Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Prasadraju Lakkamraju"'
Publikováno v:
IEEE Access, Vol 8, Pp 32776-32782 (2020)
This paper presents an approach of apt prognostic diagnostics of cardiac health by using Artificial Intelligence (AI) in safety-related based non-invasive bio-medical systems. This approach addresses the existing challenge in identification of the ac
Externí odkaz:
https://doaj.org/article/54eb83b9b04448d0bdff27efeaa02cf1
Publikováno v:
Frontiers in Medical Technology, Vol 3 (2021)
The study focuses on the extraction of cardiac sound components using a multi-channel micro-electromechanical system (MEMS) microphone-based phonocardiography system. The proposed multi-channel phonocardiography system classifies the cardiac sound co
Externí odkaz:
https://doaj.org/article/ca28ef7eb0bb482599b1f6fb3e946822
Publikováno v:
Frontiers in Medical Technology, Vol 3 (2021)
The study presents a novel design method that improves system availability using fault-tolerant features in a non-invasive medical diagnostic system. This approach addresses the effective detection of functional faults, improves the uninterruptible s
Externí odkaz:
https://doaj.org/article/67dea4059ca84bd2961c5a8a32d8be57
Publikováno v:
IEEE Access, Vol 8, Pp 32776-32782 (2020)
This paper presents an approach of apt prognostic diagnostics of cardiac health by using Artificial Intelligence (AI) in safety-related based non-invasive bio-medical systems. This approach addresses the existing challenge in identification of the ac
Publikováno v:
Frontiers in Medical Technology, Vol 3 (2021)
Frontiers in Medical Technology
Frontiers in Medical Technology
The study presents a novel design method that improves system availability using fault-tolerant features in a non-invasive medical diagnostic system. This approach addresses the effective detection of functional faults, improves the uninterruptible s
Publikováno v:
Frontiers in Medical Technology
Frontiers in Medical Technology, Vol 3 (2021)
Frontiers in Medical Technology, Vol 3 (2021)
The study focuses on the extraction of cardiac sound components using a multi-channel micro-electromechanical system (MEMS) microphone-based phonocardiography system. The proposed multi-channel phonocardiography system classifies the cardiac sound co