Trends in biomedical signal feature extraction S Krishnan, Y Athavale Biomedical Signal Processing and Control 43, 41-63, 2018 | 172 | 2018 |
Biosignal monitoring using wearables: Observations and opportunities Y Athavale, S Krishnan Biomedical Signal Processing and Control 38, 22-33, 2017 | 110 | 2017 |
A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals Y Athavale, S Krishnan Biomedical Signal Processing and Control 55, 101580, 2020 | 27 | 2020 |
Identifying the potential for failure of businesses in the technology, pharmaceutical and banking sectors using kernel-based machine learning methods Y Athavale, S Krishnan, P Hosseinizadeh, A Guergachi 2009 IEEE International Conference on Systems, Man and Cybernetics, 1073-1077, 2009 | 20 | 2009 |
A device-independent efficient actigraphy signal-encoding system for applications in monitoring daily human activities and health Y Athavale, S Krishnan Sensors 18 (9), 2966, 2018 | 16 | 2018 |
Advanced signal analysis for the detection of periodic limb movements from bilateral ankle actigraphy Y Athavale, S Krishnan, DD Dopsa, AG Berneshawi, H Nouraei, A Raissi, ... Journal of sleep research 26 (1), 14-20, 2017 | 16 | 2017 |
Actigraphic detection of periodic limb movements: development and validation of a potential device-independent algorithm. A proof of concept study Y Athavale, S Krishnan, A Raissi, N Kirolos, T Jairam, BJ Murray, ... Sleep 42 (9), zsz117, 2019 | 9 | 2019 |
Technology for continuous long-term monitoring of pregnant women for safe childbirth GK Endo, I Oluwayomi, V Alexandra, Y Athavale, S Krishnan 2017 IEEE Canada International Humanitarian Technology Conference (IHTC), 6-10, 2017 | 6 | 2017 |
Classification of periodic leg movements through actigraphy signal analysis Y Athavale, M Boulos, BJ Murray, S Krishnan CMBES Proceedings 39, 2016 | 4 | 2016 |
Pattern classification of time-series signals using Fisher kernels and support vector machines YR Athavale Toronto Metropolitan University, 2010 | 4 | 2010 |
Time–frequency distributions in biomedical signal processing Y Athavale, S Krishnan Elsevier, 2019 | 3 | 2019 |
Towards a low-cost point-of-care screening platform for electronic auscultation of vital body sounds U Mayat, F Qureshi, S Ahmed, Y Athavale, S Krishnan 2017 IEEE Canada International Humanitarian Technology Conference (IHTC), 1-5, 2017 | 3 | 2017 |
An integrated biosignals wearable system for low-cost blood pressure monitoring A Almahouzi, T Alnaser, S Tiraci, Y Athavale, S Krishnan 2017 IEEE Canada International Humanitarian Technology Conference (IHTC), 16-20, 2017 | 3 | 2017 |
System and method for compressing and segmenting activity data in real-time S Krishnan, Y Athavale US Patent App. 17/312,799, 2022 | 1 | 2022 |
Integrated Signal Encoding and Analysis System for Actigraphy-based Long-term Monitoring of Periodic Limb Movements in Sleep Y Athavale, S Krishnan, A Raissi, N Kirolos, BJ Murray, MI Boulos 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 1 | 2018 |
Pattern classification of signals using fisher kernels Y Athavale, S Krishnan, A Guergachi Mathematical Problems in Engineering 2012 (1), 467175, 2012 | 1 | 2012 |
Analysis of the economic sustainability of companies in the water sector L Halachev, A Guergachi, Y Athavale, S Krishnan | 1 | 2010 |
Actigraphy Signal Analysis System for Sleep and Wake Studies Y Athavale Toronto Metropolitan University, 0 | | |