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This system presents a thyroid monitoring sensor for Internet of Things (IoT) applications. The proposed architecture is energy efficient and user friendly. Thyroid monitoring can be done either by monitoring the basal body conductance or through blood samples. In this work basal body conductance is the quantity sensed for thyroid monitoring. The conductance acquisition is performed by an electrode along with an amplifier and a Node MCU. The designed module implements the conductance acquisition module along with the calibration method to dynamically optimize the sensor design. The sensor should be non-intrusive to avoid possible disturbs and also because the person who wears it could feel uncomfortable. Furthermore, the system acquisition should be designed by wireless technology. Finally, the sampling rate of the acquisition and the material of the sensor have to be revised. A large majority or sensors provide signals with artifacts and out layers that make the difficult information extraction.

Assistive IoT technologies are powerful tools to increase independence and improve participation. Real-time Falls are currently a leading cause of death from injury in the elderly. The usage of conventional assistive cane is critical in reducing the risk of falls and is relied upon by many elderly patients. But the conventional cane does not prove any additional assistance other than physical support. In the past few decades, the technology boom has unleashed an enormous potential to explore and implement various assistive devices for the elderly to lead their life independently. In this paper, we present the design and implementation of a prototype which would serve as an efficient aid for the elderly. This stick is embedded with various features making it a Smart walking stick. This walking stick can monitor various health parameters and informs the nearby primary health center and caretaker of any abnormalities. This smart stick can also help elder persons to reach home safely if they lost themselves when go out alone. We propose a system in which we integrate a vital monitoring system which continuously monitor the vitals of the elderly person and warns if the values are off by a significant amount. The proposed system also provides a convenient way for location. The cane is also fitted with an emergency button which when pressed triggers a loud alarm indicating that the elderly person is in danger. This stick is tested to verify the functionality of all features and this would be very useful for elders to restore their confidence and increase mobility when compared to the conventional sticks available in the market only for walking.

Diabetic Retinopathy (DR) refers to a barrier that takes place in diabetes mellitus damaging the blood vessel network present in the retina. This may endanger the subjects' vision if they have diabetes. It can take some time to perform a DR diagnosis using color fundus pictures because experienced clinicians are required to identify the tumors in the imagery used to identify the illness. Automated detection of the DR can be an extremely challenging task. Convolutional Neural Networks (CNN) are also highly effective at classifying images when applied in the present situation, particularly compared to the handmade and functionality methods employed. In order to guarantee high results, the researchers also suggested a cutting-edge CNN model that might determine the characteristics of the fundus images. The features of the CNN output were employed in various classifiers of machine learning for the proposed system. This model was later evaluated using different forms of deep learning methods and Visual Geometry Group (VGG) networks). It was done by employing the images from a generic KAGGLE dataset. Here, the River Formation Dynamics (RFD) algorithm proposed along with the FUNDNET to detect retinal fundus images has been employed. The investigation's findings demonstrated that the approach performed better than alternative approaches.

In order to help combat the harmful health effects of sitting for extended periods of time, our group will create a portable treadmill. This treadmill’s ease of portability will be due to both the lightweight design and ability to decrease its footprint when not in use. The primary demographic for this device will be working professionals who currently spend most of their day in an office chair, thereby giving them the option to walk at a comfortable pace while working. Other demographics include students at all levels to use in the classroom or the library, citizens watching television in their living rooms, and elderly persons who do not want to leave the comfort of their homes to exercise.