SMART HEALTH MONITORING SYSTEM

This paper reports on the design and development of a Smart Health Monitoring System on the basis of an Arduino-compatible microcontroller platform. The system includes several sensors, such as a load cell sensor for food intake monitoring, an analog heart rate sensor, for real-time continuous health monitoring. Caloric intake is approximated through a simple weight-tocalorie conversion model, whereas physiological data is compared to predetermined thresholds derived from offline analysis to determine readings as falling into safe, warning, or critical levels. The system actively identifies potential health threats such as excessive caloric intake or aberrant vital signs and acts through a tiered alerting system involving an onboard buzzer and a Bluetooth communication module. These notifications are presented in audio and digital forms, allowing instant notification on attached devices like smartphones or smartwatches. Conceived for mobility, usability, and real-time responsiveness, the envisioned platform is ideal for personal health monitoring and integration into wearable healthcare ecosystems.

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Publication Details

Journal
International jounal of information technology and computer engineering.
Published
2025-06-18
DOI
https://doi.org/10.62647/ijitce2025v13i2pp1423-1430
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

SMART HEALTH MONITORING SYSTEM

Mrs.D.Geetha, Mr. A. Bhanu Prasad, B. Sahithi A. Shriya
International jounal of information technology and computer engineering.
IoT-based Smart Home Systems
article

SMART HEALTH MONITORING SYSTEM

Mrs.D.Geetha, Mr. A. Bhanu Prasad, B. Sahithi A. Shriya
article en

Abstract

This paper reports on the design and development of a Smart Health Monitoring System on the basis of an Arduino-compatible microcontroller platform. The system includes several sensors, such as a load cell sensor for food intake monitoring, an analog heart rate sensor, for real-time continuous health monitoring. Caloric intake is approximated through a simple weight-tocalorie conversion model, whereas physiological data is compared to predetermined thresholds derived from offline analysis to determine readings as falling into safe, warning, or critical levels. The system actively identifies potential health threats such as excessive caloric intake or aberrant vital signs and acts through a tiered alerting system involving an onboard buzzer and a Bluetooth communication module. These notifications are presented in audio and digital forms, allowing instant notification on attached devices like smartphones or smartwatches. Conceived for mobility, usability, and real-time responsiveness, the envisioned platform is ideal for personal health monitoring and integration into wearable healthcare ecosystems.

International jounal of information technology and computer engineering.Vol. 13(2)
Vignana Jyothi Institute of Management (IN)
Openalex Percentile: Top 87%
IoT-based Smart Home Systems
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SMART HEALTH MONITORING SYSTEM — Mrs.D.Geetha, Mr. A. Bhanu Prasad, et al. · International jounal of information technology and computer engineering. (2025) | TGRS Research Map | TGRS