Published Paper Details:

In the rapidly evolving landscape of healthcare, this research introduces a pioneering approach to monitor patient stress levels in real-time through the integration of Wireless Sensor Networks (WSNs) within the Internet of Things (IoT) paradigm. Our system leverages wireless sensors strategically placed on or around the patient's body to continuously collect vital physiological data, including heart rate, blood pressure, skin conductance, and respiratory rate. These data streams are wirelessly transmitted to a central hub, where sophisticated algorithms analyze and detect patterns indicative of heightened stress levels.When elevated stress indicators are identified, the system triggers automated alerts, ensuring swift response and intervention by healthcare providers or caregivers. Patients, too, are empowered with valuable insights into their stress trends, made accessible through an intuitive user interface via smartphone applications or web portals. Personalized stress management recommendations, such as relaxation techniques or breathing exercises, are also offered to aid patients in effectively managing their stress.Robust data security measures, including encryption and access controls, are implemented to safeguard patient confidentiality. The system's scalability is meticulously designed to accommodate a growing number of patients and sensors, making it suitable for diverse healthcare settings.This innovative IoT-based patient stress monitoring system holds significant potential to enhance healthcare outcomes by facilitating early stress detection and intervention, ultimately contributing to improved patient well-being.