Publications

Heart Rate Variability

  • S. Venkat et al., "Heart Rate Variability Analysis During Exercise in Hypoxia Chamber," 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1-6, doi: 10.1109/MeMeA49120.2020.9137314. [LINK]
     

  • A. A. S. et al., "Electrodermal Activity Based Pre-surgery Stress Detection Using a Wrist Wearable," in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 1, pp. 92-100, Jan. 2020, doi: 10.1109/JBHI.2019.2893222. [LINK]
     

  • S. Amalan, B. Vaishali, P. S.P., J. Joseph and M. Sivaprakasam, "Pre-surgery Stress Monitoring Using Heart Rate Variability Measures," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 4592-4595, doi: 10.1109/EMBC.2019.8856409. [LINK]
     

  • B. Vaishali, S. Amalan, S. P. Preejith, J. Joseph and M. Sivaprakasam, "HRV based Stress Assessment of Individuals in a Work Environment," 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1-6, doi: 10.1109/MeMeA49120.2020.9137299. [LINK]
     

  • S. Amalan et al., "Electrodermal Activity based Classification of Induced Stress in a Controlled Setting," 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018, pp. 1-6, doi: 10.1109/MeMeA.2018.8438703. [LINK]
     

  • S. P. Preejith, R. Dhinesh, J. Joseph and M. Sivaprakasam, "Wearable ECG platform for continuous cardiac monitoring," 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 623-626, doi: 10.1109/EMBC.2016.7590779. [LINK]

Motion Capture & Gait

  • D. R., P. S.P. and M. Sivaprakasam, "Ride Profiling for a Single Speed Bicycle Using an Inertial Sensor," 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019, pp. 1-6, doi: 10.1109/MeMeA.2019.8802138. [LINK]
     

  • R. Dhinesh, S. P. Preejith and M. Sivaprakasam, "Tennis serve correction using a performance improvement platform," 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH), 2018, pp. 1-7, doi: 10.1109/SeGAH.2018.8401370. [LINK]
     

  • D. R., M. Naheem, S. Khandelwal, P. S.P., J. Joseph and M. Sivaprakasam, "Fall Detection Using Kinematic Features from a Wrist-Worn Inertial Sensor," 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019, pp. 1-6, doi: 10.1109/MeMeA.2019.8802211. [LINK]

Blood Oxygenation

  •  Preejith S P, R. Hajare, J. Joseph and M. Sivaprakasam, "High altitude study on finger reflectance SpO2," 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2017, pp. 198-203, doi: 10.1109/MeMeA.2017.7985875. [LINK]
     

  • S. Vijayarangan, P. Suresh, P. SP, J. Joseph and M. Sivaprakasam, "Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 374-377, doi: 10.1109/EMBC44109.2020.9176410. [LINK]
     

  • A. P. S. Mohamed Tanveejul et al., "A Study on the Subject and Location Specificity in Reflectance based SpO2 Estimation using R-value based Calibration Curve," 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, pp. 1-6, doi: 10.1109/MeMeA49120.2020.9137227. [LINK]
     

  • S. Venkat et al., "Machine Learning based SpO2 Computation Using Reflectance Pulse Oximetry," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 482-485, doi: 10.1109/EMBC.2019.8856434. [LINK]
     

  • T. P. Kakarla, K. A. Varma, P. S.P., J. Joseph and M. Sivaprakasam, "Accuracy Enhancement of Total Force by Capacitive Insoles," 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019, pp. 1-6, doi: 10.1109/MeMeA.2019.8802146. [LINK]
     

  • A. C. Ganesh et al., "Post-Stroke Rehabilitation Monitoring Using Wireless Surface Electromyography: A Case Study," 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018, pp. 1-6, doi: 10.1109/MeMeA.2018.8438806. [LINK]
     

  • K. A. et al., "Reflectance Pulse Oximetry for Blood Oxygen Saturation Measurement from Diverse Locations-A Preliminary Analysis," 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018, pp. 1-6, doi: 10.1109/MeMeA.2018.8438781. [LINK]
     

  • S. P. Preejith, A. Alex, J. Joseph and M. Sivaprakasam, "Design, development and clinical validation of a wrist-based optical heart rate monitor," 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016, pp. 1-6, doi: 10.1109/MeMeA.2016.7533786. [LINK]
     

  • S. Karthik, M. Sivaprakasam, J. Joseph and S. P. Preejith, "A reflectance photoplethysmography based device to detect circulatory disruptions," 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016, pp. 1-6, doi: 10.1109/MeMeA.2016.7533789. [LINK]
     

  • S. P. Preejith, A. S. Ravindran, R. Hajare, J. Joseph and M. Sivaprakasam, "A wrist worn SpO2 monitor with custom finger probe for motion artifact removal," 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 5777-5780, doi: 10.1109/EMBC.2016.7592040. [LINK]

Deep Learning Models for Wearables

  • S. Vijayarangan, B. Murugesan, R. Vignesh, S. Preejith, J. Joseph and M. Sivaprakasam, "Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 300-303, doi: 10.1109/EMBC44109.2020.9176396. [LINK]
     

  • S. Vijayarangan, V. R., B. Murugesan, P. S.P., J. Joseph and M. Sivaprakasam, "RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 345-348, doi: 10.1109/EMBC44109.2020.9176084. [LINK]
     

  • V. Ravichandran et al., "Deep Network for Capacitive ECG Denoising," 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019, pp. 1-6, doi: 10.1109/MeMeA.2019.8802155. [LINK]
     

  • V. Ravichandran et al., "RespNet: A deep learning model for extraction of respiration from photoplethysmogram," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 5556-5559, doi: 10.1109/EMBC.2019.8856301. [LINK]
     

  • A. Shyam, V. Ravichandran, S. P. Preejith, J. Joseph and M. Sivaprakasam, "PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 1899-1902, doi: 10.1109/EMBC.2019.8856989. [LINK]
     

  • B. Murugesan et al., "ECGNet: Deep Network for Arrhythmia Classification," 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018, pp. 1-6, doi: 10.1109/MeMeA.2018.8438739. [LINK]