Anti-Jamming Algorithm for Detection of QRS and ST Segments on Electrocardiogram

Detalles Bibliográficos
Parent link:MATEC Web of Conferences
Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01029, 6 p.]
Autor Principal: Overchuk K. Kirill
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Кафедра промышленной и медицинской электроники (ПМЭ), Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Кафедра физических методов и приборов контроля качества (ФМПК)
Outros autores: Uvarov A. A. Aleksandr Andreevich, Lezhnina I. A. Inna Alekseevna
Summary:Title screen
As it was earlier described, capacitive electrodes could be widely used in electrocardiography, especially, in the state-of-the-art personal devices as they employ major advantages of these sensors. But such a way of electrocardiogram measurement usually generates quite noisy and unstable signals, which respectively must be processed with some anti-jamming algorithm. At the same time algorithm developers must take into account low computing power of portable personal devices, so designed methods must be “light” and “fast”. Such an algorithm is developed by authors and is further described in this paper.
Publicado: 2016
Subjects:
Acceso en liña:http://dx.doi.org/10.1051/matecconf/20167901029
http://earchive.tpu.ru/handle/11683/35259
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651533
Descripción
Summary:Title screen
As it was earlier described, capacitive electrodes could be widely used in electrocardiography, especially, in the state-of-the-art personal devices as they employ major advantages of these sensors. But such a way of electrocardiogram measurement usually generates quite noisy and unstable signals, which respectively must be processed with some anti-jamming algorithm. At the same time algorithm developers must take into account low computing power of portable personal devices, so designed methods must be “light” and “fast”. Such an algorithm is developed by authors and is further described in this paper.
DOI:10.1051/matecconf/20167901029