NDLI: An ECG arrhythmia classification and heart rate variability analysis system based on android platform

Content Provider	IEEE Xplore Digital Library
Author	Shouhai Xue Xianxiang Chen Zhen Fang Shanhong Xia
Copyright Year	2015
Description	Author affiliation: Inst. of Electron., Beijing, China (Shouhai Xue; Xianxiang Chen; Zhen Fang; Shanhong Xia)
Abstract	With the rapid growth of the medical technologies and constant renewal of medical facilities, electrocardiography (ECG) provides an effective and easy to use means for arrhythmia classification and heart rate variability (HRV) analysis. Most of the existing ECG device have the disadvantage of either poor local signal processing ability or heavily rely on the signal processing ability of remote server. After thorough investigation, Android platform is adopted to develop an ECG signal processing application for real-time arrhythmia classification and HRV analysis. The ECG data acquired with a wearable ECG sensor are transmitted to the Android smart phone or tablet via BLE (Bluetooth low energy). Computing intensive signal processing tasks were implemented in C code with Android NDK (Native Development Kit) technology. The user account information and analysis results can also be transmitted to the remote server through the HTTP protocol if needed.
Starting Page	1
Ending Page	5
File Size	859120
Page Count	5
File Format	PDF
e-ISBN	9781479961689
DOI	10.1109/Ubi-HealthTech.2015.7203323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile health system; Android; ECG; Bluetooth low energy Electrocardiography Signal processing Real-time systems Heart rate variability Monitoring Smart phones
Content Type	Text
Resource Type	Article

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