K-NN based algorithm for degree of stenosis classification using dual non-invasive photoplethysmography system

Autor:	Alphin Stephanus, Yi Chun Du
Rok vydání:	2020
Předmět:	History Degree (graph theory) business.industry Photoplethysmogram Non invasive Medicine Stenosis classification business Algorithm Computer Science Applications Education Dual (category theory)
Zdroj:	Journal of Physics: Conference Series. 1450:012052
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1450/1/012052
Popis:	Haemodialysis (HD) patients who undergo long-term treatment are very susceptible to arterial stenosis. In this study, we propose two main features taken from patients undergoing the dialysis process, namely: Rising Slope – RS and Falling Slope - FS. These features are yielded from a photoplethysmography signal extraction on the hand that is used to create vascular access called HD hand. Eleven dialysis patients with the arteriovenous fistula (AVF) method were the object of this study. The feature data was taken twice, before and after the dialysis process. Utilizing the t-test on the variance of RS features on the HD hand showed a statistically significant value of 0.0211 (p
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7c6ee51cdea415157ce1a912d7b5ed49 https://doi.org/10.1088/1742-6596/1450/1/012052 Zobrazit plný text záznamu