ItemArticle

Application of fuzzy logic in multi-sensor-based health service robot for condition monitoring during pandemic situations

Title
Application of fuzzy logic in multi-sensor-based health service robot for condition monitoring during pandemic situations
Creator
Rout A.; Mahanta G.B.; Biswal B.B.; Renin Francy T.; Vardhan Raj S.; B.B.V.L D.
Description
Purpose: The purpose of this study is to plan and develop a cost-effective health-care robot for assisting and observing the patients in an accurate and effective way during pandemic situation like COVID-19. The purposed research work can help in better management of pandemic situations in rural areas as well as developing countries where medical facility is not easily available. Design/methodology/approach: It becomes very difficult for the medical staff to have a continuous check on patients condition in terms of symptoms and critical parameters during pandemic situations. For dealing with these situations, a service mobile robot with multiple sensors for measuring patients bodily indicators has been proposed and the prototype for the same has been developed that can monitor and aid the patient using the robotic arm. The fuzzy controller has also been incorporated with the mobile robot through which decisions on patient monitoring can be taken automatically. Mamdani implication method has been utilized for formulating mathematical expression of M number of if and then condition based rules with defined input Xj (j = 1, 2, . s), and output yi. The inputs and output variables are formed by the membership functions Aij(xj) and Ci(yi) to execute the Fuzzy Inference System controller. Here, Aij and Ci are the developed fuzzy sets. Findings: The fuzzy-based prediction model has been tested with the output of medicines for the initial 27 runs and was validated by the correlation of predicted and actual values. The correlation coefficient has been found to be 0.989 with a mean square error value of 0.000174, signifying a strong relationship between the predicted values and the actual values. The proposed research work can handle multiple tasks like online consulting, continuous patient condition monitoring in general wards and ICUs, telemedicine services, hospital waste disposal and providing service to patients at regular time intervals. Originality/value: The novelty of the proposed research work lies in the integration of artificial intelligence techniques like fuzzy logic with the multi-sensor-based service robot for easy decision-making and continuous patient monitoring in hospitals in rural areas and to reduce the work stress on medical staff during pandemic situation. 2024, Emerald Publishing Limited.
Source
Robotic Intelligence and Automation, Vol-44, No. 1, pp. 96-107.
Date
2024-01-01
Publisher
Emerald Publishing
Subject
COVID-19; Fuzzy logic; Mobile robot; Patient condition monitoring; Patient service
Coverage
Rout A., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Mahanta G.B., Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Chennai, India; Biswal B.B., Department of Industrial Design, National Institute of Technology Rourkela, Rourkela, India; Renin Francy T., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Vardhan Raj S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; B.B.V.L D., Department of Industrial Design, National Institute of Technology, Rourkela, India
Rights
Restricted Access
Relation
ISSN: 27546969
Format
Online
Language
English
Type
Article

Collection

Articles

Citation

Rout A.; Mahanta G.B.; Biswal B.B.; Renin Francy T.; Vardhan Raj S.; B.B.V.L D., “Application of fuzzy logic in multi-sensor-based health service robot for condition monitoring during pandemic situations,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/13205.

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