Wearable Sensors Assimilated With Internet of Things (IoT) for Advancing Medical Imaging and Digital Healthcare: Real-Time Scenario

Introduction

The incorporation of wearable sensors with the Internet of Things (IoT) has emerged as a transformative approach to advancing medical and digital healthcare particularly in real-time scenarios. This chapter explores the synergistic potential of wearable sensors and IoT technologies in revolutionizing healthcare practices. It highlights the importance of real-time monitoring and data assimilation in healthcare setting the stage for the discussion on wearable sensors and IoT. It focuses on diverse medical applications and use cases that demonstrate the transformative impact of this integration. The examples range from remote patient monitoring to chronic disease management, fall detection, and early intervention strategies (Pradhan et al., 2023). The underlying IoT platforms and connectivity protocols are explored, emphasizing interoperability and the role of cloud and edge computing in processing sensor data. Data privacy and security concerns are acknowledged as integral considerations. Encryption, authentication, and secure data transmission measures are highlighted to ensure the protection of patient data in wearable sensor-based IoT systems. While acknowledging implementation challenges such as sensor accuracy, power efficiency, and regulatory compliance, the chapter deals with strategies and solutions for mitigating these issues. It examines emerging trends like artificial intelligence (AI) and machine learning integration, which hold promise for enhancing real-time data analysis and predictive modeling.

There are some challenges associated with data accuracy, reliability and security in real-time scenarios are acknowledged and addressed. In unraveling the synergy between wearable sensors and IoT, the chapter navigates through the evolution of wearable sensor technology, showcasing its diverse manifestations ranging from biosensors to motion and environmental sensors. These sensors designed for continuous and non-invasive data acquisition usher in a new era of personalized healthcare. IoT seamlessly binds these sensors with healthcare systems, enabling the instantaneous transmission and analysis of data as a hallmark of real-time scenarios. So, emphasizing the cardinal importance of real-time data collection and analysis, the chapter elaborates on how IoT-enabled wearable sensors facilitate immediate data transmission, thereby empowering medical practitioners with time-sensitive insights (Tang et al., 2018). The challenges synonymous with real-time data, including accuracy, reliability and security are acknowledged and addressed which underscores the meticulous orchestration required to ensure data fidelity in rapid transmission environments. It navigating the concept of IoT platforms and connectivity protocols the chapter underscores the importance of interoperability. Cloud and edge computing mechanisms assume pivotal roles in real-time data processing, reflecting the need for seamless integration of various data streams to enable effective medical decision-making. In a digital age fraught with concerns of data privacy and security, the chapter devotes due attention to these pivotal issues. Encryption, authentication, and secure data transmission mechanisms are spotlighted as indispensable components of IoT-enabled wearable sensor systems, safeguarding sensitive patient information. The significance of real-time monitoring and data assimilation in healthcare is undeniably paramount, heralding a new era of patient care, disease management and healthcare efficiency. In an age where every second counts, the ability to access and analyze data in real-time has ushered in a paradigm shift that transcends traditional healthcare boundaries (Rastogi et al., 2020).