March 6, 2020IEEE Transactions on Circuits & Systems II Express Briefs

VLSI Implementation of Lossless ECG Compression Algorithm for Low Power Devices

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Why the study?

An efficient lossless ECG data compression scheme was needed to save storage space and reduce transmission time in low power devices.

Population

ECG data from the MIT-BIH arrhythmia database

Authors

TTTsung‐Han TsaiNational Central University MHMuhammad Awais HussainNational Central University

Discussion

Member takes

Implication

Facilitates ultra-low-power ECG compression in wearables; leaves open clinical validation and arrhythmia-detection performance.

Structured PICO

Population

MIT-BIH arrhythmia database (ECG data)

Intervention

VLSI implementation of lossless ECG compression algorithm (adaptive linear prediction technique and content-adaptive Golomb Rice code)

Outcome

Lossless bit compression rate, power consumption, and core area

The proposed VLSI implementation of an ECG compression algorithm achieves efficient lossless compression with very low power consumption and small chip area, suitable for low-power devices.

Cite This Study

Tsai et al. (2020) studied this question.

synapsesocial.com/papers/6a832df35b5082326951b764 https://doi.org/10.1109/tcsii.2020.2978554

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VLSI Implementation of Lossless ECG Compression Algorithm for Low Power Devices

Discussion

Member takes

Implication

Structured PICO

Cite This Study

VLSI Implementation of Lossless ECG Compression Algorithm for Low Power Devices

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider