The Ubiquitous Lateral Ankle Sprain: Time to Reconsider Our Management?

Kinematic Analysis of Human Gait in Healthy Young Adults Using IMU Sensors: Exploring Relevant Machine Learning Features for Clinical Applications

BACKGROUND

Gait is the manner or style of walking, involving motor control and coordination to adapt to the surrounding environment. Knowing the kinesthetic markers of normal gait is essential for the diagnosis of certain pathologies or the generation of intelligent ortho-prostheses for the treatment or prevention of gait disorders. The aim of the present study was to identify the key features of normal human gait using inertial unit (IMU) recordings in a walking test.

METHODS

Gait analysis was conducted on 32 healthy participants (age range 19-29 years) at speeds of 2 km/h and 4 km/h using a treadmill. Dynamic data were obtained using a microcontroller (Arduino Nano 33 BLE Sense Rev2) with IMU sensors (BMI270). The collected data were processed and analyzed using a custom script (MATLAB 2022b), including the labeling of the four relevant gait phases and events (Stance, Toe-Off, Swing, and Heel Strike), computation of statistical features (64 features), and application of machine learning techniques for classification (8 classifiers).

RESULTS

Spider plot analysis revealed significant differences in the four events created by the most relevant statistical features. Among the different classifiers tested, the Support Vector Machine (SVM) model using a Cubic kernel achieved an accuracy rate of 92.4% when differentiating between gait events using the computed statistical features.

CONCLUSIONS

This study identifies the optimal features of acceleration and gyroscope data during normal gait. The findings suggest potential applications for injury prevention and performance optimization in individuals engaged in activities involving normal gait. The creation of spider plots is proposed to obtain a personalised fingerprint of each patient's gait fingerprint that could be used as a diagnostic tool. A deviation from a normal gait pattern can be used to identify human gait disorders. Moving forward, this information has potential for use in clinical applications in the diagnosis of gait-related disorders and developing novel orthoses and prosthetics to prevent falls and ankle sprains.

Cross-education effect of balance training program in patients with chronic ankle instability: A randomized controlled trial

Chronic ankle instability (CAI) is frequently developed due to failure of the functional rehabilitation after acute ankle sprain. So, there is a need for an alternative way by which we can begin neuro-muscular control retraining sooner.

PURPOSE

This study was conducted to examine the effect of 6-week Single-limb Balance Training Program of the non-affected side on the Overall Stability Index (OASI), Antero-Posterior Stability Index (APSI), and the Medio-Lateral Stability Index (MLSI) of the affected side in females with unilateral CAI.

METHODS

Thirty-two female patients with CAI with mean age 20.96 ± 1.69 years participated in this study. They were randomly assigned into three groups: experimental group A (Cross-Education) (n = 11) performed the exercises for the non-affected side, experimental group B (Traditional Training) (n = 11) performed the exercises for the affected side, and Control group C (n = 10) did not perform any exercises. The randomization was done using statistical random tables. Data were collected using the Biodex Balance system before and after training.

RESULTS

Two-way mixed design MANOVA revealed that there were significant improvements in the mean values of the OASI, APSI and MLSI after training (p < .05) in both the Cross-Education group (A) and Traditional Training group (B) with no significant difference in-between for the OASI, MLSI and APSI after training. There was no significant difference (p > .05) between the pre and post-training mean values of the OASI, MLSI and APSI in the Control group (C).

CONCLUSION

Single-limb balance training for the non-affected side is effective in improving the postural control of the affected side in patients with CAI.