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January 1, 2014International Journal of Electronics and Electrical Engineering

Design and Implementation of Digital Filters for Mobile Healthcare Applications

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Population

Ambulatory ECG signals transmitted wirelessly from a wearable patch-style heart activity monitoring system

Design

Other

Key result

Implementation of digital filters (FIR and IIR) on an Android smartphone efficiently reduced artifacts in wirelessly transmitted ambulatory ECG signals caused by base-line wandering and power-line instability.

Authors

JKJeong-Hwan KimSPSang-Eun ParkJLJeong‐Whan Lee

Discussion

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Overview

May enable smartphone-based ECG denoising in telecardiology; leaves open prospective clinical validation.

Structured PICO

P
Population
Ambulatory ECG signals transmitted wirelessly from a wearable patch-style heart activity monitoring system
I
Intervention
Digital filtering algorithms (FIR and IIR) implemented via a Java-based GUI on an Android OS smartphone
O
Outcome
Reduction of artifacts in the ambulatory ECG signal due to base-line wandering and power-line instabilitysurrogate

Implementation of digital filters on smartphones can effectively reduce noise in wirelessly transmitted ambulatory ECG signals for telecardiology applications.

Cite This Study

Kim et al. (2014) studied Ambulatory ECG signal processing. Digital filtering algorithms (FIR and IIR) on an Android smartphone was evaluated on Reduction of artifacts in ambulatory ECG signals due to base-line wandering and power-line instability. Implementation of digital filters (FIR and IIR) on an Android smartphone efficiently reduced artifacts in wirelessly transmitted ambulatory ECG signals caused by base-line wandering and power-line instability.

synapsesocial.com/papers/6a1c2c11412da96b219ce611https://doi.org/10.12720/ijeee.2.1.75-79
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