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Journals / Journal of Kocaeli Health and Technology University / 2025 / Cilt: 3 Sayı: 3

Real-Time Remote Monitoring of Vital Data Using The Internet of Medical Things (IoMT)

Medikal Nesnelerin İnterneti (IoMT) ile Hayati Verilerin Gerçek Zamanlı Uzaktan Takibi

Gülnur Bayraklı(KOCAELİ ÜNİVERSİTESİ)0009-0003-1919-9697
Esra Sarı(KOCAELİ ÜNİVERSİTESİ)0009-0000-1130-8498
Emine Doğru Bolat(KOCAELİ ÜNİVERSİTESİ)0000-0002-8290-6812
Pages
25–40
Publication Date
2026-01-03
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By moving beyond hospital‑centric models, the system aims to deliver healthcare that is independent of time and location, thereby improving overall efficiency.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The growing demand for healthcare services and the expansion of the elderly population make uninterrupted patient monitoring essential.
📊
Key Findings & Data:This study presents a web‑based IoMT (Internet of Medical Things) solution that wirelessly transmits data from MAX30100, DHT22, and DS18B20 sensors to a Firebase Realtime Database via an ESP32 microcontroller.
💡
Conclusion & Impact:By moving beyond hospital‑centric models, the system aims to deliver healthcare that is independent of time and location, thereby improving overall efficiency.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:ESP32 · Firebase · Medikal Nesnelerin İnterneti (IoMT)

Abstract

The growing demand for healthcare services and the expansion of the elderly population make uninterrupted patient monitoring essential. Real‑time tracking is critical for minimizing complications in people with chronic diseases, those receiving home care, and individuals at risk of infection. Conventional methods—relying on hospital visits and physical examinations—lower patient comfort and place additional strain on healthcare systems. This study presents a web‑based IoMT (Internet of Medical Things) solution that wirelessly transmits data from MAX30100, DHT22, and DS18B20 sensors to a Firebase Realtime Database via an ESP32 microcontroller. Heart rate, oxygen saturation, body temperature, and ambient humidity are monitored continuously, and threshold violations trigger instant alerts to users and clinicians. As a result, contact during crises such as pandemics is reduced, home‑care processes become safer, and hospital admissions decrease. By moving beyond hospital‑centric models, the system aims to deliver healthcare that is independent of time and location, thereby improving overall efficiency.

Özet

Sağlık hizmetlerine yönelik artan talep ve yaşlı nüfusun büyümesi, kesintisiz hasta takibini zorunlu kılmaktadır. Kronik hastalar, evde bakım görenler ve enfeksiyon riski taşıyan bireyler için anlık izleme, komplikasyonları en aza indirmede kritik rol oynar. Geleneksel yöntemler hastane ziyareti ve fiziksel muayene gerektirdiği nden hem hasta konforunu düşürür hem de sistem üzerindeki yükü artırır. Bu çalışma, ESP32 mikrodenetleyici kartı ile MAX30100, DHT22 ve DS18B20 sensörlerinden gelen verileri kablosuz olarak Firebase Realtime Database’e ileten, web tabanlı bir IoMT çözümü sunar. Kalp atış hızı, oksijen doygunluğu, vücut sıcaklığı ve ortam nemi gerçek zamanlı izlenir; eşik değerlerin aşımı durumlarında kullanıcı ve klinisyenlere anında uyarı gider. Böylece pandemi gibi krizlerde temas azaltılır, evde bakım süreçleri güvenli hâle gelir ve hastaneye başvurular azalır. Hastane merkezli yaklaşımların ötesine geçen sistem, sağlık hizmetlerini zaman ve mekândan bağımsız, daha verimli bir yapıya taşımayı amaçlar.

🔖

Cite This Article

Bayraklı, G., Sarı, E., Bolat, E. D. (2026). Real-Time Remote Monitoring of Vital Data Using The Internet of Medical Things (IoMT). Journal of Kocaeli Health and Technology University, Cilt: 3 Sayı: 3, 25–40. https://doi.org/10.66163/jokohtu.1719791

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