| Technical validation of ARTSENS–An image free device for evaluation of vascular stiffness J Joseph, R Radhakrishnan, S Kusmakar, AS Thrivikraman, ... IEEE Journal of Translational Engineering in Health and Medicine 3, 1-13, 2015 | 42 | 2015 |
| Automatic detection and classification of convulsive psychogenic nonepileptic seizures using a wearable device J Gubbi, S Kusmakar, AS Rao, B Yan, T O’Brien, M Palaniswami IEEE journal of biomedical and health informatics 20 (4), 1061-1072, 2015 | 34 | 2015 |
| Automated detection of convulsive seizures using a wearable accelerometer device S Kusmakar, CK Karmakar, B Yan, TJ O’Brien, R Muthuganapathy, ... IEEE Transactions on Biomedical Engineering 66 (2), 421-432, 2018 | 26 | 2018 |
| Detection of generalized tonic-clonic seizures using short length accelerometry signal S Kusmakar, CK Karmakar, B Yan, TJ O'Brien, R Muthuganapathy, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 12 | 2017 |
| Gaussian mixture model for the identification of psychogenic non-epileptic seizures using a wearable accelerometer sensor S Kusmakar, R Muthuganapathy, B Yan, TJ O'Brien, M Palaniswami 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 12 | 2016 |
| The utility of an automated and ambulatory device for detecting and differentiating epileptic and psychogenic non‐epileptic seizures VD Naganur, S Kusmakar, Z Chen, MS Palaniswami, P Kwan, TJ O'Brien Epilepsia open 4 (2), 309-317, 2019 | 9 | 2019 |
| Novel features for capturing temporal variations of rhythmic limb movement to distinguish convulsive epileptic and psychogenic nonepileptic seizures S Kusmakar, C Karmakar, B Yan, R Muthuganapathy, P Kwan, TJ O'Brien, ... Epilepsia 60 (1), 165-174, 2019 | 8 | 2019 |
| Identifying smoker subgroups with high versus low smoking cessation attempt probability: A decision tree analysis approach HH Yong, C Karmakar, R Borland, S Kusmakar, M Fuller-Tyszkiewicz, ... Addictive behaviors 103, 106258, 2020 | 6 | 2020 |
| Classification of convulsive psychogenic non-epileptic seizures using muscle transforms obtained from accelerometry signal S Kusmakar, J Gubbi, B Yan, TJ O'Brien, M Palaniswami 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 4 | 2015 |
| Machine learning enabled team performance analysis in the dynamical environment of soccer S Kusmakar, S Shelyag, Y Zhu, D Dwyer, P Gastin, M Angelova IEEE Access 8, 90266-90279, 2020 | 2 | 2020 |
| Improved Detection and Classification of Convulsive Epileptic and Psychogenic Non-epileptic Seizures Using FLDA and Bayesian Inference S Kusmakar, CK Karmakar, B Yan, TJ O’Brien, M Palaniswami, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 2 | 2018 |
| Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals S Kusmakar, J Gubbi, AS Rao, B Yan, TJ O'Brien, M Palaniswami 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 2 | 2015 |
| A machine learning model for multi-night actigraphic detection of chronic insomnia: development and validation of a pre-screening tool S Kusmakar, C Karmakar, Y Zhu, S Shelyag, SPA Drummond, JG Ellis, ... Royal Society open science 8 (6), 202264, 2021 | | 2021 |
| Onset detection of epileptic seizures from accelerometry signal S Kusmakar, CK Karmakar, B Yan, TJ O'Brien, R Muthuganapathy, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | | 2018 |
| Non-invasive convulsive seizure assessment using wearable accelerometer device S Kusmakar | | 2018 |
| Skeletal approach to mandible reconstruction represented as an image S Kusmakar, R Muthuganapathy Computer-Aided Design and Applications 12 (5), 639-650, 2015 | | 2015 |
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
