Abstract
Sensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physics app for data acquisition and MATLAB was used for its analysis. This system analyses the behaviour of walking in people and its purpose is to diagnose any health problem caused by the human being’s way of walking. For this, the g-force meter was used in <inline-formula> <tex-math notation="LaTeX">$x$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$y$ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$z$ </tex-math></inline-formula> components. This application uses inputs from the device’s sensors to save and export the data in comma-separated values (CSV) format through a.csv extension. The results are very interesting because they can be used in medical diagnoses such as reduced gait speed and loss of regularity, symmetry, or synchronization of body movements. Since many organs are involved in gait, there are several types of gait disturbances that cause gait to be abnormal. With this system, it is possible to identify the hemiplegic gait, festinating gait, paraparhetic gait, waddling gait, among others. This analysis was carried out using the Pearson, Spearman, and Kendall correlation coefficients, which indicate the possible diagnoses in the patients.
Highlights
IntroductionThe continuous increase in technology dedicated to increasing life expectancy has gained attention in the two last decades
MATLAB was used for data analysis. The objective of this system was to analyze the walking behavior of people and be able to diagnose any health problem caused by the human's way of walking, as well as to help diagnose any anomaly in the way of walking
The cell phone was placed on the patient's left foot and the physics toolbox application was activated with the g-Force meter, a ratio of Fn / Fg in the x, y, and z directions
Summary
The continuous increase in technology dedicated to increasing life expectancy has gained attention in the two last decades. A system that can be useful for this kind is a device that allows analyzing the way of walking to monitor and predict the health status of people. [1], they made the proposal to continuously monitor the walking patterns of the elderly to identify the quality of their joints or diseases related to them in order to predict falls. There are few studies on the analysis of the general walking patterns of people that may be related to joint instability and musculoskeletal disorders. For older adults the way of walking indicates the existence of some health problems such as limb imbalance, weak joints or asymmetric acceleration of the limbs [4]. Analyzing the patterns in an individual's gait could be a good indicator to visualize the state of health that they present. In the ref. [5-6], it is precisely indicated the need to develop new alternatives for the analysis of walking using low-cost resources, in such a VOLUME XX, 2017
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