Design and phototyping of body mass index-based monitoring device for obesity early diagnosis

Abstract

Obesity is one of the most significant risk factors of the occurrence of non-communicable diseases and associated increased healthcare costs in the twenty-first century [1]. Obesity is a global health concern associated with numerous comorbidities and increased mortality rates. In 2019, there were an estimated 5 million obesity-related deaths from NCDs (non-communicable diseases), which corresponds to 12% of all NCDs deaths [2]. Early diagnosis and intervention are critical in combating obesity. The public do need to know how to check their obesity in a self-monitoring way to manage the associated risks. The existing methods of obesity diagnosis require consulting health care providers which is found costly and time consuming. This project focuses on the design and prototyping of a novel monitoring device tailored for early detection of obesity using Body Mass Index (BMI) as a key metric. The suggested device may replace the existing conventional computing method calculating single parameter either height or weight and apply formula to find BMI. This project consists of introduction where preliminary BMI information is spotlighted, literature review encompassing different consulted and cited related research works; the project methods and materials comprising all required materials design specifications, prototype development and testing on individual samples and finally the project conclusion and recommendations. This project uses specific sensors like ultrasonic sensor and load cell to detect respectively personal body height and mass. Node MCU for storing and processing input data; and LCD (Liquid Crystal Display) to display the detected body parameters for obesity early diagnosis. The project entails mainly prototype design, development and testing. The proposed device aims to empower individuals with monitoring their BMI levels conveniently at home, enabling early detection of obesity status and facilitating proactive lifestyle modifications or medical interventions. Through design refinement and prototype testing, this project produces a user-friendly device capable of contributing to the early diagnosis and management of obesity, thereby promoting healthier lifestyles and reducing the burden of obesity-related diseases on individuals and healthcare systems globally