Clinical Evaluation of a Mobile Heart Rhythm Telemonitoring System

Mateev, Hristo; Симова, Яна; Katova, T.; Dimitrov, Nikolay

doi:10.5402/2012/192670

Cited by 10 publications

(9 citation statements)

References 16 publications

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“…The heart rate monitoring was registered by the TEMEO system (Security Solutions Institute, Bulgaria, patent 1375/2010) [10]. The system recorded the R-R intervals with a precision of 1 msec.…”

Section: Heart Rate Monitoringmentioning

confidence: 99%

Internet of Things Platform Supporting Mobility of Disabled Learners

Glushkova¹,

Stoyanov²,

Попчев³

2019

Int J Bioautomation

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Aim of the study was to determine physical activity's part of daily energy expenditure by heart rate monitoring and using data to control athletes' nutritional intake. Group of 10 male and 4 female wrestlers (age = 21 ± 1.8) at national level, who train 15 hours per week served as subjects in this investigation. The 72-hour HR recording was performed with a TEMEO cardiotelemetric system (made in Bulgaria). The energy expenditure during physical activity is determined by Method 1 of Hiilloskorpi et al. (2003). The determined daily energy expenditure is compared to the theoretically calculated. The deference is less than 100 kcal, but if subjects change the intensity, volume or duration of the workouts or increase their number, the difference will be much more evident.

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Section: Heart Rate Monitoringmentioning

confidence: 99%

Internet of Things Platform Supporting Mobility of Disabled Learners

Glushkova¹,

Stoyanov²,

Попчев³

2019

Int J Bioautomation

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“…Telemonitoring was performed with a system, validated versus standard ECG and Holter ECG [10] and consisting of a mobile handheld device for recording and transmitting data and an elastic belt, placed on the chest, for registering precordial electrical activity of the heart and detecting R-R intervals. Data from the belt is transmitted wirelessly to the mobile device.…”

Section: Telemonitoringmentioning

confidence: 99%

“…The electronic center consists of a server with developed software for automatic RR interval analysis [10,11] for rhythm detection (including atrial fibrillation), heart rate and premature beats. The algorhythms and software have been validated during development and afterwards on MIT ECG database.…”

Section: Telemonitoringmentioning

confidence: 99%

Remote ECG Interpretation: Guidelines and their Implementation

Симова

Predovski

Christov

et al. 2017

Computing in Cardiology Conference (CinC)

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Objective: e-Health is a relatively new medical trend, already finding place in clinical practice guidelines. Clinical cardiologists, however, are still not comfortable enough with interpreting, assessing and refining alarms and other information received remotely, in their practice.Prolonged ECG monitoring in stroke survivors enables the detection of episodes of silent atrial fibrillation (AF). Our aim in the present study is to prove the usefulness of e-Health implementation to detect silent AF in stroke survivors, as recommended in recent guidelines.Methods and results: We prospectively included 54 patients (mean age 54±15 years, 17% women) with cryptogenic stroke, without previously documented episodes of AF. We performed remote ECG monitoring for 22 days (range: 13-36 days). AF was detected in 14 patients (26%), mostly asymptomatic (64%) which prompted initiation of anticoagulation therapy. The mean time from initiation of telemonitoring to AF detection was 10 days (2-29 days).Conclusion: e-Health implementation via remote ECG monitoring, as recommended by recent ESC guidelines, is a very useful and easily applicable medical tool, enabling AF detection in at least one in every four stroke patients.

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“…To tackle the issue in WLAN, researches on cellular network based telemedicine were raised. Authors in [5][6][7][8] present a cellular network based telemedicine system. The advantages of cellular based telemedicine system are that it supports high mobility and offers large service coverage.…”

Section: Introductionmentioning

confidence: 99%

A Vertical Handover Management for Mobile Telemedicine System using Heterogeneous Wireless Networks

Yew¹,

Supriyanto²,

Satria³

et al. 2016

ijacsa

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Abstract-Application of existing mobile telemedicine system is restricted by the imperfection of network coverage, network capacity, and mobility. In this paper, a novel telemedicine based handover decision making (THODM) algorithm is proposed for mobile telemedicine system using heterogeneous wireless networks. The proposed algorithm select the best network based on the services requirement to ensure the connected or targeted network candidate has sufficient capacity for supporting the telemedicine services. The simulation results show that the proposed algorithm minimizes the number of unnecessary handover to WLAN in high speed environment. The throughput achieved by the proposed algorithm is up to 75% and 205% higher than Cellular and RSS based schemes, respectively. Moreover, the average data transmission cost of THODM algorithm is 24% and 69.2% lower than the Cellular and RSS schemes. The proposed algorithm minimizes the average transmission cost while maintaining the telemedicine service quality at the highest level in high speed environment.

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Clinical Evaluation of a Mobile Heart Rhythm Telemonitoring System

Cited by 10 publications

References 16 publications

Internet of Things Platform Supporting Mobility of Disabled Learners

Internet of Things Platform Supporting Mobility of Disabled Learners

Remote ECG Interpretation: Guidelines and their Implementation

A Vertical Handover Management for Mobile Telemedicine System using Heterogeneous Wireless Networks

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