Keywords
Abstract
Continuous monitoring of patient physiological parameters is essential for early detection of health anomalies and timely medical intervention. Traditional methods are often limited in scope and unable to provide real-time insights, particularly for chronic and critical conditions. Intelligent Internet of Things (IoT) systems, integrated with artificial intelligence (AI) algorithms, enable continuous collection, analysis, and visualization of biophysical indicators such as heart rate, blood pressure, oxygen saturation, and body temperature. These systems support personalized healthcare by adapting to individual patient profiles, enhancing diagnostic accuracy, improving patient safety, and facilitating remote monitoring. Wearable sensors and wireless communication technologies ensure patient comfort and mobility, while cloud and edge computing enable efficient data processing and storage.
Despite challenges related to data security, sensor calibration, and device interoperability, IoT-based monitoring platforms demonstrate significant potential for transforming healthcare delivery, supporting precision medicine, and optimizing clinical decision-making.
References
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