Integration of Image Processing and IoT for Enhanced Patient Health Checking: A Case Study

Integration of Image Processing and IoT for Enhanced Patient Health Checking: A Case Study

R. Manivannan, Y. V. S. S. Pragathi, Uday Kumar Kanike
DOI: 10.4018/978-1-6684-8618-4.ch022
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Abstract

The integration of image processing methods with IoT devices in healthcare has revolutionized patient health checking procedures, enabling continuous monitoring, automated image analysis, and personalized treatments. This improves diagnostic precision, prompt action, and favorable patient outcomes. Wearable health trackers and medical equipment collect real-time vital sign data, enabling informed judgments. IoT device integration also enables remote access, virtual consultations, and follow-ups, boosting patient engagement and treatment compliance. However, issues like data security, interoperability, and infrastructure must be resolved for successful deployment. Future directions include advancements in 6G networks, AI integration, augmented reality, and data fusion methods.
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Image Processing For Health Checking

Through the analysis and interpretation of medical imaging data and the use of sophisticated algorithms and computational tools, image processing techniques have revolutionised healthcare as shown in Figure 1.

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