| Monitoring methods of human body joints: State-of-the-art and research challenges AI Faisal, S Majumder, T Mondal, D Cowan, S Naseh, MJ Deen Sensors 19 (11), 2629, 2019 | 191 | 2019 |
| Insole-based systems for health monitoring: Current solutions and research challenges S Subramaniam, S Majumder, AI Faisal, MJ Deen Sensors 22 (2), 438, 2022 | 93 | 2022 |
| Wearable sensor systems for fall risk assessment: A review S Subramaniam, AI Faisal, MJ Deen Frontiers in digital health 4, 921506, 2022 | 70 | 2022 |
| A simple, low-cost multi-sensor-based smart wearable knee monitoring system AI Faisal, S Majumder, R Scott, T Mondal, D Cowan, MJ Deen IEEE Sensors Journal 21 (6), 8253-8266, 2020 | 33 | 2020 |
| Characterization of knee and gait features from a wearable tele-health monitoring system AI Faisal, T Mondal, D Cowan, MJ Deen IEEE Sensors Journal 22 (6), 4741-4753, 2022 | 15 | 2022 |
| Evaluating the Efficacy of Large Language Models for Systematic Review and Meta-Analysis Screening R Luo, Z Sastimoglu, AI Faisal, MJ Deen medRxiv, 2024.06. 03.24308405, 2024 | 2 | 2024 |
| Systematic development of a simple human gait index AI Faisal, T Mondal, MJ Deen IEEE reviews in biomedical engineering 17, 229-242, 2023 | 2 | 2023 |
| Wearable PPG Based BP Estimation Methods: A Systematic Review and Meta-Analysis Z Sastimoglu, S Subramaniam, AI Faisal, W Jiang, A Ye, MJ Deen IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| Development of a Low-Cost and Easy-to-Use Wearable Knee Joint Monitoring System AI Faisal | | 2020 |
| Sensor Systems Integration Characterization of Knee and Gait Features From a Wearable Tele-Health Monitoring System AI Faisal, T Mondal, D Cowan, MJ Deen | | |
MJ DeenDistinguished University Professor, McMaster UniversityEmail verificata su mcmaster.ca
