A first-in-human demonstration of the feasibility of device-embedded inertial sensing for gait-responsive DBS is provided and a practical framework for further evaluation in larger cohorts is established.
Abstract
Recent studies show that pallidal and subthalamic local field potentials (LFPs) encode locomotor state and can guide adaptive deep brain stimulation (DBS) for gait impairment in Parkinson's disease. Here, in one participant implanted with the Picostim DyNeuMo-2c, we demonstrate a simpler and more direct approach for inferring locomotor state using the device's onboard accelerometer. Triaxial acceleration was classified independently on each axis to select among preconfigured stimulation programs. Using a cranially mounted digital twin, we characterized inertial signatures across medication and activity states, developed a classifier that distinguished walking from rest while rejecting tremor, and verified the intended stimulation switches during walking. In an exploratory comparison, a gait-adaptive program improved objective gait measures relative to open-loop stimulation optimised for resting tremor. These findings provide a first-in-human demonstration of the feasibility of device-embedded inertial sensing for gait-responsive DBS. They establish a practical framework for further evaluation in larger cohorts.
Vestibular schwannoma (VS) impairs balance and gait, often leading to substantial functional limitations that are incompletely captured by standard clinical assessments. While wearable inertial sensors and machine learning offer promise for objective gait analysis, clinical translation is limited by uncertainty r...
Lou C. Kohler Voinov, Sergio Sánchez-Manso, Raabeae Aryan et al.· Journal of NeuroEngineering...· 0 citations
BACKGROUND
Successful walking requires continuous adaptation to changing environmental demands, a process that is frequently impaired in Parkinson's disease (PD). The neural mechanisms by which subthalamic nucleus deep brain stimulation (STN-DBS) modulates adaptive gait control remain unclear.
OBJECTIVE
To characteri...
I. Hanafi, N. Pozzi, R. Habib et al.· Brain Stimulation· 0 citations
BACKGROUND
Functional electrical stimulation (FES) can improve gait in children with cerebral palsy (CP), but gait impairments vary widely between individuals and likely require stimulation of different muscle groups. Delivering real-time, multichannel, gait-triggered stimulation remains difficult to implement in clini...
G. Graffagnino, B. Sijobert, Karine Patte et al.· Artificial Organs· 0 citations
Abstract The HRX-1 is a single-degree-of-freedom, direct-drive, modular and reconfigurable robotic device designed for investigating human sensorimotor control. By examining its use, this case study highlights the opportunities offered by modular, portable and user-centred open-source design approaches for sensorimotor...
Integrating wearable motion sensing with neuromodulation may improve understanding of how alterations in neural excitability influence running performance and biomechanics. This study investigated whether intermittent theta burst stimulation (iTBS) applied to the primary motor cortex (M1), dorsolateral prefrontal corte...
Isabella Sierra, Yi-Yang Chen, Gleydciane Alexandre Fernandes et al.· Italian National Conference...· 0 citations
This is among the first studies in which a wearable hybrid SSVEP-based BCI for lower-limb exoskeleton operation applicable to real-world walking tasks was systematically demonstrated and suggests that the proposed hybrid BCI is a robust and less physically demanding alternative to a conventional control method.
Jinuk Kwon, Hyojeong Han, Jihun Hwang et al.· IEEE transactions on neural...· 0 citations
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