Výsledky vyhledávání - "Tripti R Kulkarni"

Akademický článek

Early and noninvasive screening of common cardio vascular related diseases such as diabetes and cerebral infarction using photoplethysmograph signals

Autor: Tripti R Kulkarni, N.D. Dushyanth

Publikováno v: Results in Optics, Vol 3, Iss , Pp 100062- (2021)

It is significant to detect the inability of the heart at its early stage, because most of the deaths in all over the world is due to cardiovascular diseases (CVD) (Atlas of Diabetes, 2012). This paper presents a novel learning technique; utilizing K

Externí odkaz: https://doaj.org/article/b20fb34e69a948949cd5a25b7303fa29

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Survey on Surface Disinfection Robot Using UV Light and Liquid Sanitizer

Autor: Sai Kiran M Venkat, Tripti R Kulkarni, Karan Abrol, Karthik K, K Lukesh Reddy

Publikováno v: Journal of Control System and Control Instrumentation. 8:31-35

An Ultraviolet (UV) based sterilization technique acts as a useful aid in pruning the growth of microorganisms that usually persists on the surfaces after the usual procedure of cleaning and sanitizing. A UV robot is being developed for sterilization

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54b549d94b55368b902637436e659d54
https://doi.org/10.46610/jocsaci.2022.v08i03.002

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Real Time Prosthetic Hand

Autor: Tripti R Kulkarni, Vinayak Bhat

Publikováno v: Journal of Embedded Systems and Processing. 7:1-5

Electromyography (EMG) is a biomedical signal which is recorded from muscle. It can detect muscle movements. By using HMI (human machine interfacing), EMG can be used to control prosthetic arms by an amputee individual. A 3D printable design for a my

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9007d5fa5531a6668f6bb3648104f2a9
https://doi.org/10.46610/joesp.2022.v07i03.001

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Performance evaluation of deep learning models in detection of different types of arrhythmia using photo plethysmography signals

Autor: N. D. Dushyanth, Tripti R. Kulkarni

Publikováno v: International Journal of Information Technology. 13:2209-2214

Millions of people around the world suffer from cardiac Arrhythmia. Most Arrhythmias may increase risk of heart failure or stroke, about 80% of all deaths caused by sudden cardiac arrest is due to Arrhythmia. Most Arrhythmias do not show marked sympt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef20a1020a74d66cb50b61e30992cd4d
https://doi.org/10.1007/s41870-021-00795-8

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