Abstract : Maintaining a healthier lifestyle is quite implausible for the mass people of developing countries like Bangladesh. Instead of regular health checkups, here folks only seek the treatment at the stage of enervate. To ameliorate this situation, in this study, we have proposed a low-cost wearable fitness device named “TeleKit”. We envisioned targeting middle-aged people who are most of the time reluctant to take health precautions. Our developed system is capable of detecting Oxygen saturation, pulse rate, and temperature of the human body. To monitor these physical parameters we have also developed an Android app with a pop-up notification feature. We also classified and aggregated the collected data through an IoT network. Applying a machine learning algorithm we demonstrate the correlation between the health parameters that will help us to predict and take necessary steps before any serious disease. This device will play a crucial role as an emergency, app notification will help the end-users to take necessary precautions. The outcome of this research would help the health service provider and the decision-makers to provide low-cost health kit facilities especially in rural areas.
TELEKIT App
Hardware
Figure 1: Data from Thinkspeak
Imran Uddin
Morshed Alam