International Journal of Engineering and Advanced Technology Studies (IJEATS)

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Wearable Devices for Stroke Patients during Health Care Service Delivery Mechanisms Using Vehicle Routine Problems with the Time Window

Abstract

In low- and middle-income nations, cardiovascular disease (CVD) imposes a significant cost burden. CVD is connected with a significant deal of suffering and loss of life, but it is also a major economic burden on developing countries. A comprehensive healthcare approach is proposed in this study, allowing patients with cardiovascular disease (CVD) to gather daily vital signs from wearable sensors anywhere and communicate them wirelessly. This makes it possible for doctors and specialists to keep an eye on their patients from a distance and to intervene as needed on a regular basis. Wearable sensors will have seven characteristics: electrocardiogram (ECG), pulse rate, body temperature, blood pressure, blood sugar level, oxygen saturation level, and movement of the patient. These parameters will be incorporated into the design. The sensors are linked to an Arduino and a Raspberry Pi so that vital indicators can be collected and sent to the intelligent web site via the Raspberry Pi +. It is possible for a CVD expert to see the critical parameters and keep tabs on any mobile device that is part of the same network. Whenever this parameter deviates from the normal range, it will immediately send a warning message to the patient’s doctor. Patients’ and doctors’ personal data will be entered into a database and made available to other users. Hospitals linked to the system will have access to the web site. Using the wearable GPS vest, it’s easy to attend to patients in an emergency while the intelligent online site calculates the shortest route with the lowest cost using the Geographical Positioning System (GPS).

Keywords: CVD: Cardiovascular disease, ECG: Electrocardiogram, GPS: Geographical Positioning System

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ijeats@ea-journals.org
Impact Factor: 7.75
Print ISSN: 2053-5783
Online ISSN: 2053-5791
DOI: https://doi.org/10.37745/ijeats.13

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