Integration of Task-Based Exoskeleton with an Assist-as-Needed Algorithm for Patient-Centered Elbow Rehabilitation

Sensors, 2023 · DOI: 10.3390/s23052460 · Published: February 23, 2023

Simple Explanation

This research introduces an Assist-as-Needed (AAN) algorithm designed to control a bio-inspired exoskeleton, specifically created to aid in elbow rehabilitation exercises. The system aims to let patients complete exercises independently when possible. The algorithm uses a Force Sensitive Resistor (FSR) to measure force and machine learning to personalize assistance for each patient. Electromyography (EMG) signals provide real-time feedback to patients, motivating them during therapy sessions. The system was tested on five participants, including four with Spinal Cord Injury and one with Duchenne Muscular Dystrophy, achieving an accuracy of 91.22%.

Study Duration

Not specified

Participants

5 participants (4 with Spinal Cord Injury, 1 with Duchenne Muscular Dystrophy)

Evidence Level

Not specified

Key Findings

1
The study provides patients with real-time, visual feedback on their progress by combining range of motion and FSR data to quantify disability levels.
2
The study develops an assist-as-needed algorithm for rehabilitative support of robotic/exoskeleton devices.
3
The proposed AAN control strategy was capable of adapting to each individual with a minimum number of trials, as demonstrated by the FSR sensor measurement.

Research Summary

This paper presents an Assist-as-Needed (AAN) algorithm for controlling an exoskeleton designed for elbow rehabilitation. The algorithm uses FSR sensors and machine learning to personalize assistance. The system was tested on five participants with disabilities, showing an accuracy of 91.22%. It provides real-time visual feedback and adapts to individual patient needs. The study contributes an AAN algorithm for robotic rehabilitation and visual feedback to track patient progress, offering a subject-centered approach to rehabilitation treatments.

Practical Implications

Personalized Rehabilitation

The AAN algorithm can be tailored to individual patient needs, optimizing the rehabilitation process.

Home-Based Therapy

The exoskeleton can facilitate home-based and telerehabilitation, increasing access to therapy.

Motivated Patients

Real-time feedback and visual progress tracking can enhance patient motivation and adherence to therapy.

Study Limitations

1
The study involved only five participants.
2
The study focuses exclusively on elbow flexion and extension.
3
Long-term effectiveness and user acceptance of the exoskeleton are not evaluated.

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