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A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson.
Kota, Venkata Deepa; Sharma, Himanshu; Albert, Mark V; Mahbub, Ifana; Mehta, Gayatri; Namuduri, Kamesh.
Affiliation
  • Kota VD; Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA.
  • Sharma H; Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA.
  • Albert MV; Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA.
  • Mahbub I; Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Mehta G; Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA.
  • Namuduri K; Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA.
Sensors (Basel) ; 23(4)2023 Feb 17.
Article in En | MEDLINE | ID: mdl-36850868
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Heart Arrest Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: United States Country of publication: Switzerland
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Heart Arrest Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: United States Country of publication: Switzerland