ECG signal acquisition and analysis for telemonitoring

Plesnik, Emil; Malgina, Olga; Tasič, J.F.; Zajc, Matej

doi:10.1109/melcon.2010.5475990

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…Ten years later, a survey [9] lists nine BAN projects, five of which include ECG devices. Meanwhile, many research studies produce detailed designs of BANs [10][11][12] targeting local area networks, and therefore confined in a room or a building.…”

Section: Related Work and Results Summarymentioning

confidence: 99%

Design of an Open Remote Electrocardiogram (ECG) Service

Ciuffoletti

2019

Future Internet

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Currently, the deployment of services for real-time delivery of an electrocardiogram to a remote site has a cost that prevents its widespread diffusion, which would contribute to saving lives with prevention, assistance and rescue efficiency. To fill this gap, we introduce the design of a remote electrocardiogram service that privileges open, low-cost options. The architecture is based on the HyperText Transfer Protocol (HTTP) and uses commercial off-the-shelf devices to implement the sensor on the patient’s side. The doctor uses a laptop browser to display the tracing, and a cloud computing instance connects the two using WebSockets. A prototype is built to evaluate overall performance, the power consumption of the patient’s side device, and the quality of rendering on doctor’s browser. The patient’s sensor prototype device is portable, and its power consumption is below 1 Watt, thus allowing a daylong autonomy when operated on batteries. Its cost is below 50$, and the required hardware is commercially available. The whole design is ready for on-field evaluation, and it is available in a public repository.

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Section: Related Work and Results Summarymentioning

confidence: 99%

Design of an Open Remote Electrocardiogram (ECG) Service

Ciuffoletti

2019

Future Internet

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“…Згодом цей метод активно розвивався в численних публікаціях інших авторів, зокрема, у працях [8][9][10][11][12][13][14][15][16], а також у наших власних дослідженнях [17,18], про які йтиметься далі. Друга гіпотеза, яка визначала діагностичні можливості когнітивного образу, активно розвивалася в наступних науково-дослідних працях МННЦ ІТіС, які також привернули увагу інших розробників засобів медичної техніки в Україні [19,20], Росії [21], Ізраїлі [22] та Словенії [23].…”

Section: базові гіпотези та передумовиunclassified

Years of Experience in Creating and Implementing Intellectual it for Processing of Complex Form Biomedical Signals

Fainzilberg¹

2022

Control syst. comput.

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Introduction. An important area of modern information technology application is medical diagnostics, which is based on computer processing of biomedical signals The purpose of the article is to provide information on the results of basic and applied research that has ensured the practical implementation of the ECG method (fasegraphy method) in various fields of application and to outline further prospects for these studies. Methods. The technology is based on a stochastic model of generating an artificial signal of complex shape in terms of internal and external distortions. Results. It is shown that the efficiency in extracting diagnostic information from biomedical signals in conditions of the real distortions, which are not always additive in nature, can be increased by switching from a scalar signal in the time domain to a cognitive image in the phase plane. Original algorithms of adaptive filtering and smoothing have been developed, which made it possible to obtain a numerical estimate of the first derivative of the distorted signal. Recovery of the useful signal (reference cycle) for distorted implementations is carried out by averaging the phase trajectories with the subsequent return to the time domain. To increase the reliability of additional diagnostic features of the ECG in the phase space is proposed and clinical data have proven their usefulness in terms of reducing the risk of misdiagnosis. The practical results of the implementation of the diagnostic complex FASEGRAF® have confirmed the effectiveness of fasegraphy in various fields of application. Plans for further prospective research are presented. Conclusions. Continuation of research allow to create new competitive information technologies and digital medicine devices.

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“…Therefore, prevention and treatment of cardiovascular disorders remains its significance in global health issues. With the development of telemedicine, mobile phone based telecardiology has been technologically available for real-time patient monitoring (Louis et al, 2003;Sufi et al, 2006;Lee et al, 2007;Lazarus, 2007;Chaudhry et at., 2007;Plesnik et al, 2010), which is becoming increasingly popular among CVD patients and cardiologists. In a telecardiology application, the patient's Electrocardiographic (ECG) signal is collected from the patient's body which can be immediately transmitted to the mobile phone (shown in Fig.…”

Section: Ecg Biometrics For Mobile Phone Based Telecardiologymentioning

confidence: 99%