A Smart IoT-Based Healthcare Model for Cholera Observation (SIHCO) | [Pakistan Journal of Life and Social Sciences • 2025]

Author(s):

1. Salah Alawi Hussein Al-Sharafi: Department of Medical Sciences and Preparatory Year, North private College of Nursing, Arar 73312, Saudi Arabia.

2. Madeha O I Ghobashy: Department of Biology, Faculty of Science, University of Tabuk, Tabuk, 71491, Saudi Arabia; Biodiversity Genomics Unit, Faculty of Science, University of Tabuk, Tabuk, 71491, Saudi Arabia

3. Hadia A. Osman: Department of Computer Science, The Applied College, Northern Border University, Arar 73213, Saudi Arabia.

4. Nada A. Adam: Department of Computer Science, The Applied College, Northern Border University, Arar 73213, Saudi Arabia.

5. Reem Mohammed Jahaz Alharbi: Department of Computer Science, The Applied College, Northern Border University, Arar 73213, Saudi Arabia.

6. Mohamed M.I. Helal: Chemistry of Natural and Microbial Products Department, Pharmaceutical and Drug industries Research Institute, National Research Centre, Cairo, Egypt.

Abstract:

The Internet of Things has played an important role in the field of health care and many solutions for health care people from the elderly, people with special needs, and patients with chronic diseases, by monitoring health care through wearable devices or remote monitoring devices. To test a model to monitor cholera patients from entering into a dangerous situation that may lead to fulfillment by monitoring patients and monitoring the environment surrounding patients This model consists of several components that can be divided into inputs, which are the devices through which data are received and collected; the Arduino control unit performs the processing process, in addition to linking the input devices (sensors) to the output devices and communication devices, as well as explaining and clarifying the components and devices. The values were taken in three stages at different times and by generating them randomly by the pot-HG data entry used in the model, and it was noted that there were actual values through the SIHCO model for each of the MAX10300 extractors used to measure systolic and diastolic blood pressure mercury, as well as the heartbeat and determine its mechanism of action based on the specific symptoms of cholera or diseases that contain similar symptoms, and the MQ-2 sensor responsible for examining toxic gases that have an effect was also displayed. The model proposed in this study provides checking the q (HB) through the heart rate sensor and measuring the blood pressure (PB) through the sensor MAX30100 as well as examining the environment surrounding patients, whether it is the intensive care rooms or the inpatient room, this model works by Arduino with the Proteus program through which the model was designed.

Page(s): 2456-2476

DOI: 10.57239/PJLSS-2025-23.1.00193

Published: Journal: Pakistan Journal of Life and Social Sciences, Volume: 23, Issue: 1, Year: 2025

Keywords:

Arduino UNO Algorithms Architecture Cholera Covid19 ehealth Healthcare Internet of things IoT Mode

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