The economically weaker and marginalized sections of people, particularly those living in remote villages of India have very limited and often no access to proper healthcare services. Due to tremendous shortage of trained manpower and huge cost for setting up state-of-the-art facilities, it is often not possible to deliver proper healthcare services in the rural and remote areas. Lack of accurate and timely information further adds to the problem. The advancements of the internet, wireless mobile computing, sensor networking and cloud computing technologies have led to cutting-edge research in a wide variety of applications that can significantly improve our daily lives, including healthcare systems. Remote Health project is about creating a service provision framework and deploying suitable healthcare services through integration of stateof-the-art technologies like smartmobile devices, sensor networking and cloud computing. Remote Health research work is distributed around three central themes: (1) developing sensor-cloud infrastructure for providing remote healthcare services, (2) delivering efficient solutions for pervasive healthcare services over wireless networks while ensuring the quality of service (QoS) requirements, and (3) developing knowledge extraction techniques for mobile healthcare applications. Major technical contribution of the project will be a healthcare service framework in a sensor-cloud architecture having secure and seamless communication. Low-cost, portable device for bridging this gap towards integration of sensor data from multiple patient sensors will be developed. Finally, knowledge extraction techniques and application of this knowledge for efficient diagnosis, prognosis and delivery of healthcare services will be another important contribution of the project.
MENTORS:
COLLABORATORS:
Remarks: Enrollment :30
Course Modules:
1. Internet Technologies
2. Distributed Computing
3. Wireless Ad-hoc Network
4. Wireless Sensor Network
5. Information Security
Remarks: Enrollment: 15
Course Modules:
1. Introduction to Big Data
2. Electronic Health Data Modeling 3. Acquisition of Health Data (Body sensor networks, Crowdsourcing etc.)
4. Health Data Analytics
5. Architecture and Computational Models for Big Data Processing
6. Big Data Storage
7. Security and Privacy for health data
Remarks: An elective module at the M.Tech level
Enrollment :12
Remarks: An elective module at the B.Tech level
Enrollment - 10
Remarks: Enrollment: 30
Prepared for health assistants engaged in kiosks – prepared by Foundation for Innovations in Health with support from Jadavpur University
Modules:
1. Communication Skill
2. Healthcare Organisation
3. Nutrition
4. Medico-legal & Ethical.
5. Waste Management
6. Disaster Management
7. Anatomy & Physiology
8. Musculo-skeletal
9. Gas-intestinal System
10. Cardio-vascular System
11. Respiratory System
12. Genito-urinary System
13. Gynae & Obst.
14. Integumentary System
15. Nervous System
16. Endocrine System
17. Neonatal & Child care
18. Geriatric care
19. Infection control
20. Drug Administration
21. Life-saving procedure
Remarks: Enrollment - 50
Links/URL: ttps://drive.google.com/drive/folders/1lB2f1hLTRh1lRYOLtOmcaoXISASTjpoO?usp=sharingRemarks: Enrollment - 50
Links/URL: https://drive.google.com/file/d/1eGkqa3_qinicUwiKvjWv6llRT_SW2wpo/view?usp=sharing Remarks: Enrollment - 200
For B Tech students
Course Structure:
1. Introduction(The Internet of Things, An Overview, Design Principles for Connected Devices, Internet Principles)
2. Prototyping(Thinking About Prototyping, Prototyping Embedded Devices, Prototyping the Physical Design, Prototyping Online Component)
3. Techniques for writing embedded code
4. Prototype to Reality
5. Moving to manufacture
6. Ethics
Remarks: Enrollment - 300
For B Tech students
Course Modules
1. Introduction to Big Data
2. Data Analytics
3. Big Data Technology foundation & Mining data streams
4. Frequent itemisers and clustering
5. Frameworks and visualisation
Remarks: Enrollment - 700
Course Modules
1. Introduction
2. Mobile Interent Protocol and Transport layer
3. Mobile Telecommunication system
4. Mobile Platforms and applications
Remarks: Enrollment - 300
Course Modules
1. Introduction
2. Cloud Models
3. Cloud Services
4. Cloud Application
Remarks: Equipment procured using ITRA fund:
i) pH-meter
ii) Refrigerator
iii) Keysight U3606B Multimeter/DC Power Supply
iv) Computer (Desktop)
Chemicals and wafers procured using ITRA fund:
i) Silicon Wafer
ii) Glucose Oxidase
iii) Sodium Acetate buffer
iv) Tween 20
Remarks: Equipment procured using ITRA fund:
"1 Rack Server (Lenovo ThinkStation C30): Intel® Xeon® Processor E5-2698 v3 (40M Cache, 2.30 Ghz), Memory: 256GB DDR4 2133 Mhz ECC RAM using 32 GB memory modules and 24 or higher number of slots, 3 x 1.2 TB 10K RPM SAS Drives in RAID 5; Redhat Linux Server for Physical and 4 Virtual nodes (with installation of Redhat with virtualization and creation of 4 virtual servers on the rack server).
• 30 Computing Nodes: Intel i5 processor, 4GB/8GB DDR3 RAM, 256 GB/5512 GB HDD, Linux in network with the Rack Server
Remarks: A) ReMeDi Platform from Neurosynaptic Communications
B) E-Health Sensor kit from Cooking Hacks
eHealth Shield Version1.0
eHealth Shield Version 2.0
Shield Bluetooth, Wifly, Quadband
C) MySignals SW Complete Kit (eHealth Medical Development Platform) from Cooking Hacks
D) The above kits include the following sensors:
i) Snore Sensor PRO for MySignals (eHealth Medical Development Platform)
ii) Body Position Sensor PRO for MySignals (eHealth Medical Development Platform)
iii) ECG Electrocardiogram Sensor PRO for MySignals (eHealth Medical Development Platform)
iv) EMG Electromyography Sensor PRO for MySignals (eHealth Medical Development Platform)
v) GSR Galvanic Skin Response Sensor PRO for MySignals (eHealth Medical Development Platform)
vi) Airflow Breathing Sensor PRO for MySignals (eHealth Medical Development Platform)
vii) Body Temperature Sensor PRO for MySignals (eHealth Medical Development Platform)
viii) Spirometer Air Capacity Sensor PRO for MySignals (eHealth Medical Development Platform)
and
ix) MySignals SW (eHealth Medical Development Platform)
Remarks: Workstations procured:
i) Dell Precision T1700 - CPU: Intel Xeon CPU E3-1226 v3 @ 3.30GHz quad core Memory: 32 GB Graphics Card: NVIDIA Quadro K620
Remarks: Registration date: Not yet registered
Title: S-Mask Remarks: Jointly by FGIET and University of Calcutta
Registration date: Not yet registered
Remarks: Application Number: 201711032446
Filing Date: September 13, 2017
Remarks: Jointly organized by Jadavpur University and University of Calcutta
Participants: 30
Date: 24th November, 2014 to 6th December 2014
Remarks: Jointly organized by Jadavpur University and University of Calcutta
Participants: 35
Date: 29th August 2016 to 9th September 2016
Remarks: jointly organized by Jadavpur University and University of Calcutta
Participants: 25 (approx.)
Date: 27th June to 7th July 2017
Remarks: Participants: 200
Date: October 2014
Remarks: At Department of Computer Science and Engineering
Participants: 50 (approx..)
Date: June 2017
Remarks: Participants: 63
Date: 27th February 2014
Remarks: Participants: 70
Date: 12th February 2015
Remarks: Participants: 50 (approx.)
Date: 10th February 2016
Remarks: Date: Feb. 27 2014-March 1 2014
Links/URL: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6779709Remarks: Year: 2014
Title: 2nd IEEE International conference on Applications and Innovations in Mobile Computing (AIMoC)Remarks: Date: Feb. 12-14 2015
Links/URL: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7076744 Remarks: Participants: 200
Date: January 12-13, 2015
Remarks: Participants: 39
Year: 2015
Remarks: Date: Feb. 10 - Feb. 12, 2016
Links/URL: https://www.aimoc.org/ Remarks: Participants: 48
Year: 2016
Remarks: However, no distance education course has yet been started
Links/URL: https://remotehealth.org/site/Courses.htmlRemarks: The modules explain how to handle medical instruments, measurements and evaluation using animation
Links/URL: https://drive.google.com/drive/folders/1lB2f1hLTRh1lRYOLtOmcaoXISASTjpoO?usp=sharing Remarks: Collocated with AIMoC 2015
Participants: 80
Date: 13th February 2015
Remarks: Participants: 40 (approx.)
Date: January 2015
Remarks: Participants: The team and 11 health assistants
Date: July 2016
Remarks: Participants: 18 PhD students and 9 faculty members associated with the project, Prof. Sajal Das of Missouri University of Science and Technology, Dr. Arijit Mukherjee of TCS Innovation Lab
Date: 25th November 2015 to 1st December 2015
Remarks: Participants: 18 PhD students and 9 faculty members associated with the project, Prof. Sukumar Ghosh from University of Iowa
Date: 5th January 2016
Remarks: Additionally, several meetings organized with Indian mentors, Prof. Nabanita Das and Dr. Satish Rath.
Title: Training program for Kiosk personnelRemarks: Participants: 27
Title: Sensor Networks: Theory and Applications Remarks: Participants: 110
Date: July 31, 2015
Remarks: Participants: 50
Date: September 10, 2015
Remarks: Participants: 60 (approx.)
Date: 2015
Remarks: Participants: 60 (approx.)
Date: 2015
Remarks: Participants 60
Date 4th July, 2015 Ranibandh
Remarks: Participants 40
Date 18 th Nov,2015 Sundarban
Remarks: Participants 50
Date 28 th June, 2016 Suri ,Birbhum
Remarks: Participants 50
Date 19th December, 2016 Purulia
Remarks: Year: 2014
Remarks: Collaboration Area: Developing a Sensor-cloud architecture
Title: RABT Technology Pvt. Ltd.Remarks: Collaboration Area: Animation Section of E-Module system
Remarks: Collaboration Area: Three health kiosks have been set up and are operating at three villages of West Bengal, namely Barhra, Birbhum district, Suri, Birbhum district and Bali, South 24 Pgs. District
Barhra and Bali kiosks are operated by Jadavpur University and Suri kiosk is operated by University of Calcutta.
Remarks: Collaboration Area:"Kiorh" application running in the kiosk developed by the students of Jadavpur University
Links/URL: https://www.remotehealth.org/user/login/Remarks: Collaboration Area: Development of E-modules for training the health assistants by IIEST, Shibpur
Title: Foundation for Innovations in Health, KolkataRemarks: Collaboration Area: Development of audio-visual module on digestive system for training the health assistants by IIEST, Shibpur
Title: Foundation for Innovations in Health, KolkataRemarks: Collaboration Area: Training materials for health assistants by Jadavpur University
Title: Forum of Scientists, Engineers &; Technologists , FOSETRemarks: Collaboration Area: Awareness of rural healthcare service using e-technology
Remarks: Collaboration Area: Securing Healthcare Data from Malware Attacks
Title: AGH University of Science & Technology, KrakowRemarks: Collaboration Area: Visiting Professors in the, Poland.
Title: Sustainable green Economies through Learning, Innovation, Networking and Knowledge exchange (gLINK) Remarks: Project sanction reference no and date: 2014-0861/001-001 dated 12/08/2014;
Funding Agency: Education Audiovisual and Culture Executive Agency under European Commission
Project value: EUR 3,036,625
Duration: 2014 - 2018 (4 years)
Number of participating countries: 17
Role: Coordinator, Jadavpur University, India
Remarks: Project sanction reference no and date: 2014-0858/001-001 dated 20/08/2014;
Funding Agency: Education Audiovisual and Culture Executive Agency under European Commission
Project value: EUR 3,049,600
Duration: 2014 - 2018 (4 years)
Number of participating countries: 17
Role: Coordinator, Jadavpur University, India
Remarks: Provided to: Foundation for Innovations in Health, Kolkata
Remarks: Professors from Jadavpur University and University of Calcutta are committee members of several government organizations, such as UGC, NBA, AICTE, and non-government organizations (including international), such as IEEE and ACM, and are entrusted to provide consultations and services.
Remarks: Professors from Jadavpur University, University of Calcutta and IIEST Shibpur are members of Governing bodies, Board of Studies and other important committees of several government and non-government universities and colleges.
1. | RSS Characterization in Wireless Heterogeneous Network |
2. | Managing Uncertainty to rural primary healthcare using rough set theory |
3. | Missing value imputation in medical records for remote health care services |
4. | Novel technique for estimating Quiet Breathe Rate and Strength |
5. | Device Fragmentation: A Case Study using ?NeSen? |
6. | Device to monitor quiet breathe of CRD patients |
7. | A framework for business process modeling by QoS-based pruning |