用于生物信号遥测的优化Lipschitz指数自由空间光通信

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
Mathuvanesan Chokkalingam, Chinnadurai Murugaiyan
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引用次数: 0

摘要

摘要医疗保健监测是先进医疗领域中一个快速发展的网络。该网络结合了无线通信、信号处理、医疗信息和实时处理单元的思想,为医疗监测系统提供支持。拟议的工作重点是开发一种自由空间光学(FSO)系统,将生物信号从远程传输给医生。通常,通过FSO系统传输的数据受到各种大气条件的影响,例如空气介质、O2和H2O分子。为了解决这些问题,在FSO介质上传输之前,在优化Lipschitz指数(OLE)函数中处理生物信号心电图(ECG)和脑电图(EEG)。在这种新技术中,OLE函数通过计算局部规律性和奇异性来测量生物信号中的信息数据。这收集了信息量最大的信号,并通过FSO介质在信号中传输它们。这种特殊的杂交有助于在不失真的情况下传输所需的数据。获得10−9的误码率(BER),满足医疗保健监测条件。结果部分表明,与原始信号相比,所提出的模型具有最小的损耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Free-Space Optical Communication with an Optimized Lipschitz Exponent for Biosignal Telemetry
Abstract Healthcare monitoring is a rapidly developing network in the field of advanced medical treatment. The network combines the ideology of wireless communication, signal processing, medical information and real-time processing units to support the medical monitoring system. The proposed work focuses on the development of a Free-Space Optical (FSO) system to transmit the biosignals from a remote distance to the physician. Generally, the data transmitted over the FSO system is affected by various atmospheric conditions such as air medium, O2, and H2O molecules. To tackle these problems, the Biosignals Electrocardiogram (ECG) and Electroencephalogram (EEG) are processed in the Optimized Lipschitz Exponent (OLE) function before transmission over the FSO medium. In this novel technique, the OLE function measures the informative data from the biosignals by calculating the local regularities and singularity. This collects the most informative signals and transmits them in the signal over the FSO medium. This particular hybridization helps to transmit the required data without distortion. The Bit Error Rate (BER) of 10−9 is obtained, which satisfies the healthcare monitoring condition. The result section shows that the proposed model has minimum losses compared to the original signal.
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来源期刊
Measurement Science Review
Measurement Science Review INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
11.10%
发文量
37
审稿时长
4.8 months
期刊介绍: - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science
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