Why the study?
Long-term patch electrocardiogram monitors are used for daily continuous cardiac assessment, but there is a need to minimize their circuit footprint size and power consumption.
A novel ECG encoding scheme for patch monitors achieves lossless data compression with a 2.1 ratio and >98% heartbeat detection accuracy, potentially minimizing circuit footprint and power consumption.
Answers are grounded in this paper and cite their sources.
May support lower-power patch ECG monitors; leaves open clinical validation of the encoding scheme.
Cardiovascular diseases are the leading cause of death worldwide. Due to advancements facilitating the integration of electric and adhesive technologies, long-term patch electrocardiogram (ECG) monitors (PEMs) are currently used to conduct daily continuous cardiac function assessments. This paper presents an ECG encoding scheme for joint lossless data compression and heartbeat detection to minimize the circuit footprint size and power consumption of a PEM. The proposed encoding scheme supports two operation modes: fixed-block mode and dynamic-block mode. Both modes compress ECG data losslessly, but only dynamic-block mode supports the heartbeat detection feature. The whole encoding scheme was implemented on a C-platform and tested with ECG data from MIT/BIH arrhythmia databases. A compression ratio of 2.1 could be achieved with a normal heartbeat. Dynamic-block mode provides heartbeat detection accuracy at a rate higher than 98%. Fixed-block mode was also implemented on the field-programmable gate array, and could be used as a chip for using analog-to-digital convertor-ready signals as an operation clock.
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Fang et al. (2018) studied this question.
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