Dr Snekhalatha Umapathy
vidwan id: 306352
Professor, Department of Biomedical Engineering - KTR
S R M Institute of Science & Technology, Chennai
Expertise
- Biomedical Engineering
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Scopus
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15
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Citations
530
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12
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Bio
Medical Image processing, Biomedical Signal Processing, Deep learning techniques
Personal Details
- Female
- Professor , S R M Institute of Science & Technology, Chennai
- Biomedical Engineering department, SRM Institute of science and Technology
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Co-Authors (20)
S R M Institute of Science & Technology, Chennai
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Jadavpur University
S R M Institute of Science & Technology, Chennai
Anna University
National Institute of Technology Rourkela
Karunya Institute of Technology and Sciences, Coimbatore
National Institute of Technology, Raipur
St. Josephs College of Engineering
Central Electrochemical Research Institute
S R M Institute of Science & Technology, Chennai
S R M Institute of Science & Technology, Chennai
S R M Institute of Science & Technology, Chennai
Bharath Institute of Higher Education & Research
Bharath Institute of Higher Education & Research
KPR Institute of Engineering and Technology
Anna University
S R M Institute of Science & Technology, Chennai
National Institute of Technology Tiruchirappalli
S R M Institute of Science & Technology, Chennai
Scholarly Work
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Design of Acetone breath gas analyzer in the evaluation of diabetes Mellitus”
Facial and Tongue Infrared thermography: A Non-invasive Prognostic tool for Pre-screening the type-II diabetes Mellitus
Deep Learning and Quantum Computing Based Evaluation of Rheumatoid Arthritis Using Hand X-Ray And Thermal Images
A Device For Non-Invasive Screening of Thyroid Disorders Patent
SRM Institute of Science and Technology
An Audiometer
SRM Institute of Science and Technology
A Portable Instrument for determining fat and water in Mass
SRM Institute of Science and Technology
An Instrument for Determination of Acetone in Exhaled Air
SRM Institute of Science and Technology
Scholarly Publications
Adsorption kinetics feature extraction from breathprint obtained by graphene based sensors for diabetes diagnosis
Open Access
10.1088/1752-7163/abc09b
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