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Preejith Sreeletha Premkumar
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- affiliation: Indian Institute of Technology, Healthcare Technology Innovation Centre, Madras, India
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2020 – today
- 2024
- [c68]Rahul GS, Janak Dave, Preejith SP, Mohanasankar Sivaprakasam:
Design and Characterisation of Stereo Endoscope for Polyp Size Measurement. MeMeA 2024: 1-6 - [c67]Shrihari Nair, Dhinesh R, Sricharan Vijayarangan, Preejith S. P, Mohanasankar Sivaprakasam:
A Hybrid Approach to Estimate Vertical Oscillation Using a Chest-Worn Accelerometer Device. MeMeA 2024: 1-6 - [c66]Shubham Sharma, Janak Dave, A Maheswari, Preejith SP, Mohanasankar Sivaprakasam:
Characterization of Blue Light Imaging for Early Cancer Detection: Validation and in Vivo Feasibility Study. MeMeA 2024: 1-6 - [c65]Mridula Badrinarayanan, V. Sricharan, Rohan R. Jais, N. Danush Adhithya, G. Sri Gayathri, S. P. Preejith, Mohanasankar Sivaprakasam:
Evaluating the Utility of a Cardiac Health Assessment Test in Predicting VO2max Obtained from CPET: A Pilot Study. SeGAH 2024: 1-8 - [c64]T. Arya Sree, J. Yogeshwaran, V. Sricharan, S. P. Preejith, Mohanasankar Sivaprakasam:
Enhancing Heart Rate Variability Assessment: A User-Centric Approach with Interactive Mobile Interface. SeGAH 2024: 1-7 - 2023
- [j6]Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
A Multifunctional Network with Uncertainty Estimation and Attention-Based Knowledge Distillation to Address Practical Challenges in Respiration Rate Estimation. Sensors 23(3): 1599 (2023) - [j5]Vaishali Balakarthikeyan, Rohan R. Jais, Sricharan Vijayarangan, Preejith Sreeletha Premkumar, Mohanasankar Sivaprakasam:
Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models. Sensors 23(6): 3251 (2023) - [j4]Nishitha Ravichandran, Preejith Sreeletha Premkumar, Mohanasankar Sivaprakasam:
Methodological Considerations for Assessing Automatic Brightness Control in Endoscopy: Experimental Study. Sensors 23(10): 4932 (2023) - [c63]Janak Dave, Sneha Chand, Rahul G. S., A. Antony Raj, Preejith SP, Mohanasankar Sivaprakasam:
Multispectral Imaging for Vein Localization and Contrast Enhancement. EMBC 2023: 1-4 - [c62]Ajay Kumar Gurrala, Rahul G. S., Preejith S. P, Mohanasankar Sivaprakasam:
Improving Endoscopic Image Quality through the Use of High Dynamic Range Imaging-Like Method with Real-Time Performance. EMBC 2023: 1-4 - [c61]Sneha Chand, A. Antony Raj, Preejith SP, Mohanasankar Sivaprakasam:
Investigating Effective Spectral Bands for Tissue Visualization in Oral Mucosa. MeMeA 2023: 1-6 - [c60]Janak Dave, Sneha Chand, Rahul G. S., A. Antony Raj, S. P. Preejith, Mohanasankar Sivaprakasam:
Statistical Analysis of Multispectral NIR Images for Vein Detection. MeMeA 2023: 1-5 - [c59]Ajay Kumar Gurrala, Rahul G. S., Amalan Sebastin, S. P. Preejith, Mohanasankar Sivaprakasam:
Eliminating Vertical Fixed Pattern Noise in CMOS-Based Endoscopic Images using Modified Dark Frame Subtraction. MeMeA 2023: 1-6 - [c58]Aishwarya Ranbhor PT, S. P. Preejith, Mohanasankar Sivaprakasam:
Normative Values of Heart Rate Variability During Sleep in Indian Population. MeMeA 2023: 1-5 - [c57]Dhinesh R, S. P. Preejith, Mohanasankar Sivaprakasam:
Understanding the Effects of a Real-time Motion Capture System with Voice Feedback for Tennis Toss Training. MeMeA 2023: 1-6 - [c56]Svasti Seetharam Upadhyaya, S. P. Preejith, Mohanasankar Sivaprakasam:
Effects of Caffeine Supplementation on Short-term Heart Rate Variability. MeMeA 2023: 1-5 - [c55]Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam:
SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction. MILLanD@MICCAI 2023: 138-147 - [i10]Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam:
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction. CoRR abs/2308.04262 (2023) - 2022
- [j3]A. S. Anusha, S. P. Preejith, Tony J. Akl, Mohanasankar Sivaprakasam:
Electrodermal activity based autonomic sleep staging using wrist wearable. Biomed. Signal Process. Control. 75: 103562 (2022) - [c54]Swaathi Venkat, Preejith SP, Mohanasankar Sivaprakasam:
Comparative Analysis of Resting Heart Rate Measurement at Multiple Instances in a Single Day. EMBC 2022: 824-827 - [c53]A. Antony Raj, Amalan Sebastin, Navin Subbu, Preejith SP, Mohanasankar Sivaprakasam:
Enhanced Vascular Features in Porcine Gastrointestinal Endoscopy Using Multispectral Imaging. EMBC 2022: 2228-2231 - [c52]Ragu B, A. Antony Raj, Rahul G. S., Sneha Chand, Preejith SP, Mohanasankar Sivaprakasam:
XP-NET: An Attention Segmentation Network By Dual Teacher Hierarchical Knowledge Distillation For Polyp Generalization. EndoCV@ISBI 2022: 46-51 - [c51]Vaishali Balakarthikeyan, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
A Comparative Study of Heart Rate Variability Methods for Stress Detection. MeMeA 2022: 1-6 - [c50]Sneha Chand, A. Antony Raj, Amalan Sebastin, Preejith SP, Mohanasankar Sivaprakasam:
Identifying Oral Cancer Using Multispectral Snapshot Camera. MeMeA 2022: 1-6 - [c49]Lavanya Govindan, Vaishali Balakarthikeyan, Sujithra Srinivas, Sricharan Vijayarangan, Cassia Zuleira, Preejith SP, Mohanasankar Sivaprakasam:
Heart Rate Variability of Healthcare Workers during Covid-19. MeMeA 2022: 1-6 - [c48]Vaibhav Joshi, V. Sricharan, S. P. Preejith, Mohanasankar Sivaprakasam:
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation. MeMeA 2022: 1-6 - [c47]Aishwarya Ranbhor PT, Preejith S. P, Mohanasankar Sivaprakasam:
Effect of Minimal Lifestyle Modification on Resting Heart Rate in Corporate Employees. MeMeA 2022: 1-6 - [c46]Nishitha R, Amalan Sebastin, Preejith S. P, Mohanasankar Sivaprakasam:
Identification of Structures to Perform Image Quality Assessment in Real-Time Endoscopy Imaging. MeMeA 2022: 1-6 - [c45]Nishitha R, Amalan Sebastin, Shubham Sharma, S. P. Preejith, Mohanasankar Sivaprakasam:
Image Quality Assessment for Interdependent Image Parameters Using a Score-Based Technique for Endoscopy Applications. MeMeA 2022: 1-6 - [c44]A. Antony Raj, Amalan Sebastin, Navin R, Preejith SP, Mohanasankar Sivaprakasam:
Multispectral Image Analysis of Vasculatures in Sublingual Mucosa. MeMeA 2022: 1-5 - [c43]Sangeetha Thukkaram, Preejith S. P, Mohanasankar Sivaprakasam:
Identification of Effective Indicators of Parasympathetic Activity using Deep Breathing Technique on Corporate Employees. MeMeA 2022: 1-6 - [c42]Lavanya Govindan, Vaishali Balakarthikeyan, V. Sricharan, S. P. Preejith, Mohanasankar Sivaprakasam:
Impact of Posture on Heart Rate Variability of Individuals under Mental Workload Conditions. SeGAH 2022: 1-7 - [c41]Kapil Singh Rathore, V. Sricharan, S. P. Preejith, Mohanasankar Sivaprakasam:
MRNet - A Deep Learning Based Multitasking Model for Respiration Rate Estimation in Practical Settings. SeGAH 2022: 1-6 - [c40]Kapil Singh Rathore, B. Vaishali, Deepak Vagish, V. Sricharan, S. P. Preejith, Mohanasankar Sivaprakasam:
Utility of Breathing Rate in Estimation of Ventilatory Thresholds. SeGAH 2022: 1-6 - [c39]Swaathi Venkat, Dhinesh Ramasamy, Sricharan Vijayarangan, Deepak Vagish, Teja Prakash Kakarla, S. P. Preejith, Mohanasankar Sivaprakasam:
Lifestyle Assessment of Large Scale Population using Repose - A Heart Rate Variability based Lifestyle Assessment Platform. SeGAH 2022: 1-8 - [i9]Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation. CoRR abs/2211.13125 (2022) - 2021
- [c38]Nishitha R, Amalan Sebastin, Shubham Sharma, Ajay Kumar Gurrala, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Image Quality Assessment for Endoscopy Applications. MeMeA 2021: 1-6 - [c37]A. Antony Raj, Vaishali Balakarthikeyan, Deepak Vagish, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
Statistical Analysis of Mental Stress During Oral Presentation. MeMeA 2021: 1-6 - [c36]Arsath P. S. Mohamed Tanveejul, R. Vishakh Maheswar, A. Vikraman, Dhinesh R, S. P. Preejith, Mohanasankar Sivaprakasam:
Shot-wise Heart Rate Variability Analysis on Cricket Players. SEGAH 2021: 1-7 - [i8]Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging. CoRR abs/2112.07252 (2021) - [i7]Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
A Deep Learning Based Multitask Network for Respiration Rate Estimation - A Practical Perspective. CoRR abs/2112.09071 (2021) - 2020
- [j2]A. S. Anusha, Sukumaran P., Sarveswaran V., Surees Kumar S., Shyam A, Tony J. Akl, Preejith Sreeletha Premkumar, Mohanasankar Sivaprakasam:
Electrodermal Activity Based Pre-surgery Stress Detection Using a Wrist Wearable. IEEE J. Biomed. Health Informatics 24(1): 92-100 (2020) - [c35]Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. EMBC 2020: 300-303 - [c34]Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. EMBC 2020: 345-348 - [c33]Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation. EMBC 2020: 374-377 - [c32]Vaishali Balakarthikeyan, Amalan Sebastin, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
HRV based Stress Assessment of Individuals in a Work Environment. MeMeA 2020: 1-6 - [c31]Arsath P. S. Mohamed Tanveejul, Alex Annamol, S. P. Preejith, D. J. Christopher, T. Balamugesh, Sujith Chandy, Jayaraj Joseph, Mohanasankar Sivaprakasam:
A Study on the Subject and Location Specificity in Reflectance based SpO2 Estimation using R-value based Calibration Curve. MeMeA 2020: 1-6 - [c30]Swaathi Venkat, Preejith S. P, Vignesh Moorthy, S. Arumugam, Vasanthi, Thiagarajan K. A, Mohanasankar Sivaprakasam:
Heart Rate Variability Analysis During Exercise in Hypoxia Chamber. MeMeA 2020: 1-6 - [i6]Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. CoRR abs/2004.05399 (2020) - [i5]Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation. CoRR abs/2004.06301 (2020) - [i4]Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. CoRR abs/2004.08103 (2020)
2010 – 2019
- 2019
- [c29]Swaathi Venkat, Mohamed Tanveejul Arsath P. S., Alex Annamol, Preejith Sreeletha Premkumar, T. Balamugesh, D. J. Christopher, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Machine Learning based SpO2 Computation Using Reflectance Pulse Oximetry. EMBC 2019: 482-485 - [c28]Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. EMBC 2019: 1899-1902 - [c27]Amalan Sebastin, Vaishali Balakarthikeyan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Pre-surgery Stress Monitoring Using Heart Rate Variability Measures. EMBC 2019: 4592-4595 - [c26]Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. EMBC 2019: 5556-5559 - [c25]Teja Prakash Kakarla, Kolukuluri Akhil Varma, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Accuracy Enhancement of Total Force by Capacitive Insoles. MeMeA 2019: 1-6 - [c24]Dhinesh R, Minhas Naheem, Shubham Khandelwal, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Fall Detection Using Kinematic Features from a Wrist-Worn Inertial Sensor. MeMeA 2019: 1-6 - [c23]Dhinesh R, Preejith S. P, Mohanasankar Sivaprakasam:
Ride Profiling for a Single Speed Bicycle Using an Inertial Sensor. MeMeA 2019: 1-6 - [c22]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. MeMeA 2019: 1-6 - [i3]Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. CoRR abs/1902.04236 (2019) - [i2]Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. CoRR abs/1903.08912 (2019) - [i1]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. CoRR abs/1903.12536 (2019) - 2018
- [j1]Payal Mohapatra, Preejith Sreeletha Premkumar, Mohanasankar Sivaprakasam:
A Yellow-Orange Wavelength-Based Short-Term Heart Rate Variability Measurement Scheme for Wrist-Based Wearables. IEEE Trans. Instrum. Meas. 67(5): 1091-1101 (2018) - [c21]A. Antony Raj, S. P. Preejith, Vijai Shankar Raja, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Clinical Validation of a Wearable Respiratory Rate Device for Neonatal Monitoring. EMBC 2018: 1628-1631 - [c20]Amalan Sebastin, Shyam A, Anusha AS, Preejith SP, Tony J. Akl, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Electrodermal Activity based Classification of Induced Stress in a Controlled Setting. MeMeA 2018: 1-6 - [c19]A. S. Anusha, S. P. Preejith, Tony J. Akl, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Dry Electrode Optimization for Wrist-based Electrodermal Activity Monitoring. MeMeA 2018: 1-6 - [c18]Arvind C. Ganesh, B. S. Renganathan, C. Rajakumaran, S. P. Preejith, Khandelwal Shubham, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Post-Stroke Rehabilitation Monitoring Using Wireless Surface Electromyography: A Case Study. MeMeA 2018: 1-6 - [c17]A. Kiruthiga, Alex Annamol, T. Balamugesh, R. Dinesh Prabhu, D. J. Christopher, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Reflectance Pulse Oximetry for Blood Oxygen Saturation Measurement from Diverse Locations-A Preliminary Analysis. MeMeA 2018: 1-6 - [c16]Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam:
ECGNet: Deep Network for Arrhythmia Classification. MeMeA 2018: 1-6 - [c15]Dhinesh R, S. P. Preejith, Mohanasankar Sivaprakasam:
Tennis serve correction using a performance improvement platform. SeGAH 2018: 1-7 - 2017
- [c14]A. S. Anusha, Jose Joy, Preejith Sreeletha Premkumar, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Differential effects of physical and psychological stressors on electrodermal activity. EMBC 2017: 4549-4552 - [c13]A. S. Anusha, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Design and implementation of a hand-to-hand multifrequency bioimpedance measurement scheme for Total Body Water estimation. I2MTC 2017: 1-6 - [c12]Payal Mohapatra, S. P. Preejith, Mohanasankar Sivaprakasam:
A novel sensor for wrist based optical heart rate monitor. I2MTC 2017: 1-6 - [c11]Renganathan B. S, Preejith Sreeletha Premkumar, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam:
System design to prevent Ventilator Associated Pneumonia. MeMeA 2017: 165-170 - [c10]Preejith Sreeletha Premkumar, Ahamed Jeelani, Paresh Maniyar, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Accelerometer based system for continuous respiratory rate monitoring. MeMeA 2017: 171-176 - [c9]Ganesh Raam K, Ahamed Jeelani, Preejith Sreeletha Premkumar, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Design, development and clinical validation of a novel urine output monitor. MeMeA 2017: 188-192 - [c8]Preejith Sreeletha Premkumar, Rohan Hajare, Jayaraj Joseph, Mohanasankar Sivaprakasam:
High altitude study on finger reflectance SpO2. MeMeA 2017: 198-203 - 2016
- [c7]S. P. Preejith, Dhinesh R, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Wearable ECG platform for continuous cardiac monitoring. EMBC 2016: 623-626 - [c6]B. S. Renganathan, S. P. Preejith, Sridhar Nagaiyan, Jayaraj Joseph, Mohanasankar Sivaprakasam:
A novel system to tackle hospital acquired pressure ulcers. EMBC 2016: 4780-4783 - [c5]S. P. Preejith, Akshay S. Ravindran, Rohan Hajare, Jayaraj Joseph, Mohanasankar Sivaprakasam:
A wrist worn SpO2 monitor with custom finger probe for motion artifact removal. EMBC 2016: 5777-5780 - [c4]A. S. Anusha, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Design and preliminary analysis of a multifrequency bioimpedance measurement scheme. MeMeA 2016: 1-6 - [c3]Srinivasa Karthik, Mohanasankar Sivaprakasam, Jayaraj Joseph, S. P. Preejith:
A reflectance photoplethysmography based device to detect circulatory disruptions. MeMeA 2016: 1-6 - [c2]S. P. Preejith, Alex Annamol, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Design, development and clinical validation of a wrist-based optical heart rate monitor. MeMeA 2016: 1-6 - 2014
- [c1]S. P. Preejith, Mohanasankar Sivaprakasam, Jaichandran Venkatakrishnan:
An ocular compression device for reduction of elevated post anesthetic intraocular pressure. EMBC 2014: 4819-4822
Coauthor Index
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