scholarly journals A Review on Compressive Sensing for Distributed Signal Processing in WBAN

2021 ◽  
pp. 17-21
Author(s):  
Ashwini S Chiwarkar ◽  
Dr. K. B. Khanchandani

Wireless networks of the body (WBANs) that support healthcare applications are in the early stages of development but make valuable contributions to surveillance, diagnostics or therapy. They cover real-time medical information acquisition from various sensors with secure data communication and low power consumption. WBANs promises discreet outpatient medical monitoring over a long period of time and inform the physician in real-time about the patient's condition. They are widely used for ubiquitous healthcare, entertainment, and military applications. This article presents distributed wireless networks and describes the search for Orthogonal Matching Pursuit (OMP), Basis Pursuit (BP), Least Mean Square Technique (LMS), and Normalized Least Mean Square Technique (NLMS).

2015 ◽  
Vol 2015 ◽  
pp. 1-23 ◽  
Author(s):  
Luis Filipe ◽  
Florentino Fdez-Riverola ◽  
Nuno Costa ◽  
António Pereira

Wireless Body Area Networks (WBANs) supporting healthcare applications are in early development stage but offer valuable contributions at monitoring, diagnostic, or therapeutic levels. They cover real-time medical information gathering obtained from different sensors with secure data communication and low power consumption. As a consequence of the increasing interest in the application of this type of networks, several articles dealing with different aspects of such systems have been published recently. In this paper, we compile and compare technologies and protocols published in the most recent researches, seeking WBAN issues for medical monitoring purposes to select the most useful solutions for this area of networking. The most important features under consideration in our analysis include wireless communication protocols, frequency bands, data bandwidth, transmission distance, encryption, authentication methods, power consumption, and mobility. Our study demonstrates that some characteristics of surveyed protocols are very useful to medical appliances and patients in a WBAN domain.


Author(s):  
A. SUBASH CHANDAR ◽  
S. SURIYANARAYANAN ◽  
M. MANIKANDAN

This paper proposes a method of Speech recognition using Self Organizing Maps (SOM) and actuation through network in Matlab. The different words spoken by the user at client end are captured and filtered using Least Mean Square (LMS) algorithm to remove the acoustic noise. FFT is taken for the filtered voice signal. The voice spectrum is recognized using trained SOM and appropriate label is sent to server PC. The client and the server communication are established using User Datagram Protocol (UDP). Microcontroller (AT89S52) is used to control the speed of the actuator depending upon the input it receives from the client. Real-time working of the prototype system has been verified with successful speech recognition, transmission, reception and actuation via network.


Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3108 ◽  
Author(s):  
Shing-Hong Liu ◽  
Chuan-Bi Lin ◽  
Ying Chen ◽  
Wenxi Chen ◽  
Tai-Shen Huang ◽  
...  

In recent years, wearable monitoring devices have been very popular in the health care field and are being used to avoid sport injuries during exercise. They are usually worn on the wrist, the same as sport watches, or on the chest, like an electrocardiogram patch. Common functions of these wearable devices are that they use real time to display the state of health of the body, and they are all small sized. The electromyogram (EMG) signal is usually used to show muscle activity. Thus, the EMG signal could be used to determine the muscle-fatigue conditions. In this study, the goal is to develop an EMG patch which could be worn on the lower leg, the gastrocnemius muscle, to detect real-time muscle fatigue while exercising. A micro controller unit (MCU) in the EMG patch is part of an ARM Cortex-M4 processor, which is used to measure the median frequency (MF) of an EMG signal in real time. When the muscle starts showing tiredness, the median frequency will shift to a low frequency. In order to delete the noise of the isotonic EMG signal, the EMG patch has to run the empirical mode decomposition algorithm. A two-electrode circuit was designed to measure the EMG signal. The maximum power consumption of the EMG patch was about 39.5 mAh. In order to verify that the real-time MF values measured by the EMG patch were close to the off-line MF values measured by the computer system, we used the root-mean-square value to estimate the difference in the real-time MF values and the off-line MF values. There were 20 participants that rode an exercise bicycle at different speeds. Their EMG signals were recorded with an EMG patch and a physiological measurement system at the same time. Every participant rode the exercise bicycle twice. The averaged root-mean-square values were 2.86 ± 0.86 Hz and 2.56 ± 0.47 Hz for the first and second time, respectively. Moreover, we also developed an application program implemented on a smart phone to display the participants’ muscle-fatigue conditions and information while exercising. Therefore, the EMG patch designed in this study could monitor the muscle-fatigue conditions to avoid sport injuries while exercising.


Impedance Cardiography (ICG) evaluation facilitates the volume of heart stroke in the sudden cardiac arrest. It is a noninvasive method for measurement of stroke volume, cardiac output monitoring and observing the hemodynamic parameters by changes in the body blood volume. Bloodvolume changes caused due to various physiological processes is extracted in the form of the variations in the impedance of the body segment. In the real time clinical environment during the extraction the ICG signals are influenced with several artifacts.As these artifacts are not stationary in nature, we can’t predict their characteristics. Hence,we developed several hybrid adaptive filtering mechanisms to improve the ICG signals resolution. Least mean square (LMS) algorithm is the basic enhancement technique in the adaptive filtering. However, in the non-stationery situation the LMS algorithm suffers with low rate of convergence and weight drift problems. In this paper we developed some hybrid variantsof LMS algorithm those are Leaky LMS (LLMS) for ICG signal enhancement. More over to progress the convergence rate, filtering capability and to reduce the computational complexity we also developed various sign versions of LLMS algorithms. The sign variants of LLMS algorithms are sign regressor LLMS (SRLLMS), Sign LLMS (SLLMS), and Sign Sign LLMS (SSLLMS). Severaladaptive signal enhancement units (ASEUs) are developed based on adaptive algorithms and performance is evaluated on the real ICG signal taken from MIT-BIT database. To ensure the efficiency of these algorithms, four experiments were performed to eliminate the various artifacts such as sinusoidal artifacts (SA), respiration artifacts (RA), muscle artifacts (MA) and electrode artifacts (EA). Among these techniques, the ASEU associated with SRLLMS performs better in the artifacts filtering process. The signal to noise ratio improvement (SNRI) for this algorithm is calculated as 9.3388 dBs, 5.7514 dBs, 8.4449 dBs and 8.7358 dBs respectively for SA, RA, MA and EA. Hence, the SRLLMS based ASEUs are more suitable in ICG signal filtering in real time health care sensing systems.


2019 ◽  
Vol 27 (16) ◽  
pp. 22116 ◽  
Author(s):  
Jie Li ◽  
Tao Zeng ◽  
Xiang Li ◽  
Lingheng Meng ◽  
Ming Luo ◽  
...  

Author(s):  
O. P. Mintser ◽  
L.Yu. Babintseva ◽  
О. А. Panchenko

<p class="41" align="center">Innovative processes in modem society, of course, touched and medicine. Caused by their structural and organizational changes in health care require a rethinking of many postulates, increased reserves, and most importantly - bringing the most advanced technology.</p><p class="41">Particular attention is drawn to the area such as Rehabilitology and its practical implementation - Rehabilitation of patients. The success of the solutions of problems of rehabilitation is defined as the presence of the appropriate material and technical base and a sufficient level of training of medical personnel and methodological level of medicine in general. Therefore, a permanent modification of scientific and practical problems of rehabilitation under the influence of processes occurring in health care is inevitable.</p><p class="41">Purpose - conceptual generalization prospects of Rehabilitation in modern medicine on the basis of extensive use of information technology. The goal of rehabilitation should be not only to restore health, but also in restoring the dignity of man, his social and social independence. Such judgments are more and more in the latest definitions of the concept of rehabilitation.</p><p class="41">Information technology - this is the provision that allows you to raise the level of rehabilitation care through the introduction of new organizational methods, new ways and means of rehabilitation. Knowledge of current trends of information Rehabilitation, of course, is a basis for determining further ways to improve the industry. Conventionally, there are three main areas of information technology in Rehabilitation: the automation of diagnostic and therapeutic techniques of medical information to support decision-making, telerehabilitation.</p><p class="41">The authors propose a new concept of rehabilitation. Its main differences are the three concepts: the rehabilitation program should be considered, ranging from inpatient treatment period, patient risk monitoring of the pathological process is the link that unites medical monitoring strategy and the impact on the patient, the need for analysis and standardization of variants of the rehabilitation period on the basis of principles of medical ontology. In the new coordinate system created becomes relevant issue is not the etiology and pathogenesis of the disease, and the mechanisms of the transition state of the body from illness to health.</p><p class="41" align="center">The paper also proposed the original division of the rehabilitation period, into 4 stages: clinical, sanatorium, residual, adaptation.</p><p class="41">Given that rehabilitation programs are individually designed for each patient, taking into account the general condition, the characteristics of the disease, the initial level of physical condition, the patient’s personality, age, gender, occupation, etc., they can be viewed as a project or pre-plan the system of measures.</p>


Sign in / Sign up

Export Citation Format

Share Document