The preprocessing of ECG signals related to the cardiac cycle, such as duration of the QRS complex and the STT segment level, is better handled using linear filters to prevent phase distortion from fluctuating wave properties [84]. 1620 August 2016; pp. 2022 February 2019; pp. [115] proposed a mobile personal elderly health monitoring for automated classification of ECG signals using machine learning techniques. Increasingly, remote ECG monitoring is used by clinics in the United States as a cost-effective solution to review a patient's heart activity without their need to travel to a clinic. This paper is organized as follows: Section 2 introduces the ECG monitoring architecture, describes the monitoring value chain and the main processes involved. 2530. Furthermore, it substantially reduced the cost of healthcare expenses by lowering the number of hospital visits for traditional regular monitoring. Hybrid intelligent methods for arrhythmia detection and geriatric depression diagnosis. In addition to the five clusters, a horizontal underneath level represents the communication protocol and the wireless technology used by all the categories of monitoring systems to transport the ECG signals from sensors to the underlying servers and/or devices under which the ECG is processed and visualized. The authors presented an analysis of a mortality prediction algorithm to evaluate the extent to which the proposed algorithm can predict mortality rate. Zhang Z.-X., Tian X.-W., Lim J.S. [6] An extension of this approach was proposed, which modeled not only normal and ventricular heartbeats, but also morphologies not previously encountered. This is the most important stage in the monitoring systems lifecycle as it affects the accuracy of signal interpretation and diagnostics. Monitoring logs are continuously analyzed and improvement measures are taken to react to any quality degradation. However, few initiatives focused only on one process, such as processing in [64]. Quality measurement and enforcement are supported through continuous monitoring and control of various proprieties of the monitoring system. ECG monitoring systems dedicated to sports activities represent a significant share among existing monitoring systems [37,38,183]. Q&A with MD: The future of remote cardiac monitoring [279] highlighted a few challenges in handling visualization for continuous ECG monitoring. Butun E., Yildirim O., Talo M., Tan R.-S., Acharya U.R. For example, Yoon and Gho [157] utilized a commercial contactless ECG monitoring device for remote home telemedicine. On one hand, hospital ECG acquisition devices are usually big in size and support high-precision and long-term monitoring. For example, processed real-time ECG signals might utilize Fog/Edge computing. [. Also, personalized monitoring systems should be raised to the next level in terms of being highly customized according to patients needs and interactive to allow special configurations and adaptations to users requirements for a better quality of life. ECG based human authentication: A review. Mobile self-monitoring ECG devices to diagnose arrhythmia that coincide with palpitations: A scoping review. They work for specific contexts, serve specific targets, or are suitable for specific technologies. Furthermore, real-time activity monitoring at different premises, such as home, healthcare or sports facilities, was discussed in [155,156,199]. Sposato L.A., Cipriano L.E., Saposnik G., Vargas E.R., Riccio P.M., Hachinski V. Diagnosis of atrial fibrillation after stroke and transient ischaemic attack: A systematic review and meta-analysis. Ad hoc (i.e., one-time), immotile monitoring has been deployed in many research studies to address various healthcare situations using different types of ECG sensors and monitoring platforms. IoT brings in remote, unconstrained connectivity and services that leverage data and facilitate timely, meaningful, and critical decisions for a better lifestyle. [29] addressed the comfort of monitored patients and designed a non-invasive textile electrode that guarantees excellent quality of ECG reading and offers comfort to patient while they are being monitored. A health care provider might recommend remote or continuous ECG monitoring. Considerable research and development is being undertaken for ambulatory ECG monitoring systems [8,21,22,23,122,123,124,125]; most of the researches support data collection, transmission, and analytics for ambulatory emergency situations. the contents by NLM or the National Institutes of Health. 302307. 911 November 2011; pp. 1418 May 2019; [. [. If one already exists go on to the next step. Kim K. Europace Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography. For instance, Karaouz et al. ; Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS); Milano, Italy. A remote diagnosis service platform for wearable ECG monitors. You can. Sohn H., Farrar C.R., Hemez F.M., Shunk D.D., Stinemates D.W., Nadler B.R., Czarnecki J.J. A Review of Structural Health Monitoring Literature: 19962001. Remote ECG monitoring systems are becoming commonplace medical devices for remote heart monitoring. Summary of the most common literature referring to ECG monitoring systems lifecycles, primary and supporting processes. 36 December 2018; [. A home-based monitoring system with low-cost data acquisition was proposed in [251]. Huang H., Hu S., Sun Y. Energy-Efficient ECG Signal Compression for User Data Input in Cyber-Physical Systems by Leveraging Empirical Mode Decomposition. Some efforts attempted to provide a common understanding of ECG monitoring systems processes [42,43,44,45,46,47], guiding the design of efficient monitoring systems. Real-time screening is usually conducted for a relatively longer period of time compared to traditional screening (e.g., days or even months). To that end, we endorse that this work, with a detailed discussion on many relevant research work, provides a comprehensive state-of-the-art review of ECG monitoring systems. Typically, IoT-based monitoring systems adopt most of the primary processes [12,13,71,72]. [, Chatzigiannakis I., Valchinov E.S., Antoniou A., Kalogeras A., Alexakos C., Konstantinopoulos P. Advanced observation and telemetry heart system utilizing wearable ECG device and a Cloud platform; Proceedings of the IEEE Symposium on Computers and Communications; Larnaca, Cyprus. The visualization applications vary in terms of the hosting application, nature of information projected, and the functionalities supported, which can be implemented as a web service through a browser, mobile applications [71], or desktop applications [107]. The first class of security techniques are focused on encryption and cryptographic algorithms [276,277]. 710 September 2014; pp. 8083. There are different types of RCM's that are dependant on the kind of help your physician thinks you may need; there are some that constantly automatically record . Other systems support the objective of monitoring user activities; examples include sports, driving, daily activities, and elderly activities. 35 November 2014; pp. Our remote ECG monitoring professionals increase patient compliance through 24/7 support and oversight. In Oster's studies, a model-based ECG filtering approach to ECG data from healthy subjects was applied to facilitate accurate online filtering and analysis . Abrar S., Aziz U.S., Choudhry F., Mansoor A. Other activities, such as driving, was tackled in the literature in [189,190,191,192,193,194,195]. Aljuaid et al. Other examples include using deep learning for the automatic recognition of ECG signals [102], a convolutional neural network (CNN) for arrhythmia classification in [103] and AF in [104], and recurrent neural network (RNN) for activity prediction [105]. As a result, ECG monitoring systems have been developed and widely used in the healthcare sector for the past few decades and have significantly evolved over time due to the emergence of smart enabling technologies [10,11,12,13]. Furthermore, blockchain technology enables security over a distributed environment for various transactions throughout the different layers of the ECG monitoring system architecture. Page A., Kocabas O., Soyata T., Aktas M., Couderc J.P. Cloud-based privacy-preserving remote ECG monitoring and surveillance. However, contactless-based monitoring systems are non-invasive and do not require direct body contact to retrieve ECG and other vital signs. Bortolotti D., Bartolini A., Mangia M., Rovatti R., Setti G., Benini L. Energy-aware bio-signal compressed sensing reconstruction: FOCUSS on the WBSN-gateway; Proceedings of the 2015 IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip; Turin, Italy. Finally, best practices for hospital ECG monitoring have been proposed in [116] and a set of recommendations are made, which included indications, timeframes, and strategies to improve the diagnostic accuracy of cardiac arrhythmia, ischemia, and QT interval monitoring. Golany T., Radinsky K. PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. Noninvasively monitoring you for changes in heart rhythm, using electrocardiograms (EKGs or ECGs), portable Holt monitors, or ultrasound . A number of research work investigated steganography techniques to secure patients privacy during ECG signal collection, storage, and transmission [48,273,274,275]. Real time car drivers condition monitoring system; Proceedings of the IEEE Sensors; Kona, HI, USA. An injectable 64 nW ECG mixed-signal SoC in 65 nm for arrhythmia monitoring. Of particular interest are systems that propose solutions to optimize processing and reduce the cost of data transmission and storage over the Cloud infrastructure [24,26,71,143,144,145], this is also very crucial in cases of emergency and vital situations when real-time analytics are urgently required for actionable insights. Samsung Group is one of the leading patent filers in the field of remote EEG/ECG monitoring. Fensli R., Gundersen T., Snaprud T., Hejlesen O. Each cluster focuses on one dimension of ECG monitoring systems, detailing the features and attributes of these systems in that dimension. They will have more implantable and separated equipment. Remote and wearable ECG devices with diagnostic abilities in - PubMed [. Fan X., Zhao Y., Wang H., Tsui K.L. In general, cost reduction is also an extremely important objective of many performance-based monitoring systems. This is because predicting the likelihood of expected disease development is considered a major human health concern nowadays. [(accessed on 10 February 2020)]; Morak J., Kumpusch H., Hayn D., Leitner M., Scherr D., Fruhwald F.M., Schreier G. Near field communication-based telemonitoring with integrated ECG recordings. . A cloud computing architecture with wireless body area network for professional athletes health monitoring in sports organizationsCase study of Montenegro; Proceedings of the 2015 4th Mediterranean Conference on Embedded Computing (MECO); Budva, Montenegro. An ECG acquisition device was developed using a single-lead heart rate monitor sensor and an Arduino microcontroller. Energy efficient heart rate sensing using a painted electrode ECG wearable; Proceedings of the GIoTS 2017Global Internet of Things Summit; Geneva, Switzerland. 912 October 2013; pp. Individual sensor monitors specific physiological signals, communicates with other sensors and connects to a personal server. In [118], a small and smart ECG Holter monitoring system integrated smartphones to retrieve ECGs from sensors, classify and detect abnormal signs.
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