Wearable ECG System for Health and Sports Monitoring

Valchinov, Emil; Antoniou, A.; Rotas, Konstantinos; Pallikarakis, N.

doi:10.4108/icst.mobihealth.2014.257236

Cited by 22 publications

(13 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wearable health monitoring systems are usually equipped with a variety of electronic and MEMS sensors, actuators, wireless communication modules and signal processing units. The measurements obtained by the sensors connected in a wireless Body Sensor Network (BSN) [ 8 , 12 , 13 , 14 ] are transmitted to a nearby processing node using a suitable communication protocol, preferably a low-power and short-range wireless medium, for example, Bluetooth [ 15 , 16 ], ZigBee [ 15 , 17 ], ANT [ 15 , 18 , 19 ] Near Field Communications (NFC) [ 20 , 21 ]. The processing node, which could be a Personal Digital Assistant (PDA), smartphone, computer or a custom made processing module based on a microcontroller or a Field Programmable Gate Array (FPGA) runs advanced processing, analysis, and decision algorithms and may also store and display the results to the user.…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensors for Remote Health Monitoring

Majumder

Mondal

Deen

2017

Sensors

1,004

576

View full text Add to dashboard Cite

Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant burdens on the socio-economic structure of these countries. Therefore, it is essential to develop cost-effective, easy-to-use systems for the sake of elderly healthcare and well-being. Remote health monitoring, based on non-invasive and wearable sensors, actuators and modern communication and information technologies offers an efficient and cost-effective solution that allows the elderly to continue to live in their comfortable home environment instead of expensive healthcare facilities. These systems will also allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions and provide feedback from distant facilities. In this paper, we have presented and compared several low-cost and non-invasive health and activity monitoring systems that were reported in recent years. A survey on textile-based sensors that can potentially be used in wearable systems is also presented. Finally, compatibility of several communication technologies as well as future perspectives and research challenges in remote monitoring systems will be discussed.

show abstract

Section: Introductionmentioning

confidence: 99%

Wearable Sensors for Remote Health Monitoring

Majumder

Mondal

Deen

2017

Sensors

1,004

576

View full text Add to dashboard Cite

show abstract

“…In that study various types of ECG devices with different electrode positions were used. The studies by Shen et al [27], and by Valchinov et al [28] reported that the ECG signal was of adequate quality during resting, walking, or jogging, but there were some small motion artefacts present during running or jumping activities. In our preliminary pilot study [18] it was shown that the particular wireless ECG body sensor can correctly detect ECG signal on a cycle ergometer; however, on the treadmill the test signal was of adequate quality for running speeds of up to 13.5 km/h, while in the presented study it was of adequate quality up to 14.96 km/h.…”

Section: Discussionmentioning

confidence: 99%

Quality of One-channel Telemetric ECG Sensor Signal in Maximum Exercise Stress Tests

Siraiy

Trobec

Ilić

2019

Measurement Science Review

View full text Add to dashboard Cite

The aim of this study was to evaluate the quality of the ECG signal, obtained from a telemetric body-sensor device during a maximum stress test on an ergometer. Twenty-three subjects, 13 males, were included in the study (20.56±1.19 years). Two different sensor positions were verified on each subject by the concurrent use of two ECG sensors. Each subject participated in four exercise stress tests: two on a treadmill and two on a cycle ergometer. In the first test, both sensors were attached to self-adhesive skin electrodes on the body, while in the second test the sensors were additionally fixed with self-adhesive tapes. The measurements were compared on both ergometers, in terms of the ECG sensors’ positions and the methods used for the sensors’ fixation. The results showed a significant difference in the running speed that provides an assessable ECG signal between the non-fixed and the fixed sensors at position left inferior (p = 0.000), as well as between the positions left inferior and left superior in the first (p = 0.019), and in the second test (p = 0.000) on the treadmill. On the cycle ergometer the differences were significant between the positions left inferior and left superior in the first (p = 0.000), and the second test (p = 0.003), and between the tests with fixed and non-fixed sensors in the position left superior (p = 0.011). The study confirms that ECG sensors could be used for maximal exercise stress tests in laboratories, especially on a cycle ergometer, and that they present a great potential for future use of ECG sensors during physical activity.

show abstract

“…Daily activities using wearable monitoring devices were addressed in [33][34][35]. Furthermore, real-time activity monitoring at different premises, such as home, healthcare or sports facilities, was discussed in [155,156,199].…”

Section: Service-based Monitoring Systemsmentioning

confidence: 99%

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges

Serhani

Kassabi

Ismail

et al. 2020

Sensors

231

View full text Add to dashboard Cite

Health monitoring and its related technologies is an attractive research area. The electrocardiogram (ECG) has always been a popular measurement scheme to assess and diagnose cardiovascular diseases (CVDs). The number of ECG monitoring systems in the literature is expanding exponentially. Hence, it is very hard for researchers and healthcare experts to choose, compare, and evaluate systems that serve their needs and fulfill the monitoring requirements. This accentuates the need for a verified reference guiding the design, classification, and analysis of ECG monitoring systems, serving both researchers and professionals in the field. In this paper, we propose a comprehensive, expert-verified taxonomy of ECG monitoring systems and conduct an extensive, systematic review of the literature. This provides evidence-based support for critically understanding ECG monitoring systems’ components, contexts, features, and challenges. Hence, a generic architectural model for ECG monitoring systems is proposed, an extensive analysis of ECG monitoring systems’ value chain is conducted, and a thorough review of the relevant literature, classified against the experts’ taxonomy, is presented, highlighting challenges and current trends. Finally, we identify key challenges and emphasize the importance of smart monitoring systems that leverage new technologies, including deep learning, artificial intelligence (AI), Big Data and Internet of Things (IoT), to provide efficient, cost-aware, and fully connected monitoring systems.

show abstract

Wearable ECG System for Health and Sports Monitoring

Cited by 22 publications

References 5 publications

Wearable Sensors for Remote Health Monitoring

Wearable Sensors for Remote Health Monitoring

Quality of One-channel Telemetric ECG Sensor Signal in Maximum Exercise Stress Tests

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges

Contact Info

Product

Resources

About