Home > School of Medical Science and Technology > Manjunatha Mahadevappa
Professor
School of Medical Science and Technology
To develop advanced medical instrumentation and technologies to study the cortical signals at the whole brain - with the goal of translating the work into practical research and clinical use in stroke, incomplete spinal cord injury, cerebral palsy, and ALS. Our team members include independent and entrepreneurial group of under graduate and post graduate students, and research scholars who base their research on modern microfabrication, electrophysiology, signal processing, image processing and elctronic integrated circuit design technologies. Our collaborations are national clinical research hospital & laboratories to startup entrepreneurs, non-government organizations interested in translating the technology from bench-to-bedside.
A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT by Boda S., Mahadevappa M., Dutta P.K. Biomedical Signal Processing and Control 67 - (2021)
Cisplatin based Electrochemotherapy Significantly Downregulates Key Heat Shock Proteins in MDA MB 231 Human Triple Negative Breast Cancer Cells by Sundararajan R., Giri P. , Madhivanan S. , Ramesh A. , Kishore N. K., Mahadevappa M. , Camarillo I. G. Vol.:(0123456789)Applied Biochemistry and Biotechnology - (2021)
Design, Development, and Clinical Evaluation of the Electronic Mobility Cane for Vision Rehabilitation by Shripad Bhatlawande , Manjunatha Mahadevappa , Jayanta Mukherjee , Mukul Biswas, Debabrata Das, and Somedeb Gupta TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING IEEE Inc., Publisher Vol. 22, No.6 pp1148-59 (2014)
Electronic Bracelet and Vision Enabled Waist-belt for Mobility of Visually Impaired People by Shripad Bhatlawande, Amar Sunkari, *Manjunatha Mahadevappa, Jayanta Mukhopadhyay, Mukul Biswas, Debabrata Das and Somedeb Gupta Assistive Technology The Official Journal of RESNA: http://dx.doi.org/10.1080/10400435.2014.915896; Vol. 26, Issue 4 p186-195 (2014)
An electro-oculogram based vision system for grasp assistive devices A proof of concept study by Roy R., Mahadevappa M., Nazarpour K. Sensors 21 - (2021)
Ventricle shape analysis using modified WKS for atrophy detection by Thirumagal J., Mahadevappa M., Sadhu A., Dutta P.K. Medical and Biological Engineering and Computing 59 1485-1493 (2021)
DRG-NET: A graph neural network for computer-aided grading of diabetic retinopathy by Salam A.A., Mahadevappa M., Das A., Nair M.S. Signal, Image and Video Processing - (2022)
AI-powered, OCT-based, early diagnosis of ophthalmic diseases via a mobile app IIT KHARAGPUR AI4ICPS I HUB FOUNDATION
Sharique Ali Asghar
Area of Research: Energy Management System
Karri Karthik
Area of Research: Optical Coherence Tomogram (OCT) image analysis for retinal disease detection/classification
Shatakshi Singh
Area of Research: Biomedical Signal and Image Processing
Chiranjib Bhowmick
Area of Research: Biomedical Signal and Image Processing
Nimmalapalli Gowtham Reddy
Area of Research: Multi criteria decision making and its applications in health care
Ishita Maiti
Area of Research: Medical Image Analysis
Pallab Das
Area of Research: Biomedical Signal Processing
Eashita Chowdhury
Area of Research: Biomedical Embedded Systems and Bio-signal Processing
Arita Halder
Area of Research: AI and Radiomics in Cancer Radiotherapy
Madhuparna Das
Area of Research: Biomedical Signal and Image Processing
Uttaran Bhattacharjee
Area of Research: Biomedical Embedded Systems and Bio-signal Processing
