CyberStride : Stepping and Walking Aid

Enhancing the rehabilitation for those facing mobility challenges

Bioelectrical

Software

This project aims on developing biofeedback mobility and stepping aids for those going through rehabilitation facing challenges, such as stroke or neuromuscular disorders.

The overarching goal is to seamlessly integrate biofeedback technology with existing mobility aids, thereby improving the overall usability of such devices. This integration not only benefits users by offering insights into their reliance on mobility aids but also aids caretakers in monitoring and correcting improper device useage.

The goal is to expedite the recovery process and ensure individuals regain motion in their injured leg by addressing and correcting improper walking techniques.

Watch this video to learn more!

Problem

Physiotherapists often monitor the progress of patients with conditions such as strokes or nerve damage by visually analyzing their gait (manner of walking)

This method is highly subjective, relying heavily on the therapist's observations and experience which can lead to inconsistencies and variability in assessing patient improvement.

To enhance the effectiveness of rehabilitation, there is a clear need for objective, data-driven insights that can complement the therapist's expertise.

Inconsistencies

The lack of standardized, quantitative data makes it challenging to accurately measure patient progress and make informed decisions about treatment adjustments.

Variability

To enhance the effectiveness of rehabilitation, there is a clear need for objective, data-driven insights that can complement the therapist's expertise.

Solution

Our mission is to implement the following features to integrate biofeedback technology with existing mobility aids:

Wheel Sensors

Infrared (IR) Sensors: The wheels of the walker are equipped with infrared sensors that measure the steps taken by the patient. These sensors work by emitting beams that are interrupted each time a step is made, allowing for precise tracking of step count and cadence.

Hall Effect Sensors: Additionally, hall effect sensors are installed on the wheels. These sensors use magnets to track the number of wheel revolutions, providing information on the distance traveled by the patient. This data is crucial for assessing the patient's mobility and endurance.

Pressure Sensors

Pressure sensors are embedded in the handles of the walker. These sensors measure the amount of weight places on each handle, which helps determine how the patient's weight is distributed.

Imbalances in pressure can indicate muscle weakness, fear of falling, or other issues. By tracking this data over time, therapists can monitor the patient's progress toward achieving a more balanced distribution of weight on both sides of the walker.