Meaghan D’Arcy Kathryn Levin Imaan Naqvi Rachel Opferman Melita Rajesh

Stroke Rehab Robotics

Biomedical Engineering

Meaghan D’Arcy, Kathryn Levin, Imaan Naqvi, Rachel Opferman, and Melita Rajesh

Abstract

The Anti-Spasticity Soft Robotic Elbow Brace is designed to treat spasticity in patients in stroke rehabilitation therapy. It delivers real-time muscle EMG data to occupational therapists while straightening the forearm muscles through a Bowden Cable System. Spasticity, characterized by muscle stiffness and involuntary contractions, presents a significant barrier to recovery for stroke patients, affecting both comfort and mobility. However, due to insurance costs, many patients aren’t able to spend the time needed with therapists to achieve substantial healing. Our product empowers patients to continue rehabilitation at home, extending regular therapy sessions and bridging the gap between limited insurance coverage and patient needs. The device’s design incorporates an EMG sensor and a Bowden Cable System with a fabric sleeve on the forearm and bicep, allowing it to enclose the sensors on the patient’s arm and detect muscle activity levels. These sensors enable continuous feedback, allowing the occupational therapist to adjust the device in response to real-time data to support muscle relaxation and safely improve the elbow range of motion. The components provide the necessary flexibility and comfort, making the brace suitable for extended use in clinical and home settings. The EMG sensor consists of 2 9V batteries powering an Arduino Muscle Sensor Board. This connects to an Arduino Uno Board, which powers the Servo Motor along with two AA batteries in series. Overall, this device aims to fill a critical gap in stroke rehabilitation by delivering a cost-effective, user-friendly, and adaptable solution that promotes recovery in a responsive manner.

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