Review Article Volume 18 Issue 1 - 2026

Sensor-Based Brain/Machine Interface with Neuromuscular Stimulation to Allow Unbraced Walking by Thoracic-Level Paraplegics

Daniel Graupe*

Department of Electrical and Computer Engineering and Department of Neurology and Rehabilitation Medicine, University of Illinois, Chicago, IL, USA

*Corresponding Author: Daniel Graupe, Department of Electrical and Computer Engineering and Department of Neurology and Rehabilitation Medicine, University of Illinois, Chicago, IL, USA.
Received: November 27, 2025; Published: December 22, 2025



The paper describes a sensor-based virtual Brain-to-Machine Interface (BMI) that allows unbraced walking at will by certain complete thoracic-level paraplegics using neuromuscular electrical stimulation (NMES). The multi-sensor system is walker-mounted, using a reciprocal walker. The sensors communicate electromagnetically (via Bluetooth microchips) with the NMES stimulator. This virtual interface (BMI) facilitates at-will walking, avoiding any brain electrodes or implants and requires no manual switching to initiate any step during walking. It is based on observing the elements of steps taken by paraplegics using the Parastep NMES system at the author’s lab. Based on these observations, a set of sensors is employed, to detect patients’ intentions and trigger NMES stimulation pulses accordingly, to result in un-braced walking at will. The resulting sensor data is shown to disallow unintentional steps while requiring only natural movements and avoiding any unnatural or pre-trained body or limb movements.

 Keywords: Brain-Machine-Interface; Neuromuscular-Stimulation; Paraplegic; Reciprocal-Walker Sensors; Spinal Cord; Thoracic-Level; Walking

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Daniel Graupe. “Sensor-Based Brain/Machine Interface with Neuromuscular Stimulation to Allow Unbraced Walking by Thoracic-Level Paraplegics”. EC Neurology  18.1 (2026): 01-08.