Improved EASI coefficients: Their derivation, values, and performance

Feild, Dirk Q.; Feldman, Charles L.; ek, B.Milan Hor

doi:10.1054/jelc.2002.37151

Cited by 78 publications

(32 citation statements)

References 10 publications

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“…Тому одним із ключових завдань безпровідного ЕКГ-моніторингу є розробка доступного та зручного приладу, що дасть можливість спостерігати в реальному часі ЕКГ із 12 стандартних відведень. На сучасному етапі ця проблема вирішується запровадженням комп'ютеризованих алгоритмів, що реконструюють відсутні відведення [24,25].…”

Section: розвиток телеметричного екг-моніторингуunclassified

Екг-Діагностика: Від Ейнтховена До Сучасного Серцевого Моніторингу

Savchak¹,

Dziuba²,

Лоскутов³

2021

ЕМ

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У статті йдеться про історію розвитку електрокардіографії та застосування її принципів у сучасній медицині. На сьогодні вона є невід’ємною складовою діагностики хворих із серцевою патологією та моніторингу пацієнтів із високим кардіальним ризиком. Більше ніж 100-літню історію розвитку електрокардіографії та серцевого моніторингу можна умовно розділити на чотири часові періоди.

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Section: розвиток телеметричного екг-моніторингуunclassified

Екг-Діагностика: Від Ейнтховена До Сучасного Серцевого Моніторингу

Savchak¹,

Dziuba²,

Лоскутов³

2021

ЕМ

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“…We used the four input channels available from our device to construct an EASI [13] array to obtain a derived 12-lead ECG signal. The positioning and transformation coefficients were taken from [13].…”

Section: Ecg Experimentsmentioning

confidence: 99%

Wireless non-contact cardiac and neural monitoring

Kang

et al. 2010

Wireless Health 2010

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Ubiquitous physiological monitoring will be a key driving force in the upcoming wireless health revolution. Cardiac and brain signals in the form of ECG and EEG are two critical health indicators that directly benefit from long-term monitoring. Despite advancements in wireless technology and electronics miniaturization, however, the use of wireless home ECG/EEG monitoring is still limited by the inconvenience and discomfort of wet adhesive electrodes.We have developed a wireless biopotential instrumentation system using non-contact capacitive electrodes that operate without skin contact. The sensors can be embedded within comfortable layers of fabric for unobtrusive use. All of the issues relating to the design of low noise, high performance capacitive sensors are discussed along with full technical details, circuit schematics and construction techniques.The non-contact electrode has been integrated into both a wearable ECG chest harness as well a EEG headband. We have also designed a compact, battery-powered, wireless data acquisition system to interface with multiple electrodes and monitor patient cardiac and neural signals in real time. Experimental data shows that the non-contact capacitive electrode perform comparable to Ag/AgCl electrodes using our special chest harness and head bands to ensure tight, movement-free electrode positioning.

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“…For the evaluation of the 12-lead ECG reconstruction from a limited set of leads, we focused on five available limited lead systems [2,3,4,5,6] as presented in Table 1. For the reconstruction coefficients that were not publicly disclosed, coefficients were calculated from a learning set of 2372 10-second ECG recordings [3].…”

Section: -Lead Ecg Reconstructionmentioning

confidence: 99%

“…Well-known standard configurations are the 12-lead ECG used for routine cardiac diagnosis and body surface potential maps (BPSMs) used to measure the full electrical activity on the body surface. These 12-lead and BSPM configurations contain redundant information and in the past various strategies based on limited or alternative lead sets have been proposed [1,2,3,4,5,6,7]. The purpose of this study is to evaluate the use of limited leads for reconstruction of the 12-lead ECG and BSPMs.…”

mentioning

confidence: 99%

Evaluation of limited and alternative lead sets for the reconstruction of the 12-Lead electrocardiogram and Body Surface Potential Maps

Nelwan

Finlay

Meij

et al. 2007

2007 Computers in Cardiology

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In this study we evaluate limited lead sets for the reconstruction of 12-lead ECGs and Body Surface Potential Maps (BSPMs). For 12-lead ECG reconstruction, we focused on four available limited lead systems (V 2 , V 1 V 5 , V 1 V 6 , V 2 V 5 ) to derive the standard 12-lead ECG and the EASI lead system as an alternative to the existing 12-lead ECG. We used a data set of 44 continuous 16-lead balloon inflation ECG registrations during percutaneous coronary interventions. For reconstruction of BSPMs an optimal lead selection algorithm was applied to a set of 744 BSPMs, consisting of recordings from subjects with myocardial infarction, left ventricular hypertrophy, and no apparent disease.Median Root Mean Square (RMS) error for 12-lead ECG reconstruction were in decreasing order: V 1 V 6 : 165 µV, V2 131 µV, V1V5: 124 µV, EASI: 96 µV, and V2V5: 87 µV. In the BSPM reconstruction experiments, it was shown that by repositioning the six precordial leads the RMS error decreased from 35.4 µV to 26.7 µV.In summary, the results from this study have indicated that limited lead systems offer potential in all forms of cardiac monitoring and assessment, but certain lead sets show higher reconstruction errors. IntroductionElectrocardiograms (ECGs) measured from numerous sites on the body can provide a comprehensive representation of the underlying cardiac activity. Well-known standard configurations are the 12-lead ECG used for routine cardiac diagnosis and body surface potential maps (BPSMs) used to measure the full electrical activity on the body surface. These 12-lead and BSPM configurations contain redundant information and in the past various strategies based on limited or alternative lead sets have been proposed [1,2,3,4,5,6,7]. The purpose of this study is to evaluate the use of limited leads for reconstruction of the 12-lead ECG and BSPMs. Methods 12-lead ECG reconstructionFor the evaluation of the 12-lead ECG reconstruction from a limited set of leads, we focused on five available limited lead systems [2,3,4,5,6] as presented in Table 1. For the reconstruction coefficients that were not publicly disclosed, coefficients were calculated from a learning set of 2372 10-second ECG recordings [3]. We used EASI coefficients corrected for the proximal placement of the limb electrodes [8]. The five limited lead systems were evaluated on a separate data set of 44 continuous 16-lead ECG recordings obtained from patients undergoing a percutaneous coronary intervention at the Durham VA Medical Center (Durham, NC, USA). Informed consent was obtained from each patient. A total of 14 radiolucent electrodes were attached to each patient to allow simultaneous registration of the 12-lead and EASI ECG. Limb electrodes were placed on the Mason-Likar landmarks [8] and the six electrodes (V 1 -V 6 ) were placed at the conventional precordial lead locations. The remaining four electrodes were placed at the EASI electrode locations.For each recording, a 10-second, 16-lead ECG was marked at balloon inflation and extracted for further ana...

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Improved EASI coefficients: Their derivation, values, and performance

Cited by 78 publications

References 10 publications

Екг-Діагностика: Від Ейнтховена До Сучасного Серцевого Моніторингу

Екг-Діагностика: Від Ейнтховена До Сучасного Серцевого Моніторингу

Wireless non-contact cardiac and neural monitoring

Evaluation of limited and alternative lead sets for the reconstruction of the 12-Lead electrocardiogram and Body Surface Potential Maps

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