Abstract
Acute and chronic syndromes account for ~50% of the estimated 500,000 cardiovascular deaths annually in the United States and similarly in densely populated countries as India. More than 100 years after its invention, surface electrocardiogram introduced by William Einthoven is still the most common fundamental technique and the gold standard for diagnosis, prognosis, screening and evaluating heart disease for many clinical conditions. Progress in wearable diagnostic devices have made possible low-cost, convenient and 24 × 7 point-of-care healthcare; however, their use is still limited to clinical diagnostic measurements. The main gap is the electrode placement at the correct intended location to realize high sensitivity with accurate waveform reconstruction. To achieve a precision of less than 1cm placement accuracy in precordial electrodes placement and to obtain consistent intra- and inter-observer results for avoiding wrong diagnosis, an interactive image-processing software has been developed in this work. We aim to provide a self-operable solution for placing non-contact wearable sensors without any medical assistance and generate repeatable and reproducible interpretations to get the best results.
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This research was funded by WSU Office of Research and by Chhattisgarh Government Department of Science and Technology, India.
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Shashank, K., Arslan Ay, S., Fulzele, A., Ram, R.C., Hu, H., Gupta, S. (2018). Precise Placement of Precordial Electrodes with +/−0.5 cm Accuracy for Recording ECG in Self-operable Diagnostic Devices. In: Duffy, V., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2017. Advances in Intelligent Systems and Computing, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-319-60483-1_55
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DOI: https://doi.org/10.1007/978-3-319-60483-1_55
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