From thought to movement.
Bendix Neuro builds neurotechnology to help people with Parkinson’s disease by measuring the intent to move and helping to carry it out.
See the technologyGet in touchParkinson’s takes away the link between wanting to move and moving.
Parkinson’s disease slowly breaks down the signals that carry a movement intention to the muscles. The signal is “trapped” in the brain: the thought is intact, but the movement does not follow smoothly.
Current treatments, such as medication, surgical procedures and physiotherapy, manage symptoms for a time, but many people lose autonomy and independence long before they lose the will to act. A simple task like walking or reaching for a cup of coffee becomes a challenge in everyday life.
Bendix Neuro is working to close this gap by creating a new pathway between intent and movement.
Tobias Bendix Nielsen
Founder, Bendix Neuro
A thought, an AI, a movement.
Bendix Neuro records brain activity with EEG and uses AI to recognise the signals that reveal an intention of a person to move. That intention is sent to a device where real-time electrical muscle stimulations is used to turn the signal into movement.
The Thought
The intention to move appears in the brain before the movement itself. EEG captures this signal.
AI
AI decodes this signal in noisy EEG data and predicts, in real time, what the person intends to do.
The Movement
The decoded intention drives a robot, a device, or stimulation of the nervous system.
Research
Bendix Neuro is a deep tech company rooted in ongoing research into movement-intention signals measured in regions such as the supplementary motor area (SMA), the motor cortex and the prefrontal cortex.
The first scientific paper was completed in August 2026 and is being prepared for public release as a preprint. It investigates cue-evoked sensorimotor rhythm decoding across different paradigms, such as motor execution and motor imagery. Using machine learning models and extensive data collected in a self-built laboratory, the best-performing model, a support vector machine (SVM), reached 72.2% accuracy, for ipsilateral motor execution of the right arm. EMG and IMU signals were used as markers of movement onset.
The next phase includes further data collection across more subjects, age groups and genders, signal processing of the collected data and development of the first real-time, motor-intention-controlled robotic arm, built by Volitional Dynamicis. Later phases will focus on optimising an adaptive control system for muscle stimulation.
Media
His father is slowly deteriorating from a severe illness: Now 20-year-old Tobias has an invention designed to helpVidenskab.dk
Tobias Bendix Nielsen can control a robot using the power of thought. Now, he wants to help people with Parkinson’sJyllands-Posten
Tobias hopes his invention can help his ailing father. The young researcher aims to help his father by using AI to trick the nervous system.TV2 Østjylland
Contact
Whether you live with Parkinson’s disease, know someone who does, work in research or healthcare or are simply curious, Bendix Neuro would love to hear from you.
- Phone
- +45 30 14 43 13
- Address
- Bendix Neuro
Åbogade 15
8200 Aarhus - @BendixNeuro