Your browser doesn't support javascript.
Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal.
Mahmud, Talha Ibn; Imran, Sheikh Asif; Shahnaz, Celia.
  • Mahmud T; Department of Electrical and Electronic EngineeringBangladesh University of Engineering and Technology (BUET) Dhaka 1205 Bangladesh.
  • Imran SA; Department of Electrical and Electronic EngineeringBangladesh University of Engineering and Technology (BUET) Dhaka 1205 Bangladesh.
  • Shahnaz C; Department of Electrical and Electronic EngineeringBangladesh University of Engineering and Technology (BUET) Dhaka 1205 Bangladesh.
IEEE J Transl Eng Health Med ; 10: 4901409, 2022.
Article in English | MEDLINE | ID: covidwho-2121341
ABSTRACT
Determining the severity level of hypoxemia, the scarcity of saturated oxygen (SpO2) in the human body, is very important for the patients, a matter which has become even more significant during the outbreak of Covid-19 variants. Although the widespread usage of Pulse Oximeter has helped the doctors aware of the current level of SpO2 and thereby determine the hypoxemia severity of a particular patient, the high sensitivity of the device can lead to the desensitization of the care-givers, resulting in slower response to actual hypoxemia event. There has been research conducted for the detection of severity level using various parameters and bio-signals and feeding them in a machine learning algorithm. However, in this paper, we have proposed a new residual-squeeze-excitation-attention based convolutional network (Res-SE-ConvNet) using only Photoplethysmography (PPG) signal for the comfortability of the patient. Unlike the other methods, the proposed method has outperformed the standard state-of-art methods as the result shows 96.5% accuracy in determining 3 class severity problems with 0.79 Cohen Kappa score. This method has the potential to aid the patients in receiving the benefit of an automatic and faster clinical decision support system, thus handling the severity of hypoxemia.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Photoplethysmography / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: IEEE J Transl Eng Health Med Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Photoplethysmography / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: IEEE J Transl Eng Health Med Year: 2022 Document Type: Article