Division of Healthcare Advancement, Innovation and Research
The multidisciplinary division for Healthcare Advancement, Innovation and Research aims in bringing a fresh perspective to the challenges of embedding health and social care innovations, sustainability at large. We, actively, encompass to be at the forefront of cutting-edge advancements in teaching, training & research by setting an example in preserving lives & providing all technological solutions under one roof at an affordable cost. We bring together experts from a variety of disciplines across, including electronics engineers, bioengineers, computer scientists, chemists, healthcare Professionals and clinicians. Some of the thrust areas include bio-signals/bio-imaging, speech signal, developing biosensors, wearable technology, eHealth & telemedicine, non-invasive medical devices, rehabilitative and assistive device technology, BCI applications, biomechanics, biorobotics, bioinformatics, clinical support/data management system and also on developing computer-aided affordable diagnostic tools through technological intervention.
The key emphasis of research centre is:
- To strengthen innovation and technology in healthcare by focusing on signal and image processing solutions using artificial intelligence concepts, with prime focus on machine learning and deep learning technology.
- To bridge the gap between healthcare sciences and technology transformation by developing innovative products.
- To develop low-cost flexible novel 2D-nanomaterial-based biosensors with high sensitivity and theranostic agents for cancer imaging and targeting.
- To design affordable, rehabilitative assistive technology components and diagnostic tools for conducive healthcare solutions benefiting society at large.
Research
| S.NO | TITLE | NO. | DATE OF FILING | FILED BY |
| 1 | Biometric based personalized image cryptosystem | 202041040771 | 21-09-2020 |
R.Vijayarajan, N.Sangeetha, P.Gnanasivam |
| 2 | Drowsiness Detection for Taxi Drivers/ Long Haul Drivers | 202041040736 | 10-02-2020 |
Mr. Vemireddy Vaibhav Dr. John Sahaya Rani Alex |
| 3 | Speed of Sound based Capnographic Sensor using Virial Equation |
201841015926 A |
04/05/2018 |
Dr.M.Suchetha Ms.D.Bhagya |
| 4 |
Development of a Non-Invasive Detection and Classification System of five Types of Diabetes Through Breath
|
201841015927 A | 04/05/2018 |
Dr.M.Suchetha Ms.Lekha
|
| 5 | Method And Apparatus For Non-Invasive Detection of Chronic Kidney Disease by Monitoring Saliva Urea | 201841012758 A | 11/05/2018 |
Dr.M.Suchetha Mr.NavaneethBhaskar
|
| 6 | Method And Apparatus for Non-Invasive Detection of Five Types of Diabetes and Classification by Monitoring Sweat Concentration | 201841033749 A | 2/11/2018 |
Dr.M.Suchetha Mr. Sankar Narayanan
|
| S.No | Title | Funding Agency | Amount | Investigators | Duration |
| 1. | MST Radar Signal Processing using Variational Mode Decomposition based Adaptive Structures |
Indian Space Research Organisation (ISRO) |
Rs.28,42,000/- |
Dr.M.Suchetha Dr.AnaniahDurai |
2019-2021 (on-going) |
| 2 | Development of automated classification algorithm for studying cognitive behaviour from Scalp EEG signals | SEED Grant | Rs.3,00,000/- | Dr.M.Suchetha |
2019-2020 (on-going) |
2020
- NavaneethBhaskar., M.Suchetha., “Time Series Classification based Correlational Neural Network with Bidirectional LSTM for Automated Detection of Kidney Disease”., IEEE SENSORS Journal, 2020 (Accepted for publication) [IF: 3.076]
- S.Lekha.,M.Suchetha.,“Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non- Invasive Diabetes Diagnosis: A Review”, IEEE Reviews in Biomedical Engineering,2020 (DOI: 10.1109/RBME.2020.2993591)[IF: 6.180]
- Navaneeth., M.Suchetha., “A Dynamic Pooling based Convolutional Neural Network Approach to Detect Chronic Kidney Disease” Journal of Biomedical Signal processing and control, Vol.62, Sep 2020 (https://doi.org/10.1016/j.bspc.2020.102068) [IF: 3.341]
- V. Athanasiou, K. K. Tadi, M. Hurevich, S. Yitzchaik, A. Jesorka, Z. Kankoli, “On sensing principles using temporally extended bar codes”, IEEE Sensors, 2020, 20, 6782-2791 [IF-3.076]
- Bhagya., M.Suchetha., “A Capnographic Sensor using Acoustic Virial Equation for diagnostic applications” IEEE SENSORS Letters ,Vol.4,Issue:8, Aug 2020. [IF: 3.076]
| Faculty | Book Title/Chapter Name | ISBN no. | year | Publisher |
| Vijayarajan R, Sangeetha N, Karthik R, Kethepalli Mallikarjuna |
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments / Chapter 8: Performance Analysis of VGG19 Deep learning network based Brain Image Fusion |
9781799866 909 |
2020 |
DOI: 10.4018/978-1-7998-6690-9 IGI Global |
| Karthik.R, Nandana B, Mayuri Patil, Chandreyee Basu, Vijayarajan R |
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments / Chapter 15: Performance Analysis of GAN Architecture for Effective Facial Expression Synthesis |
9781799866 909 |
2020 |
DOI: 10.4018/978-1-7998-6690-9 IGI Global |
Insights
Research Scholars working in Centre
| 1. | Mr.Navaneeth Bhaskar |
| 2. | Ms.Bhagya D |
| 3. | Mr. Satheesh Kumar reddy C |
| 4. | Mr.Ranjith Kumar P |
| 5. | Ms. Smruthy A |
| 6. | Mr. Joseph Antony J |
| 7. | Ms. Nasheeda V P |
| 8. | Mr. Kantharao Kancharla |
| 9. | Mrs. Kavitha Rani T. |
| 10. | Mr. R.Manikandan |
| 11. | Mr. S.Sam Baskar Bagavathsingh |
| 12. | Ms.Gowri Prasood U |
| 13. | Mr.Edwin Dhas D |
Awards/Recognition
2020
| S.No. | Award/Recognition | Faculty | Agency | Year |
| 1. | Reviewer Recognition | Dr. Ilavarasi A K | Elsevier (Measurement) | 2020 |
| 2. | Reviewer Recognition | Dr.R.Vijayarajan | Elsevier (Biomedical signal processing and control) | 2020 |
| 3. | Reviewer Recognition | Dr. Kiran Kumar Tadi | Sens. Act. B/Elsevier | 2020 |
| 4. | Reviewer Recognition | Dr. Kiran Kumar Tadi | Journal of Fluorine Chemistry/Elsevier | 2020 |
2019
| S.No. | Award/Recognition | Faculty | Agency | Year |
| 1. |
IEEE Publication Award (4 medals for 4 papers) |
Dr.M.Suchetha | IEEE Madras | 2019 |
| 2. | Appreciation award | Dr.John Sahaya Rani Alex | IEEE SPS | 2019 |
2018
| S.No. | Award/Recognition | Faculty | Agency | Year |
| 1. | Young Researcher Award- Republic day Achievers Award | Dr.M.Suchetha | Intelligent Research India | 2018 |
| 2. | Fellowship | Dr.R.Vijayarajan | IETE | 2018 |
2017
| S.No. | Award/Recognition | Faculty | Agency | Year |
| 1. | Outstanding Professional award – Women Achievers | Dr.M.Suchetha | FICCI-FLO | 2017 |
| 2. | Reviewer Recognition | Dr. Gargi Raina | Nature Publishing Group | 2017 |
| 3. | Chemosensors Travel Award | Dr. Kiran Kumar Tadi | MDPI Publishers | 2017 |
| 4. | The Arskin Postdoctoral Fellowship | Dr. Kiran Kumar Tadi | The Hebrew University of Jerusalem, Israel | 2017 |
Innovations
Diabetes detection from breath (Faculty: Dr.M.Suchetha & Research Scholar: S.Lekha)
Chronic kidney disease detection from saliva(Faculty: Dr.M.Suchetha & Research Scholar: Navaneeth Bhaskar)
Cardiorespiratory Abnormalities from breath (Faculty: Dr.M.Suchetha & Research Scholar: D.Bhagya)
Cardiorespiratory Abnormalities from breath (Faculty: Dr.M.Suchetha & Research Scholar: D.Bhagya)
Harnessing the 2-dimensional material, Fluorinated graphene for the fabrication of highly sensitive, selective and fast responsive ammonia sensor (Faculty: Kiran Kumar Tadi)