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Ayurvedic Virtual Clinical Simulations (AyurSIM)

Project Status: December 2023

Chief Investigators: Dr Anup Thakkar (ITRA, Jamnagar), Dr Prema Nedungadi (AmritaCREATE)

Co-Investigators: Dr Mandip Goyal (ITRA, Jamnagar), Dr P Rammanohar (Amrita School of Ayurveda)

Other Investigators: Dr Sushma NS (Research Officer and Assistant Professor, Amrita School of Ayurveda), Dr Shyamasundaran K (Research Officer and Assistant Professor, Amrita School of Ayurveda), Dr Raghu Raman (Director AmritaCREATE)

School:School of Ayurveda

Center:AmritaCREATE ; ACARA

Ayurvedic Virtual Clinical Simulations (AyurSIM)

Ayurvedic Virtual Clinical Simulations (AyurSIM) is a research initiative that is being developed jointly by the Institute of Teaching and Research in Ayurveda (ITRA, Jamnagar) and Amrita Vishwa Vidyapeetham (Amritapuri). This project aims to develop Ayurveda eLearning.


A Preview of the AYURSIM Online Platform:

Funder and Collaborator

Funded By:

In Collaboration with:

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The project titled "Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)," is funded by MHRD – SPARC.

Project Partners : Prof A. J. Adeloye, Heriot-Watt University, UK Dr Jianxun Jennifer He, University of Calgary, Canada Dr K.S. Kasiviswanathan, IIT Roorkee Prof C.S.P. Ojha, IIT Roorkee

Duration : 2 years (2019-2021)

Research Grant: Rs. 22.40 Lakhs

[post_title] => Mitigation of dam induced flood disaster due to hydrological extremes (CoPI) [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => mitigation-dam-induced-flood-disaster-due-hydrological-extremes-copi [to_ping] => [pinged] => [post_modified] => 2022-01-15 00:52:56 [post_modified_gmt] => 2022-01-14 19:22:56 [post_content_filtered] => [post_parent] => 0 [guid] => http://amrita.edu/?post_type=project&p=96352 [menu_order] => 700 [post_type] => project [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 112286 [post_author] => 5 [post_date] => 2021-02-17 12:18:22 [post_date_gmt] => 2021-02-17 06:48:22 [post_content] =>

A Microbial Fuel Cell(MFC) or Biological fuel cell is a bioelectrochemical system that drives a current by using bacteria and mimicking bacterial interactions found in nature.Usually a microbial cell consists of two electrodes separated by a semi permeable membrane. The main objective of the present study was to work on different exoelectrogen and electrodes that could be more efficient and could be more efficient and could be cheaper than the existing ones. A small work on bio cathode was also done,biocathode is simply using organisms as cathode. Caulobactercrescentus and Proteus vulgaris were the organisms used(exoelectrogens). Aluminium (as anode), copper (as cathode) and graphite were the different electrodes used. Nutrient agar seeded with Bacillus subtilis is used as a PEM in a double chambered Microbial Fuel Cell designed and fabricated in house. Our main parameter is to check the power generation of the system. The catholyte used was 0.3% KMnO4. S.elongatus and Synechocysts species were used as bio-cathodes. The system showed good power generation for about 10-15 days. Not only the power but also the external resistance was calculated.

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The project titled ''Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District'', is funded by Ministry of Tribal Affairs. The investigators of the project are Dr. T. Senthil KumarDr. S. Rajendra Kumar, Dr. Udhaya Kumar. The duration of the project is 1 year.

Project Grant / Assistance: 9,52,780

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Antenatal Care(ANC) is one of the crucial requirements for pregnant women for protecting them as well as their unborn child. According to the WHO, 303,000 women died from pregnancy-related reasons in 2016, 2.7 million babies died within the first 28 days of their lives, while 2.6 million babies were stillborn. Many of these fatalities might be avoided with proper fetal and neonatal care, yet only 64 percent of women worldwide receive antenatal care four or more times during their pregnancy. It is very essential that pregnant ladies consult doctors regularly for assessment and counselling. The lessons, discussions and interactions during antenatal care are very useful in promoting the health of mothers and their babies, good relationships, reduce anxiety, prevent post-delivery complications.  Especially during early pregnancy, regular monitoring, and analysis of vital parameters of mother and fetus health is inevitable to forecast complications if any.

The goal of the project is to leverage the potential of AI for antenatal care to support health illiterate, malnourished pregnant women who are underprivileged/underserved. We aim to revolutionize the healthcare domain with cognitive elements to assist doctors and patients for better affordability and availability of quality health care services. This project is to satiate one amongst the Sustainable Development Goals(SDGs) that are put forth to end various types of deprivations. SDGs promote developing strategies for the goodness of health and education, to reduce inequality prevalent in various societies. For example, the SDG 3.8 target aims to “achieve Universal Health Coverage (UHC), including financial risk protection, access to quality essential health care services, and access to safe, effective, quality, and affordable essential medicines and vaccines for all.” There are still societies existing, where women are health illiterate and are not given enough consideration especially in rural areas. 

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Parkinson's disease (PD) is a neurodegenerative disease that mainly affects the motor system. PD has no known causes, no permanent cure, and limited treatment options. Early symptoms are tremors, rigidity, slowness of movement, and difficulty with walking. Due to these movement impairments, people suffering from PD have different gait characteristics than healthy subjects. PD patients have significantly lower velocity, step length, and stride length when compared to healthy controls. Rhythmic auditory stimulation (RAS) is used in Parkinson's disease rehabilitation. RAS is a type of therapy that uses rhythmic sounds (music or metronome beats) to help people with PD move more easily and effectively. Developing effective non-medical interventions to relieve gait and balance impairments would represent a great advancement in Parkinson's disease therapy. PD patients usually face significant challenges in completing the rehabilitation programs effectively without a specialised gait laboratory or after discharge from the hospital. Remote gait monitoring is possible using an inertial measurement unit and vertical ground reaction force sensors. It will reduce the cost of the rehabilitation process and help doctors to check the improvement of patients remotely. In this study, we aim to develop a home-based gait monitoring system and data-driven approach for personalization in RAS therapeutic interventions.

Future Works

Develop a RAS based remote gait monitoring system using sensors for Parkinson disease patient rehabilitation.

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The project titled "Mitigation of dam induced flood disaster due to hydrological extremes (CoPI)," is funded by MHRD – SPARC.

Project Partners : Prof A. J. Adeloye, Heriot-Watt University, UK Dr Jianxun Jennifer He, University of Calgary, Canada Dr K.S. Kasiviswanathan, IIT Roorkee Prof C.S.P. Ojha, IIT Roorkee

Duration : 2 years (2019-2021)

Research Grant: Rs. 22.40 Lakhs

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