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#MATLABHelperLive

Webinar on
Fitness Tracker with MATLAB

Discussion Section

Many people want to know the response to a common question

How much should I gain or lose weight?


There is not one ideal healthy weight for each person, as many factors play their role. These factors range from age, muscle-fat ratio, height, sex, body fat distribution, to body shape. Having excess weight can adversely affect a person's health and life, leading to an increased risk of obesity, type 2 diabetes, high blood pressure, and cardiovascular problems. Why is it sometimes difficult to maintain a healthy weight? How do you find the relative healthy weight for your height and other parameters?

Body Mass Index (BMI), Waist-Hip Ratio (WHR), and Waist-Height Ratio (WHtR) are three ways of assessing a healthy weight. Combining all these three parameters is one of the best ways to get an accurate idea of whether you should consider changing your diet or exercise routine. Our webinar on Fitness Tracker with MATLAB shows you how BMI, WHR, and WHtR are calculated as per the required body parameters in MATLAB and how their score will impact your health. This Fitness Tracker application is beneficial for anyone who is looking to make strides in their fitness. This Fitness Tracker can give you a complete picture of your health rather than provide a general overview that might not be entirely accurate.


In this webinar


You'll learn about...

Body Mass Index (BMI) is a measure of how healthy your weight is for your height, that applies to both men and women between the ages of 18 and 65 years. BMI can be used to indicate if you are overweight, obese, underweight or normal.

Your Waist to Hip Ratio (WHR) is a simple and useful measure of fat distribution. People with more weight around their waist are at greater risk of lifestyle-related diseases such as heart disease and diabetes than those with weight around their hips.

The Waist to Height Ratio (WHtR) estimates your waist-height ratio, which is a simple, yet effective indicator of centralized obesity and associated cardio metabolic risk. Higher values of WHtR indicate a greater risk of obesity-related cardiovascular disease.

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