<i>Review:</i>
            Emerging Trends in Healthcare Adoption of Wireless Body Area Networks

Rangarajan, Anuradha

doi:10.2345/0899-8205-50.4.264

Cited by 7 publications

(3 citation statements)

References 66 publications

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“…At the medical network, the data can be used for further analysis and/or diagnosis to the monitored symptoms of the user. A typical health monitoring system consists of a network of wearable or implanted sensors that constantly monitor physiological parameters [13]. Collected data is relayed using existing wireless communication protocols to a base station for additional processing [14].…”

Section: Wireless Body Area Networkmentioning

confidence: 99%

Wireless body area network's application for motion detection based on Android smartwatch

Yundra¹,

Widodo²,

Puspitaningayu³

2018

MATEC Web Conf.

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Short-range, wireless communications in the vicinity of, or inside, a human body (but not limited to humans) are specified in this standard. It uses existing industrial scientific medical (ISM) bands as well as frequency bands approved by national medical and/or regulatory authorities. These sensors provide accurate and reliable information about the situation or activity occurring at any time. This high responsiveness of these sensors has made lives easy and safe. This article will perform an investigation on the WBAN's application for motion detection based on android smartwatch. The main problem is how to the sensors that attached on the human body can send of data via Bluetooth and read the motion and orientation of the body and display in the graph form. However, if the sensors do not match, the result of output display inappropriate. This article proposed method by using accelerometer and gyroscope sensors which are integrated with smartwatch to overcome the main problem. This application will display results in the form of numeric values and then convert in graph form. These results have proven that WBAN's application for motion sensing can be used for detection of motion and orientation via Bluetooth based on android smartwatch.

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Section: Wireless Body Area Networkmentioning

confidence: 99%

Wireless body area network's application for motion detection based on Android smartwatch

Yundra¹,

Widodo²,

Puspitaningayu³

2018

MATEC Web Conf.

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“…WBAN is an essential process for many applications, such as medical sensing and control, health and wellness nursing, personal audio or video, wearable computing, location finding, and identification. As WBAN is around a human body, the communication distance between devices in WBAN cover only a short range, typically a few meters [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey

Kadel

Islam

Ahmed

et al. 2018

JSAN

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This paper offers a review of different types of Error Correction Scheme (ECS) used in communication systems in general, which is followed by a summary of the IEEE standard for Wireless Body Area Network (WBAN). The possible types of channels and network models for WBAN are presented that are crucial to the design and implementation of ECS. Following that, a literature review on the proposed ECSs for WBAN is conducted based on different aspects. One aspect of the review is to examine what type of parameters are considered during the research work. The second aspect of the review is to analyse how the reliability is measured and whether the research works consider the different types of reliability and delay requirement for different data types or not. The review indicates that the current literatures do not utilize the constraints that are faced by WBAN nodes during ECS design. Subsequently, we put forward future research challenges and opportunities on ECS design and the implementation for WBAN when considering computational complexity and the energy-constrained nature of nodes.

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“…In the past decade, many kinds of wearable health monitoring systems have been developed in hospitals and reallife circumstances [1][2][3]. The wearable sensing hardware platform assists in acquiring and processing of multiple physiological features to provide an early recognition of pathological symptoms and to improve the healing rate of disease without superseding in patient's daily routine [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Plain Weave and Honeycomb Weave Electrodes for Human ECG Monitoring

et al. 2017

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Long-time monitoring of physiological parameters can scrutinize human health conditions so as to use electrocardiogram (ECG) for diagnosis of some human's chronic cardiovascular diseases. The continuous monitoring requires the wearable electrodes to be breathable, flexible, biocompatible, and skin-affinity friendly. Weave electrodes are innovative materials to supply these potential performances. In this paper, four conductive weave electrodes in plain and honeycomb weave patterns were developed to monitor human ECG signals. A wearable belt platform was developed to mount such electrodes for acquisition of ECG signals using a backend electronic circuit and a signal transfer unit. The performance of weave ECG electrodes was evaluated in terms of skin-electrode contacting impedance, comfortability, ECG electrical characteristics, and signal fidelity. Such performances were then compared with the values from Ag/AgCl reference electrode. The test results showed that lower skin-electrode impedance, higher R-peak amplitude, and signal-to-noise ratio (SNR) value were obtained with the increased density of conductive filaments in weave and honeycomb weave electrode presented higher comfort but poorer signal quality of ECG. This study inspires an acceptable way of weave electrodes in long-and real-time of human biosignal monitoring.

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Review: Emerging Trends in Healthcare Adoption of Wireless Body Area Networks

Cited by 7 publications

References 66 publications

Wireless body area network's application for motion detection based on Android smartwatch

Wireless body area network's application for motion detection based on Android smartwatch

Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey

Performance Evaluation of Plain Weave and Honeycomb Weave Electrodes for Human ECG Monitoring

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