration, Heart Rate, Electrocardiography, Ambulatory, Humans, Wireless Technology
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