SPHE-Match: Semi-supervised Prototype-aware Hierarchical Embedding Matching approach for classifying Sleep Apnea events using single-lead Electrocardiogram

Engineering Applications of Artificial Intelligence 2026

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Authors: Soumyajit Gayen, Nalla Maheswara Rao, Deepak Kumar Sahu, Arya Bhardwaj, Pradeep Kumar, J. Sivaraman, Kunal Pal, Bala Chakravarthy Neelapu
DOI: 10.1016/j.engappai.2026.114207
Cited by: 0
References: 34

Fields of Study & Subjects

ECG Monitoring and Analysis Obstructive Sleep Apnea Research Non-Invasive Vital Sign Monitoring

Publication details

Journal / source
Engineering Applications of Artificial Intelligence
Volume
170
Pages
114207–114207
Publication date
16 February 2026
Language
EN