Phantom Neuro Inc.
Developer of a minimally invasive muscle–machine interface intended to provide real-time control of robotic prostheses and exoskeletons. The company designs implantable low-profile muscle sensors with embedded electronics, machine-learning signal-processing software for real-time decoding of muscle activity, clinical studies and a patient registry for trial recruitment, and pursues regulatory approvals to enable outpatient implantation and broader clinical use.
Industries
Nr. of Employees
small (1-50)
Phantom Neuro Inc.
Austin, Texas, United States, North America
Products
Minimally invasive muscle–machine interface platform (implantable sensor + decoding software)
A platform consisting of a subcutaneous low-profile muscle sensor with embedded electronics and accompanying signal-processing and machine-learning software to decode muscle activity into real-time control commands for robotic prostheses and exoskeletons.
Minimally invasive muscle–machine interface platform (implantable sensor + decoding software)
A platform consisting of a subcutaneous low-profile muscle sensor with embedded electronics and accompanying signal-processing and machine-learning software to decode muscle activity into real-time control commands for robotic prostheses and exoskeletons.
Services
Patient registry and clinical trial recruitment
A registry to enroll and notify amputees and other candidates about upcoming clinical study opportunities and trials.
Clinical research and device validation studies
Design and execution of non-invasive and clinical validation studies to measure decoding accuracy, latency, and real-world function of control systems.
Patient registry and clinical trial recruitment
A registry to enroll and notify amputees and other candidates about upcoming clinical study opportunities and trials.
Clinical research and device validation studies
Design and execution of non-invasive and clinical validation studies to measure decoding accuracy, latency, and real-world function of control systems.
Expertise Areas
- Minimally invasive neural interfaces
- EMG-based prosthesis control
- Real-time signal processing and machine learning for biosignals
- Clinical study execution and patient recruitment
Key Technologies
- Multi-electrode electromyography (EMG) arrays
- Implantable low-profile muscle sensors with embedded electronics
- Real-time ML-based signal decoding
- Mobile and cloud integration for robotics control