Literature DB >> 23925363

Estimating the Universal Positions of Wireless Body Electrodes for Measuring Cardiac Electrical Activity.

Ivan Tomasić, Sabina Frljak, Roman Trobec.   

Abstract

A methodology is presented for estimating the wireless body electrode (WE) positions and for calculating the linear transformations that enable the synthesis of a 12-lead ECG or a multichannel ECG from three WEs, which in turn simplifies and improves the acquisition of ECGs. We present, compare, and evaluate three approaches to the synthesis: fully personalized, fully universal, and combined with universal leads and personalized transformations. The evaluation results show that WEs are an acceptable alternative to the standard 12-lead ECG device for patients with chronic myocardial ischemia, if either the fully personalized or combined approach is used. The median correlation coefficients are all higher than 0.94 and 0.92 for the fully personalized and combined approaches, respectively. The corresponding kappa and percentual diagnostic agreements between the synthesized and target 12-lead ECGs are 0.88 (95%) and 0.83 (92%), respectively. The evaluation additionally shows that the personalization of the transformations has more impact on the quality of the synthesized ECGs than the personalization of the WEs' positions.

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Year:  2013        PMID: 23925363     DOI: 10.1109/TBME.2013.2276291

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

Review 1.  Continuous remote monitoring of COPD patients-justification and explanation of the requirements and a survey of the available technologies.

Authors:  Ivan Tomasic; Nikica Tomasic; Roman Trobec; Miroslav Krpan; Tomislav Kelava
Journal:  Med Biol Eng Comput       Date:  2018-03-05       Impact factor: 2.602

2.  Reconstruction of 12-Lead Electrocardiogram from a Three-Lead Patch-Type Device Using a LSTM Network.

Authors:  Jangjay Sohn; Seungman Yang; Joonnyong Lee; Yunseo Ku; Hee Chan Kim
Journal:  Sensors (Basel)       Date:  2020-06-09       Impact factor: 3.576

3.  Power Autonomy Estimation of Low-Power Sensor for Long-Term ECG Monitoring.

Authors:  Klemen Bregar; Tomaž Krištofelc; Matjaž Depolli; Viktor Avbelj; Aleksandra Rashkovska
Journal:  Sensors (Basel)       Date:  2022-07-06       Impact factor: 3.847

4.  Medical-Grade ECG Sensor for Long-Term Monitoring.

Authors:  Aleksandra Rashkovska; Matjaž Depolli; Ivan Tomašić; Viktor Avbelj; Roman Trobec
Journal:  Sensors (Basel)       Date:  2020-03-18       Impact factor: 3.576

  4 in total

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