| Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ... Journal of medical Internet research 18 (12), e323, 2016 | 860 | 2016 |
| Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings AH Khandoker, M Palaniswami, CK Karmakar IEEE transactions on information technology in biomedicine 13 (1), 37-48, 2008 | 445 | 2008 |
| C-reactive protein concentrations across the mood spectrum in bipolar disorder: a systematic review and meta-analysis BS Fernandes, J Steiner, ML Molendijk, S Dodd, P Nardin, CA Gonçalves, ... The Lancet Psychiatry 3 (12), 1147-1156, 2016 | 255 | 2016 |
| Complex correlation measure: a novel descriptor for Poincaré plot CK Karmakar, AH Khandoker, J Gubbi, M Palaniswami Biomedical engineering online 8, 1-12, 2009 | 233 | 2009 |
| Poincaré plot methods for heart rate variability analysis AH Khandoker, C Karmakar, M Brennan, M Palaniswami, A Voss Springer US, 2013 | 178 | 2013 |
| Ensemble empirical mode decomposition with principal component analysis: A novel approach for extracting respiratory rate and heart rate from photoplethysmographic signal MA Motin, CK Karmakar, M Palaniswami IEEE journal of biomedical and health informatics 22 (3), 766-774, 2017 | 132 | 2017 |
| Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea AH Khandoker, CK Karmakar, M Palaniswami Medical engineering & physics 33 (2), 204-209, 2011 | 123 | 2011 |
| Heart rate variability alterations in late life depression: A meta-analysis L Brown, C Karmakar, R Gray, R Jindal, T Lim, C Bryant Journal of affective disorders 235, 456-466, 2018 | 114 | 2018 |
| Detection of epileptic seizure based on entropy analysis of short-term EEG P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu PloS one 13 (3), e0193691, 2018 | 114 | 2018 |
| 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 | 96 | 2018 |
| Sensitivity of temporal heart rate variability in Poincaré plot to changes in parasympathetic nervous system activity CK Karmakar, AH Khandoker, A Voss, M Palaniswami Biomedical engineering online 10, 1-14, 2011 | 95 | 2011 |
| Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings AH Khandoker, CK Karmakar, M Palaniswami Computers in Biology and Medicine 39 (1), 88-96, 2009 | 94 | 2009 |
| Investigating scale invariant dynamics in minimum toe clearance variability of the young and elderly during treadmill walking AH Khandoker, SB Taylor, CK Karmakar, RK Begg, M Palaniswami IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (4 …, 2008 | 94 | 2008 |
| A survey on anomalous behavior detection for elderly care using dense-sensing networks S Deep, X Zheng, C Karmakar, D Yu, LGC Hamey, J Jin IEEE Communications Surveys & Tutorials 22 (1), 352-370, 2019 | 85 | 2019 |
| Remote health diagnosis and monitoring in the time of COVID-19 JA Behar, C Liu, K Kotzen, K Tsutsui, VDA Corino, J Singh, MAF Pimentel, ... Physiological measurement 41 (10), 10TR01, 2020 | 82 | 2020 |
| Classification of 5-S epileptic EEG recordings using distribution entropy and sample entropy P Li, C Karmakar, C Yan, M Palaniswami, C Liu Frontiers in physiology 7, 136, 2016 | 81 | 2016 |
| Detection of respiratory arousals using photoplethysmography (PPG) signal in sleep apnea patients C Karmakar, A Khandoker, T Penzel, C Schöbel, M Palaniswami IEEE journal of biomedical and health informatics 18 (3), 1065-1073, 2013 | 80 | 2013 |
| A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection H Li, X Wang, C Liu, Q Zeng, Y Zheng, X Chu, L Yao, J Wang, Y Jiao, ... Computers in biology and medicine 120, 103733, 2020 | 78 | 2020 |
| Selection of empirical mode decomposition techniques for extracting breathing rate from PPG MA Motin, CK Karmakar, M Palaniswami IEEE Signal Processing Letters 26 (4), 592-596, 2019 | 75 | 2019 |
| Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning BS Fernandes, C Karmakar, R Tamouza, T Tran, J Yearwood, N Hamdani, ... Translational psychiatry 10 (1), 162, 2020 | 62 | 2020 |