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- Title
Fuzzy Logic Controller of New Strategy of Biomedical Measurements.
- Authors
El_Mashade, Mohamed Bakry; Zakaria, Yahia; Elgawad, Abd; Nasser, Tarek Mahmoud
- Abstract
Monitoring patient's condition represents one of the crucial tasks in any biomedical center to ensure the stability of the patient state. Healthcare sector quality demands are exponentially rising. These demands are concerned with designing expert systems for medical diagnosis. Also, the use of fuzzy sets theory in the medical field is to solve some medical problems. This paper proposes a simple strategy of bio measurements and its behavior through fuzzy logic model. The proposed design is constructed using three different types of data transfer-based sensors and microcontroller. The fuzzy logic model is designed and practically tested. The generated results are compared to those of the (Omron RS3 - HEM-6130-E Omron mc-246-e) device from OMRON company. Four hundred people aged between 3 and 72 years old were examined by the proposed system. All results are compared using fuzzy logic model in MATLB. Using statistical analysis, the average data measurements for each sensor in the designed device were recorded; the output results were found to be of close enough (less than 1% error) to the reference readings. The system can be used at home due to its low cost, easy to use, and high accuracy.
- Subjects
FUZZY logic; FUZZY sets; SET theory; EXPERT systems; PATIENT monitoring; STATISTICS; MICROCONTROLLERS
- Publication
International Journal of Online & Biomedical Engineering, 2020, Vol 16, Issue 10, p133
- ISSN
2626-8493
- Publication type
Article
- DOI
10.3991/ijoe.v16i10.13899