Second Chance offers the Rebo, a powered upper‑limb orthosis that uses clinical‑grade EMG sensors to detect a stroke survivor's muscle intent and provides real‑time, adaptive motor assistance. The device logs usage data to a cloud platform, enabling clinicians to track progress and tailor rehabilitation programs, helping patients regain functional independence.
Funding
Funding not disclosed
Founders
Product
Problem
Stroke survivors often experience persistent upper‑limb weakness and limited mobility, making it difficult to perform daily activities and regain independence. Conventional rehabilitation relies on therapist‑guided exercises and static orthoses, which may not provide timely, personalized assistance during functional tasks.
Solution
Second Chance has developed the Rebo, a powered upper‑limb orthosis that interprets the wearer’s muscle intent via clinical‑grade electromyography (EMG) sensors. The device delivers real‑time, adaptive motor support that matches the user’s strength and movement goals, enabling smoother, assisted motions. Integrated data collection tracks muscle activation and usage metrics, allowing clinicians to monitor progress and adjust therapy plans based on objective performance data. By combining intent detection, intelligent assistance, and analytics, the Rebo aims to accelerate functional recovery and restore autonomy for stroke patients.
Target Audience
Primary customers are rehabilitation clinicians, hospitals, and therapy centers treating stroke patients with upper‑limb impairment, as well as patients seeking at‑home assistive technology to support functional recovery.
Features
- High‑precision EMG sensors capture subtle muscle electrical signals to infer user intent
- Intelligent motor actuation provides adaptive assistance that scales with the wearer’s effort in real time
- Seamless integration of sensors and orthotic brace for comfortable, wearable operation
- Cloud‑enabled data logging of muscle activity and assistance levels for clinician review
- Compatibility with clinical workflows to inform personalized rehabilitation strategies