March 11, 2014IEEE Journal of Biomedical and Health Informatics

Low-Power Wireless ECG Acquisition and Classification System for Body Sensor Networks

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Authors

SLShuenn-Yuh LeeNational Cheng Kung University JHJia-Hua HongNational Cheng Kung University CHCheng‐Han HsiehLeibniz Institute of Vegetable and Ornamental Crops

Discussion

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Implication

May support low-power wearable ECG monitoring; extends technical validation but leaves open prospective clinical trials.

Structured PICO

Intervention

Low-power wireless ECG acquisition and classification system (consisting of a biosignal processor, transceiver, and digital signal processor)

Outcome

Accuracy of beat detection and ECG classification, and power consumption

A proposed low-power wireless ECG acquisition and classification system achieves high accuracy for beat detection and ECG classification with minimal power consumption.

Cite This Study

Lee et al. (2014) studied this question.

synapsesocial.com/papers/6a76bc14d8eb58afc2bd5e86 https://doi.org/10.1109/jbhi.2014.2310354

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Low-Power Wireless ECG Acquisition and Classification System for Body Sensor Networks

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Low-Power Wireless ECG Acquisition and Classification System for Body Sensor Networks

Discussion

Member takes

Implication

Structured PICO

Cite This Study

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