| CorNET: Deep learning framework for PPG-based heart rate estimation and biometric identification in ambulant environment D Biswas, L Everson, M Liu, M Panwar, BE Verhoef, S Patki, CH Kim, ... IEEE transactions on biomedical circuits and systems 13 (2), 282-291, 2019 | 264 | 2019 |
| PP-Net: A deep learning framework for PPG-based blood pressure and heart rate estimation M Panwar, A Gautam, D Biswas, A Acharyya IEEE Sensors Journal 20 (17), 10000-10011, 2020 | 158 | 2020 |
| CNN based approach for activity recognition using a wrist-worn accelerometer M Panwar, SR Dyuthi, KC Prakash, D Biswas, A Acharyya, K Maharatna, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 139 | 2017 |
| Rehab-net: Deep learning framework for arm movement classification using wearable sensors for stroke rehabilitation M Panwar, D Biswas, H Bajaj, M Jöbges, R Turk, K Maharatna, ... IEEE Transactions on Biomedical Engineering 66 (11), 3026-3037, 2019 | 130 | 2019 |
| MyoNet: A transfer-learning-based LRCN for lower limb movement recognition and knee joint angle prediction for remote monitoring of rehabilitation progress from sEMG A Gautam, M Panwar, D Biswas, A Acharyya IEEE journal of translational engineering in health and medicine 8, 1-10, 2020 | 91 | 2020 |
| BiometricNet: Deep learning based biometric identification using wrist-worn PPG L Everson, D Biswas, M Panwar, D Rodopoulos, A Acharyya, CH Kim, ... 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 69 | 2018 |
| K-nearest neighbor based methodology for accurate diagnosis of diabetes mellitus M Panwar, A Acharyya, RA Shafik, D Biswas 2016 sixth international symposium on embedded computing and system design …, 2016 | 45 | 2016 |
| Locomo-net: a low-complex deep learning framework for sEMG-based hand movement recognition for prosthetic control A Gautam, M Panwar, A Wankhede, SP Arjunan, GR Naik, A Acharyya, ... IEEE Journal of Translational Engineering in Health and Medicine 8, 1-12, 2020 | 32 | 2020 |
| Modified distributed arithmetic based low complexity CNN architecture design methodology M Panwar, J Padmini, A Acharyya, D Biswas 2017 European Conference on Circuit Theory and Design (ECCTD), 1-4, 2017 | 17 | 2017 |
| CardioNet: Deep learning framework for prediction of CVD risk factors M Panwar, A Gautam, R Dutt, A Acharyya 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 13 | 2020 |
| M2DA: a low-complex design methodology for convolutional neural network exploiting data symmetry and redundancy M Panwar, N Sri Hari, D Biswas, A Acharyya Circuits, Systems, and Signal Processing 40 (3), 1542-1567, 2021 | 3 | 2021 |
| PPG-Based Non-invasive Methodologies for Pervasive Monitoring of Vitals: BP and HR M Panwar, A Gautam, A Acharyya Wearable/Personal Monitoring Devices Present to Future, 87-99, 2022 | 2 | 2022 |
| Non-invasive Blood Glucose Estimation Methodology Using Predictive Glucose Homeostasis Models M Panwar, A Acharyya, RA Shafik 2018 8th International Symposium on Embedded Computing and System Design …, 2018 | 2 | 2018 |
| Shape memory effect of nano-ferromagnetic particle doped NiTi for orthopedic devices and rehabilitation techniques A Gautam, A Balouria, A Acharyya, SG Acharyya, M Panwar, GR Naik 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 2 | 2017 |
| S1 New Trends in the Theory and Applications of CNN M Panwar, J Padmini, N Venkatasubrahmanian, A Acharyya, D Biswas, ... | | |
