Abstract
Seismocardiogram (SCG) is a cardio-mechanical signal generated by the heart activities. The waveform is obtained by placing an accelerometer on the chest. This work proposes a low complex algorithm to identify the systolic and diastolic regions of the SCG in real time without referencing to the ECG as in the traditional methods. The technique uses the slope, an interpolation threshold, and systolic interval constraint to identify the regions. The method has an average detection error rate of 2.3% for systolic and 7.3% for diastolic on the eight testing subjects. The average processing time is 83.5 ms for one-minute of data which can be implemented in real-time wearable devices.
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Luu, L., Dinh, A. (2020). Detection of Systole and Diastole Points on Seismocardiogram Using Interpolation Method. In: Van Toi , V., Le, T., Ngo, H., Nguyen, TH. (eds) 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7). BME 2018. IFMBE Proceedings, vol 69. Springer, Singapore. https://doi.org/10.1007/978-981-13-5859-3_13
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DOI: https://doi.org/10.1007/978-981-13-5859-3_13
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