COMSNETS 2022

14th International Conference on COMmunication Systems & NETworkS

January 3 - 8 | Hybrid Conference | Bengaluru, India

Initiative by COMSNETS Association

In-Cooperation With
Technical Co-Sponsors

Workshop on Networking Humanitarian Technology for Healthcare (NetHealth)

All workshops will be conducted in a hybrid mode. However, we strongly encourage physical attendance (including delegates/authors/speakers/chairs and OC members) for the workshops, especially if you are in India. There will be travel grant opportunities for authors traveling from within India.


Theme: NextGen Affordable Connected Healthcare and Challenges



Schedule

January 4, 2022
Venue: Sigma Hall 1
Time Title Speaker/Authors
Session 1
9:30- 9:45 Detecting and Predicting Sleep Activity using Biometric Sensor Data Maxwell Kleinsasser, Bronson Tharpe , Neelam Akula, Harshitha Tirumani , Rajshekhar Sunderraman , Anu Bourgeois
9:45-10:00 ML-Based Device-Agnostic Human Activity Detection with WiFi Sniffer Traffic Harshit Grover, Dheryta Jaisinghani, Nishtha Phutela, Shivani Mittal
10:00 - 10:30 Keynote Talk: Tech enabled Healthcare for 1.3 Billion - Bridging the Urban and Rural Divide Mr. Rajat Garg
10:30 - 11:00 Keynote Talk: Design of Healthcare 4.0 Platform Models Prof. N Vishwanadham
11:00 - 11:30 Networking over Tea/Coffee
11:30 - 12:00 Invited Talk: Mobile and Embedded Sensing Systems for Healthcare Applications Dr. JeongGil Ko
12:00 - 12:30 Invited Talk: How We Built Machine Intelligence To Help Doctors Save Lives Mr. Zainul Charbiwala
12:30 - 1:00 Invited Talk: Building Real World AI for COVID-19 using Heterogeneous Datasets Dr. Tavpritesh Sethi
1:00 - 2:00 Networking Lunch
Session 2
2:00-2:15 A Comparative Study between ECG-based and PPG-based Heart Rate Monitors for Stress Detection Anuja Achyut Pinge, Soumyadip Bandyopadhyay, Surjya Ghosh, Sougata Sen
2:15-2:30 Mental Health Analysis of Employees using Machine Learning Techniques Sujal BH, Neelima K, Deepanjali C, Bhuvanashree P, Kavitha Duraipandian, Sharanya Rajan, Mithileysh Sathiyanarayanan
2:30-2:45 HRV and GSR as Viable Physiological Markers for Mental Health Recognition Shikha, Aryan, Lovish Arya, Divyashikha Sethia
2:45-3:00 Research Study and System Design for Evaluating Student Stress in Indian Academic Setting Pavan Kumar Reddy Yannam, Vineet Venkatesh, Manik Gupta
3:00 - 3:30 Networking over Tea/Coffee
Session 3
3:30 - 4:15 Panel discussion: Next Generation Health Care Challenges - Impact on society & Individuals Mr. Manoj Sanker
Dr. Shyam Vasudev
Dr. Abhishek Appaji
Dr. Sanjay Sood
4:15 - 4:45 Keynote Talk: Cognitive Informatics in Healthcare: Promises and Challenges Prof. Vimla L Patel  
4:45- 5:15 Invited Talk: AI for Mental Health Dr. Chandramauli
5:15-5:45 Invited Talk : Thread diagnostics: sensors, circuits, microfluidics and drug delivery Prof. Sameer Sonkusale
5:45 - 6:00 Closing & Best Paper Award announcement

Keynote speakers

Vimla L. Patel

Prof (adjunct) Biomedical Informatics at Columbia University, New York and College of Health Solutions at Arizona State University (ASU) in Arizona.
Senior Research Scientist and Director, Cognitive Studies in Medicine and Public Health, New York Academy of Medicine

Visit Homepage

As we embrace emerging next-generation technological advances intended to deliver more affordable care, social and cognitive factors, focusing on the users, must be a significant part of the discussion. This requires understanding and using principles from cognitive informatics, the field that focuses on human cognition (processes) and the design of engineering solutions that can improve human activities. Although the potential of advanced technology in health settings is extraordinary, numerous possible pitfalls present challenges. These include issues of appreciating context for measurements from sensor-based technology, using non-representative and thereby biased population data, and applying machine-learning algorithms to mine large data sets without adequate attention to demographic and similar imbalances. All of these issues can hinder reproducibility in results, threatening the essence of the scientific method. Engineering innovations may work well in a highly controlled research setting and then fail when implemented in the real world. I will discuss some of these problems and promises, emphasizing the role of cognitive issues in both design and implementation. Examples will include technology evaluations carried out (a) in complex clinical settings (emergency care) and (b) in mental health assessment programs that use affordable mobile technology in low-income countries.

Professor Vimla L Patel is a professor (adjunct) of Biomedical Informatics at Columbia University in New York, and the College of Health Solutions at Arizona State University (ASU) in Arizona. She is also a Senior Research Scientist and Director of the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine. A graduate of McGill University in Montreal, Canada, Dr. Patel was a Professor of Medicine and Psychology and Director of McGill Cognitive Science Center. From 2007-2009, she served as the Professor and Chair of Biomedical Informatics in the Ira Fulton School of Engineering at ASU. Her early research related to cognitive mechanisms underlying expertise and medical decision-making. Her studies over the past two decades are on decision support technology and errors in complex clinical environments, addressing the role of cognition in biomedical informatics (human-computer interaction, cognitive design, distributed cognition, and team decision making) for a safer clinical workplace.

Professor Patel is an elected fellow of the Royal Society of Canada (Academy of Social Sciences), the American College of Medical Informatics, and the International Academy of Health Sciences Informatics. She is the editor of the Springer Book Series on Cognitive Informatics in Healthcare and Biomedicine. She is on the Journal of Intelligence-based Medicine editorial board and a past associate editor of the Journal of Biomedical Informatics, and assistant editor of Artificial Intelligence in Medicine. She has 350+ scholarly publications spanning books and journals in biomedical informatics, education, clinical medicine, and cognitive science.


Rajat Garg

CEO Myupchaar

Visit Homepage

Rajat is a serial entrepreneur having founded companies like Shimply.com and SocialAppsHQ prior to starting myUpchar.com, India’s biggest and the single largest portal providing credible information and creating health awareness in Hindi and 5 other languages. After graduating from Stanford University, Rajat joined Amazon as a Product Manager, leading efforts to deliver new initiatives to enable Amazon’s entry into new markets to drive incremental traffic to its website.
Rajat’s stint at Amazon was followed by a key role at DataSphere Technologies where he headed the real-estate segment. That is when the entrepreneurship bug bit him and Garg started Shimply, an e-commerce venture that sold authentic and artisanal Indian products sourced from smaller vendors who had limited access. Soon after the website became operational in Hindi, a sudden spurt was witnessed with Ayurveda contributing 50% to the business. A little bit of research and the reason for this spurt was known. The fact that the content was made available in a language that most Indians communicated had played the trick. This, coupled with the realisation that ‘healthcare is one of the most researched topic online’, resulted in the birth of myUpchar.
Rajat launched myUpchar in 2016 to cater to the widespread demand for credible regional content and consultation services while solving the evils – access, affordability and availability of good healthcare in India. myUpchar now serves 2 crore users every month and provides a host of services both online and offline.
Rajat graduated from the Delhi College of Engineering and subsequently completed his Masters in Electrical Engineering from Stanford University.


N. Viswanadham

INSA Honorary Scientist, Indian Institute of Science Bangalore, India

Visit Homepage

Healthcare, and more precisely hospitals, are undergoing full scale digital transformation. The underlying benefits are compelling – from improved patient health outcomes to reduced overall costs and increased competitiveness. It is important for India to take this opportunity to design Healthcare platform models. India currently ranks 145th among 195 countries in terms of quality and accessibility of healthcare. Rising income levels, ageing population, growing health awareness, and changing attitude towards preventive healthcare is expected to boost healthcare services demand in future. Also, Focus is shifting from health care to health and well-being. There will be a greater focus on promoting healthy lifestyles, vitality, and wellness; on primary and secondary prevention; and on early diagnosis.

New technologies such as mobile Internet, IOT, Cloud, Big Data Analytics, 3D printing, Blockchain, Digital Valets, Drones, and Robots, are creating new industry giants at the cost of old businesses. Use of machine learning and AI is becoming the new norm for decision making both in Government and Industry. Start-ups in every area such as Edtech, Fintech, healthcare and entertainment are disrupting well-established institutions such as Banks, Hospitals, Movies, Universities, etc. We are currently witnessing the industry 4.0 in auto, real estate, IT, Finance, and several other sectors. We can see the flourishing companies such as Google, Facebook, Amazon, etc. follow the open platform-based business models collaborating with ecosystem partners. We will soon see the Healthcare industry transition to 4.0.

Currently Hospitals mainly comprised of a limited number of medical practitioners in nursing homes and small hospitals. The transition to Healthcare 4.0. involves Electronic medical records, digitation of patient data, Cloud, Mobile Internet, IOMTs and connected patients, Big data health analytics and AI, ML & block chain. Innovation in diagnosis and medical treatment and developing personalized medicine.

In this lecture, we propose the platform business model to transform the classical Hospital model which we call Healthcare 1.0. The service chain consists of rendering healthcare services via Primary healthcare centers, Community healthcare centers, Public healthcare centers, Multi-Specialty healthcare centers, Emergency healthcare centers and Mobile and Rural health camps. Diagnostic centers play a vital role in healthcare system. After a brief introduction to the new technologies, we develop an ecosystem framework for Healthcare service sector that includes all the stake holders and new technologies. We develop the ecosystem model which gives a 360-degree overview of the entire healthcare system. and the Governance mechanisms. This research is of immense importance to policy makers and become highly connected collaborative networks. Our research is in developing theoretical models for the design of competitive businesses.

N. Viswanadham is INSA Honorary Scientist in the Computer Science and Automation at the Indian Institute of Science. From 1967-1998, he was faculty at the Indian Institute of Science (IISc). Professor Viswanadham was Professor and Executive Director for The Center of Excellence Global logistics and manufacturing strategies in the Indian school Of Business, during 2006-2011. He was Deputy Executive Director of The Logistics Institute-Asia Pacific and Professor in Department of Mechanical and Production Engineering at the National University of Singapore during 1998-2005.

He is the recipient of the 1996 IISc Alumni award for excellence in research. He was conferred the Distinguished Alumni Award in 2009 by IISc. He was awarded the 2012 Prof S K Mitra Memorial Award by the INAE. He is a Fellow of the IEEE, a Fellow of Indian National Science Academy, Indian Academy of Sciences, Indian National Academy of Engineering, and The World Academy of Sciences.

Professor Viswanadham has made significant contributions to the areas of manufacturing, logistics and global supply chain networks. He is the author of Four Textbooks, Nine Edited Volumes, over two hundred forty journal and top tier conference papers. His current research efforts are on use of new technologies for Future Supply chain network design using blockchains and smart contracts and design of Competitive Business Models and applications to Healthcare, Agriculture, Pharma and Green supply chains.


Accepted Papers

  1. Mental Health Analysis of Employees using Machine Learning Techniques
    Sujal BH, Neelima K, Deepanjali C, Bhuvanashree P, Kavitha Duraipandian, Sharanya Rajan, Mithileysh Sathiyanarayanan

  2. Detecting and Predicting Sleep Activity using Biometric Sensor Data
    Maxwell Kleinsasser; Bronson Tharpe; Neelam Akula; Harshitha Tirumani; Rajshekhar Sunderraman; Anu Bourgeois

  3. HRV and GSR as Viable Physiological Markers for Mental Health Recognition
    Shikha Shikha; Aryan Aryan; Lovish Arya; Divyashikha Sethia

  4. Research Study and System Design for Evaluating Student Stress in Indian Academic Setting
    Pavan Kumar Reddy Yannam; Vineet Venkatesh; Manik Gupta

  5. ML-Based Device-Agnostic Human Activity Detection with WiFi Sniffer Traffic
    Harshit Grover; Dheryta Jaisinghani; Nishtha Phutela; Shivani Mittal

  6. A Comparative Study between ECG-based and PPG-based Heart Rate Monitors for Stress Detection
    Anuja Achyut Pinge; Soumyadip Bandyopadhyay; Surjya Ghosh; Sougata Sen


NetHealth (Network Health) is a yearly workshop, held along with the COMSNETS conference, that offers all stakeholders in the healthcare system a platform to learn, share and connect. Every year, the NetHealth Workshop brings together a multidisciplinary audience from across the healthcare spectrum to share their ideas and break the conventional silos that exist in this field.

NetHealth is centered around people and technology that are changing the face of healthcare. This year’s NetHealth will cover healthcare specific topics like Novel Medical Devices, Implants & Instruments, Artificial Intelligence, Bio-entrepreneurship, Tele-medicine, 3D printing and Investment & Incubation opportunities as well as groundbreaking academic research.

This day-long workshop is for those working within the sphere of healthcare, be it clinicians, students, engineers, designers, innovators, policymakers or regulators, industry experts or anyone else working in support of healthcare.

There are bursaries available for student presenters (Kindly reach out to the co-chairs to know more).

We invite research papers and position papers that present novel ideas for networked computing technology in support of healthcare, and which are likely to invoke thoughtful discussion at the workshop. Both academia and corporate contributions are highly welcome and encouraged.

Of interest, though not exclusively, are the following topics:

  • Implantable medical devices & Instruments
  • Mobile and wearable medical sensing applications
  • Usability of mobile health applications and devices
  • Clinical applications of mobile or networked healthcare
  • Security and privacy in networked healthcare
  • Impacting lifestyle choices through mobile health
  • Remote diagnosis and remote consultation
  • Remote access to electronic health records
  • Sensor networks for public health monitoring and surveillance
  • Cost-efficient and energy-efficient networking for remote healthcare
  • Assistive medical technology
  • Assistive robotics and prosthetics
  • Rehabilitation engineering and assistive rehabilitative technology
  • Design of wearable and home-care health devices
  • Data analytics for personalized healthcare
  • Big Data in Healthcare
  • Apps for healthcare
  • Healthcare Disaster Management

Submission Guidelines

  • NetHealth invites submission of original work not previously published, or under review at another conference or journal.
  • Submissions (including title, author list, abstract, all figures, tables, and references) must be no greater than 6 pages in length.
  • Reviews will be single-blind: authors name and affiliation should be included in the submission.
  • Submissions must follow the formatting guidelines as given on IEEE Website; and those that do not meet the size and formatting requirements will not be reviewed.
  • All papers must be in Adobe Portable Document Format (PDF) and submitted through the NetHealth Workshop submission site on EDAS.
  • All workshop papers will appear in conference proceedings and submitted to IEEE Xplore

Submission Portal

EDAS link for paper submission: https://edas.info/N28673


Important Deadlines


Paper Submission Deadline 10th November    24th November 2021 11:59 PM (AoE)
Notification of Acceptance 10th December 2021
Camera-ready Submission 15th December 2021
Workshop Date 4th January 2022

Technical Program Committee Members

Name Affiliation
Vasudev Acharya Madava college Mangalore, India
Dr. Ashwini Appaji IEEE Bangalore Section, India
Dr Abhishek Appaji B.M.S College of Engineering, India
Dr Bhanuprashanth B.M.S College of Engineering, India
Dr Manish Arora IISc Bangalore, India
Dr Zainul Charbiwala Tricog Health, India
Dr Manik Gupta BITS Pilani, Hyderabad
Prof S. Indu Delhi Technological University, India
Chengappa Munjandira Hewlett Packard Enterprise, India
Dr Hassnaa Moustafa Intel Corporation, USA
Dr Ashish Namdeo Samsung Research India
Dr Anand Nayyar Duy Tan University, Viet Nam
Dr Aarathi Prasad Skidmore University, USA
Dr Sharanya Rajan Medical Doctor, Bedford Hospital, NHS, UK
Dr Michal Rosen-zvi IBM, Israel
Dr Mithileysh Sathiyanarayanan Founder & CEO, MIT Square, London
Dr Tavpritesh Sethi IIIT Delhi, India
Dr Divyashikha Sethia Delhi Technological University, India

Workshop Co-Chairs

Ashwini Appaji

Ashwini Appaji

IEEE, Bangalore, India

Divyashikha Sethia

Divyashikha Sethia

Delhi Technological University, India