Cloud Server and Internet of Things Assisted System for Stress Monitoring

Rajesh Singh,Shaik Vaseem Akram,Sultan S. Alshamrani,Ahmed Saeed AlGhamdi,Mamoon Rashid,Ritika Saxena,Anita Gehlot

doi:10.3390/electronics10243133

Rajesh Singh, Shaik Vaseem Akram + Show 5 more

Open Access

https://doi.org/10.3390/electronics10243133

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Abstract

Currently, the Internet of Things (IoT) has gained attention for its capability for real-time monitoring. The advancement in sensor and wireless communication technology has led to the widespread adoption of IoT technology in distinct applications. The cloud server, in conjunction with the IoT, enables the visualization and analysis of real-time sensor data. The literature concludes that there is a lack of remote stress-monitoring devices available to assist doctors in observing the real-time stress status of patients in the hospital and in rehabilitation centers. To overcome this problem, we have proposed the use of the IoT and cloud-enabled stress devices to detect stress in a real-time environment. The IoT-enabled stress device establishes piconet communication with the master node to allow visualization of the sensory data on the cloud server. The threshold value (volt) for real-time stress detection by the stress device is identified by experimental analysis using MATLAB based on the results obtained from the performance of three different physical-stress generating tasks. In addition, the stress device is interfaced with the cloud server, and the sensor data are recorded on the cloud server. The sensor data logged into the cloud server can be utilized for future analysis.

Highlights

The Internet of Things (IoT) is considered one of the most significant communication advancements in recent years, and it serves as the foundation for the creation of autonomous services and applications [1]
We implemented an IoTenabled stress device based on Bluetooth and internet connectivity that allows doctors to monitor real-time human stress in hospitals and rehabilitation centers
The threshold value for real-time stress detection using the stress device is identified by experimental analysis using MATLAB by assigning three different physical-stress generating tasks

Summary

Introduction

The Internet of Things (IoT) is considered one of the most significant communication advancements in recent years, and it serves as the foundation for the creation of autonomous services and applications [1]. Various IoT applications provide useful features that promote healthy lifestyles by monitoring and overseeing individual health conditions [2]. The IoT allows devices to capture and transfer crucial patient data, enabling real-time tracking of individual health [3]. The IoT allows for the effective monitoring of patients in their surroundings through the deployment of a customized remote monitoring system and a mobile-health solution [4]. When the IoT and cloud computing are combined, they create a significant platform for remotely monitoring patients and transmitting continuous health information to doctors and caregivers [5]. The doctor can utilize this data for a clinical investigation to develop a decision support system that could assist in early detection and diagnosis [7]

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