Portable electrocardiogram sensor monitoring system based on Body Area Network

Rasyid, M. Udin Harun Al; Pranata, Alif Akbar; Lee, Bih‐Hwang; Saputra, Ferry Astika; Sudarsono, Amang

doi:10.1109/icce-tw.2016.7521006

Cited by 18 publications

(7 citation statements)

References 6 publications

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“…EKG is a non-invasive and commonly used technique to record and visualize electrical activity from the heart by presenting the series of waves related to the electrical impulses of each heartbeat (Al Rasyid et al, 2016). EKG allows describing heart rate and heart rate variability, tools for the evaluation of autonomic nervous system and it has been associated with different cognitive functions (Forte et al, 2019).…”

Section: Mobile Cognitive Electrophysiologymentioning

confidence: 99%

Mobile Brain/Body Imaging: Challenges and opportunities for the implementation of research programs based on the 4E perspective to cognition

et al. 2022

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Cognitive dynamics are multimodal, and they need to integrate real-time feedback to be adaptive and appropriate. However, cognition research still relies on mostly unimodal paradigms using simple motor tasks in laboratory-based static situations. This paper addresses this limitation by presenting the Mobile Brain/Body Imaging approach based on the Embodied, Embedded, Extended, and Enactive perspective, which complements traditional laboratory work while also facilitating ecologically valid applications. First, we briefly review Mobile Brain/Body Imaging technologies used to obtain functional and structural images of the Brain/Body System during natural cognition. Specifically: mobile cognitive electrophysiology, mobile functional neurovascular dynamics, and mobile behavioral measurements. Second, we review the development of Mobile Brain/Body Imaging/4E in Chile. Finally, we discuss challenges and opportunities. We conclude that although this new epistemic/methodological approach is promising, there is a need for greater portability, robust equipment, and data-analysis tools that can integrate signals from the brain/body-in-the-world system. Future experimental designs need to re-consider their underlying logic and increase their ecological validity by-perhaps-modifying the physical spaces in which experiments are conducted.

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Section: Mobile Cognitive Electrophysiologymentioning

confidence: 99%

Mobile Brain/Body Imaging: Challenges and opportunities for the implementation of research programs based on the 4E perspective to cognition

et al. 2022

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“…The interference mitigation methods in WBAN such as power control approach, MAC approach, cognitive radio approach, ultra wideband (UWB) approach, and signal processing approach is important to increase data sending reliability [9]. WBAN technology can be used in various fields of application such as health [10][11], transportation [12], military [13], and sport [14][15][16][17].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Hypothermia Symptoms Early Detection With Smart Jacket Based on Wireless Body Area Network

et al. 2020

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Hypothermia is a state where the body cannot balance the body heat due to excessive cold temperature pressure so that there will be loss of heat in the body. The result will be a quickly decreasing body temperature. A condition where a body temperature is less than 35°C and that it is accompanied by a decrease in consciousness may cause a death threat. Hypothermia is more common when climbers perform activities in cold temperatures and strong winds, and when they wear wet clothes. It is not easy for a mountain climber to find out his own body temperature as well as that of his friends and to determine whether the body temperature is safe or affected by hypothermia symptoms. Therefore, this research formed a device to detect hypothermia. It consists of temperature sensor, pulse sensor, and accompanied by heating elements based on wireless body area network (WBAN). This device will connect to the user's smartphone by using Bluetooth, so the user can see the condition of his body, adjust the temperature of the heating element, and make a group of climbers. The experiment result shows that the device can detect hypothermia symptoms and inform these symptoms to the users and groups of mountaineers in WBAN area, and the climbers can be more vigilant in responding to hypothermia so that mortality cases caused by hypothermia can be minimized. INDEX TERMS ehealth, heart rate, hypothermia, temperature, wireless body area network.

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“…Many related works have proposed their system architectures and employed existing technologies in their applications. For example, the authors in the study [20] used Raspberry Pi to develop a portable health-care sensor tool to record the ECG changes of patients and used the MySQL [21] database to store relevant sensor data. The authors in the study [22] considered that the data generated by medical sensors is vast, and the traditional relational database cannot process large data in real time.…”

Section: Related Workmentioning

confidence: 99%

A Scalable Virtualized Server Cluster Providing Sensor Data Storage and Web Services

Chiang

Hou

2020

Symmetry

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With the rapid development of the Internet of Things (IoT) technology, diversified applications deploy extensive sensors to monitor objects, such as PM2.5 air quality monitoring. The sensors transmit data to the server periodically and continuously. However, a single server cannot provide efficient services for the ever-growing IoT devices and the data they generate. This study bases on the concept of symmetry of architecture and quantities in system design and explores the load balancing issue to improve performance. This study uses the Linux Virtual Server (LVS) and virtualization technology to deploy a virtual machine (VM) cluster. It consists of a front-end server, also a load balancer, to dispatch requests, and several back-end servers to provide services. These receive data from sensors and provide Web services for browsing real-time sensor data. The Hadoop Distributed File System (HDFS) and HBase are used to store the massive amount of received sensor data. Because load-balancing is critical for resource utilization, this study also proposes a new load distribution algorithm for VM-based server clusters that simultaneously provide multiple services, such as sensor services and Web service. It considers the aggregate load of all back-end servers on the same physical server that provides multiple services. It also considers the difference between physical machines and VMs. Algorithms such as those for LVS, which do not consider these factors, can cause load imbalance between physical servers. The experimental results demonstrate that the proposed system is fault tolerant, highly scalable, and offers high availability and high performance.

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Portable electrocardiogram sensor monitoring system based on Body Area Network

Cited by 18 publications

References 6 publications

Mobile Brain/Body Imaging: Challenges and opportunities for the implementation of research programs based on the 4E perspective to cognition

Mobile Brain/Body Imaging: Challenges and opportunities for the implementation of research programs based on the 4E perspective to cognition

Design and Implementation of Hypothermia Symptoms Early Detection With Smart Jacket Based on Wireless Body Area Network

A Scalable Virtualized Server Cluster Providing Sensor Data Storage and Web Services

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