DocumentCode
1740669
Title
ECG data reduction method for medical telemetry system
Author
Kyoso, Masaki ; Uchiyama, Akihiko
Author_Institution
Dept. of Inf. & Comput. Sci., Kanagawa Inst. of Technol., Japan
Volume
2
fYear
2000
fDate
2000
Firstpage
1275
Abstract
No matter whether the data is important or not, the transmitter of a conventional medical telemetry system sends data continuously. The ECG data reduction method we present is designed for ECG telemetry system. The transmitter has a simple ECG analyzer which only detects abnormal waveform, and which suspend transmission while detecting normal ECG. Measurements on ECG wave detection and diagnosis have been done with the system whose processing speed is limited, because it is essential for battery driven system to save power consumption. The experimental hardware is a microprocessor based system. The software is composed of baseline drift canceller, waveform detector and ECG analyzer. Experiments have been performed on ECGs from normal subjects and on retrieved arrhythmia from data file. Under various conditions, such as resting, typewriting and walking, the results show that the abnormal waveforms were perfectly detected, and that the system has adequate performance for a built-in system
Keywords
biomedical telemetry; data reduction; electrocardiography; medical signal detection; medical signal processing; waveform analysis; ECG analyzer; ECG data reduction method; abnormal waveform detection; arrhythmia; baseline drift canceller; battery driven system; built-in system; medical telemetry system; microprocessor based system; moving average; waveform detector; wireless telemetry; Battery charge measurement; Electrocardiography; Energy consumption; Hardware; Medical diagnostic imaging; Microprocessors; Power measurement; Telemetry; Transmitters; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.897968
Filename
897968
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