Wireless Medical-Embedded Systems: A Review of Signal-Processing Techniques for Classification

Ghasemzadeh H.; Ostadabbas S.; Guenterberg E.; Pantelopoulos A.

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Wireless Medical-Embedded Systems: A Review of Signal-Processing Techniques for Classification

机译：无线医疗嵌入式系统：分类信号处理技术的回顾

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摘要

Body-worn sensor systems will help to revolutionize the medical field by providing a source of continuously collected patient data. This data can be used to develop and track plans for improving health (more sleep and exercise), detect disease early, and provide an alert for dangerous events (e.g., falls and heart attacks). The amount of data collected by even a small set of sensors running all day is too much for any person to analyze. Signal processing and classification can be used to automatically extract useful information. This paper presents a general classification framework for wireless medical devices and reviews the available literature for signal processing and classification systems or components used in body-worn sensor systems. Examples focus on electrocardiography classification and signal processing for inertial sensors.

机译：穿戴式传感器系统通过提供持续收集的患者数据源，将有助于彻底改变医学领域。这些数据可用于制定和跟踪改善健康状况的计划（增加睡眠和锻炼），及早发现疾病并为危险事件（例如跌倒和心脏病发作）提供警报。即使是一整天运行的一小组传感器收集的数据量也太大，任何人都无法分析。信号处理和分类可用于自动提取有用的信息。本文提出了一种无线医疗设备的通用分类框架，并回顾了有关信号处理和分类系统或人体穿戴传感器系统中使用的组件的可用文献。示例集中于惯性传感器的心电图分类和信号处理。

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来源
《Sensors Journal, IEEE》 |2013年第2期|p.423-437|共15页
作者
Ghasemzadeh H.; Ostadabbas S.; Guenterberg E.; Pantelopoulos A.;
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作者单位

Computer Science Department, University of California, Los Angeles, CA, USA;

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原文格式 PDF
正文语种 eng
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关键词
Discrete wavelet transforms; Electrocardiography; Feature extraction; Medical services; Motion segmentation; Noise; Classification; embedded systems; healthcare; signal processing;

机译：离散小波变换;心电图;特征提取;医疗服务;运动分割噪声;分类;嵌入式系统;卫生保健;信号处理;

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7. Wireless Medical-Embedded Systems: A Review of Signal-Processing Techniques for Classification [O] . Hassan Ghasemzadeh, Sarah Ostadabbas, Student Member, 2014

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Wireless Medical-Embedded Systems: A Review of Signal-Processing Techniques for Classification

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