International Journal For Multidisciplinary Research

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Self Operable E-health Diagnosis and Monitoring System with Gesture Control and Voice Assistance

Author(s) Ajay Bingi, Shekapuram Lokesh Chandra, Komati Viswas
Country India
Abstract In the present timeline, technology has advanced significantly, and the healthcare sector is constantly expanding. People in rural areas who cannot access corporate hospitals postpone their health check-ups due to the difficulty of traveling long distances. The readily available and expensive nature of diagnostic technologies have prevented many rural residents from seeking clinical examinations, even in cases when they have health issues. Corporate hospitals often make people to wait for long periods of time for health reports and causing delays. These issues highlighted the need for a device which aimed at developing an Arduino based health diagnosis system
To resolve this issue, we have introduced a device that offers a comprehensive health diagnosis and monitoring system that uses Arduino technology to store and display vital health information. The system is designed to analyze electrocardiograms (ECG), photoplethysmograms (PPG), body temperature, heart rate and stress levels in real time and then process this information to create meaningful health status assessments and store them in the database for further health assessments. Furthermore, these data could be displayed through web server or an application. Additionally, this system provides voice assistance for the condition of patient when it is critical which helps in early detection of health conditions.
Hand gestures are incorporated into this device, which makes it distinctive. Users can control the display of health parameters and easily move through the system's features with simple hand gestures. Users can switch between different types of modes in the system (such as on/off and different operation) by moving their hand in specified patterns. Thus, this makes the system user-friendly so that everyone may use it.
Keywords Machine Learning, Health technology, rural healthcare access, real-time health monitoring, electrocardiogram analysis, photoplethysmogram monitoring, body temperature measurement, heart rate detection, stress level assessment, health status assessment, health data storage, web-based health data display, health monitoring application, voice-assisted health alerts
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-27
Cite This Self Operable E-health Diagnosis and Monitoring System with Gesture Control and Voice Assistance - Ajay Bingi, Shekapuram Lokesh Chandra, Komati Viswas - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23491
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.23491
Short DOI https://doi.org/gt24xq
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