![Sample our Economics, Finance,Business & Industry journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5931/TOC-Subject-Sample-2021-Economics-Finance-Business-Industry.jpg"})
Abstract
The healthcare facilities in the modern age are the key challenge in developing countries where remote areas lack immense-quality hospitals and medical experts. The idea here is to provide an intelligent smart health system using some sensors and fuzzy controllers which are implemented in stretchers, and the update of the patient stretcher monitoring is implemented to monitor the immovable stretchers and rectify the problem of immovable stretchers, which can be solved by Type-2 fuzzy sets and systems, which is featured by three-dimensional characteristics. This study proposes IoT-based Patient Stretcher Movement Simulation for Smart Hospitals using Type-2 fuzzy sets and systems. Type-2 fuzzy logic is a generalisation of conventional fuzzy logic in which the stretcher movement simulation and exact location of the stretcher are monitored by the sensor-based fuzzy set and let the model minimise the effects of uncertainties which is found to have very wide applicability in rule-based fuzzy logic systems. The results presented in this paper prove the concept and provide the IoT-based patient stretcher creation. The results of the experiments also show that the proposed approach is more reliable and intelligent enough to provide efficient monitoring applications through the type-2 fuzzy logic systems.
Author contributions
All authors contributed to the design and methodology of this study, the assessment of the outcomes and the writing of the manuscript.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
No datasets were generated or analysed during the current study.
Additional information
Funding
Notes on contributors
C. B. Sivaparthipan
Dr. C. B. Sivaparthipan has completed his Ph.D. under Information Communication Engineering in Big Data Analytics at Anna University, Chennai, India. He earlier completed M.E. in Software Engineering from Hindustan University, Chennai, India, and M.B.A. in Human Resource Management from Annamalai University, Chidambaram, India. He is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Tagore Institute of Engineering & Technology, Tamil Nadu, India. Previously, he worked as an Assistant Professor in the Department of Computer Science & Engineering, SNS College of Technology, Affiliated with Anna University, Chennai. He started his career as an Assistant Professor at JKK Munirajah College of Technology, Erode. He has published more than 30 papers in national and international journals and conferences. He also holds membership in many Professional Bodies like ISTE, IAENG, ACM, IEEE, etc., and also delivered many guest lecturers. His current research areas include Cloud Computing, Data Analysis, Data Mining, Databases, Artificial Intelligence, Machine Learning and IoT.
M. Anand
Dr. M. Anand received a B.Tech degree in Information Technology from Anna University, India, in 2006, an M.E degree in Computer Science and Engineering from Anna University, India in 2010 and Ph.D. in Computer Science and Engineering from Anna University, India in 2020. He is currently working as an Assistant Professor, the Department of Computer Science and Engineering at the School of Computing, SRM Institute of Science and Technology, Chennai. His research interests include Cross-layer design, Energy-aware routeing and MAC protocol design, Link adaptation, Network optimisation for wireless networks and Machine learning. He is an active member of IEEE.
Nidhi Agarwal
Nidhi Agarwal received a BTech degree in Computer Science & Information Technology engineering in 2004 from U.P.T.U. and M. Tech degree in Computer engineering in 2011. Cleared NTA NET in Computer Applications & Engineering in June 2019. She has 18+ years of total teaching experience with B. Tech, M. Tech students and 2 years of research experience. She is pursuing PhD degree in the Department of Computer Engineering, IGDTUW, Delhi approved by Govt of N.C.T of Delhi since August 2019 and also serving as Assistant Professor in the Department of CSE at Galgotias University, Greater-Noida, India. She has around 10 research papers in SCI/E and Scopus-indexed journals. She has around 15 papers in IEEE/Scopus-indexed conferences. She has authored 1 book, 4 book chapters from the CSE domain and has 4 patents in her name. She has reviewed many research papers in international journals and conferences of repute. She has received many awards at the national and institutional level based on her academics and research work. Her research interests include fuzzy logic, Soft Computing, Artificial Intelligence, Machine Learning, Deep Learning, Software Engineering, Agile Methodologies.
Mallika Dhingra
Mallika Dhingra received her B.Sc. (Hons) Mathematics degree from Delhi University, New Delhi, India and M.Sc. Mathematics degree from Panjab University Chandigarh, Chandigarh, India. She is currently a researcher in the department of Mathematics in Manipal University Jaipur, Jaipur, India. Her research interests include fuzzy logic, automata theory and computation.
Laxmi Raja
Dr. Laxmi Raja has finished her B.E. Computer engineering from Mumbai University, M.E. from Annamalai University and PhD from Karpagam University, Coimbatore. She has more than 5 years of teaching experience in various engineering colleges. She has published more than 15 papers in Scopus and SCI journals. Her area of interest include Artificial intelligence, Machine learning and Bio-signal processing.
Akila Victor
Akila Victor is currently working as an Associate Professor in the School of Computer Science and Engineering in Vellore Institute of Technology, Vellore. She has completed Ph.D. at VIT University, Vellore, India in 2018. Her research interest includes Image Processing, computer vision, object detection, medical image processing, infra-red imaging and machine learning. She has published more than 15 research papers in reputed international Journals and book chapters. She is a life member of CSI.
S. A. Amala Nirmal Doss
Dr. S. A. Amala Nirmal Doss pursued a doctoral degree in Computer Applications from Manonmaniam Sundaranar University. Has teaching experience of over 13 years. Currently working as an assistant professor in the department of Computing, Muscat College, Muscat, Oman. Area of specialisation includes Data Mining, Computer Networks and Security. Has published over 12 papers in Scopus and refereed journals.