Affiliation:
1. Sharda University, India
2. Dublin City University, Ireland
Abstract
Wearable sensors and the internet of things (IoT) have catalyzed a paradigm shift in the domain of medical and digital healthcare, particularly in the context of real-time scenarios. Wearable sensors have evolved to encompass a variety of types, from biosensors to motion and environmental sensors, enabling continuous and non-invasive data collection. IoT serves as the bridge that connects these sensors to healthcare systems, facilitating the seamless transmission and analysis of real-time data. Real-time data collection and analysis hold paramount significance, enabling timely medical decisions and interventions. It casts a visionary gaze into the future, exploring the integration of artificial intelligence and machine learning into the ecosystem, envisaging a landscape enriched by predictive modeling and enhanced real-time analysis. This chapter throws light into the intricacies of this convergence, elucidating how the assimilation of wearable sensors with IoT technologies is reshaping healthcare practices, elevating patient care, and redefining the boundaries of medical intervention.