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RespNet: A deep learning model for extraction of respiration from photoplethysmogram., , , , , , , and . CoRR, (2019)RespNet: A deep learning model for extraction of respiration from photoplethysmogram., , , , , , and . EMBC, page 5556-5559. IEEE, (2019)PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram., , , , and . EMBC, page 1899-1902. IEEE, (2019)RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG., , , , , and . EMBC, page 345-348. IEEE, (2020)Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification., , , , , and . CoRR, (2020)Exploring the Impact of Parkinson's Medication Intake on Motor Exams Performed in-home Using Smart Gloves., , , , , and . BSN, page 1-4. IEEE, (2023)iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson's Disease., , , , , , , , and . Sensors, 23 (6): 2877 (March 2023)Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods., , , , , , and . IEEE Access, (2022)Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification., , , , , and . EMBC, page 300-303. IEEE, (2020)ECGNet: Deep Network for Arrhythmia Classification., , , , , , and . MeMeA, page 1-6. IEEE, (2018)