A somatotopic bidirectional hand prosthesis with transcutaneous electrical nerve stimulation based sensory feedback
Transcutaneous electrical nerve stimulation (TENS) was able to induce referred sensations to the phantom hand of amputees. Electroencephalographic (EEG) recordings confirmed the presence of appropriate responses in relevant cortical areas.
Bilateral cortical representation of tactile roughness
Here we identified sensory processing features associated to a basic cortical mechanism of touch touch and roughness-dependent cortical outputs comparable in the contralateral and ipsilateral sides that confirm a bilateral processing of tactile information.
Effective Synchronization of EEG and EMG for Mobile Brain/Body Imaging in Clinical Settings
Here we demonstrate that MoBI-grade synchronization can be achieved within 10-min recordings with a 1.7 ms jitter and [-5 5] ms misalignment range. Repeated spike delivery can be used to test online synchronization options and to troubleshoot synchronization issues over EEG and EMG. Synchronization cannot rely only on the equipment sampling rate advertised by manufacturers.
How are Muscle Synergies Affected by Electromyography PreProcessing?
Muscle synergies have been used to explain a variety of motor behaviors, and to steer rehabilitation strategies. However, many sources of variability (e.g., data pre-processing methods) constitute a major obstacle to the successful comparison of the results obtained by different research groups. Here we determined how variations in filter cut-off frequencies and normalization methods, affect muscle synergies.
Myoelectric activity imaging and decoding with multichannel surface EMG for enhanced everyday life applicability
The traditional muscle-specific sEMG approach requires considerable expertise to correctly position bipolar derivations over each muscle of interest, which reduces its availability to non-professional users. Here we show that a medium density sEMG approach allows to extract maps reflecting the spatial activation of muscles at different movement phases allowing easier myoelectric imaging in everyday life.
P300 in the park: feasibility of online data acquisition and integration in a Mobile Brain/Body Imaging setting
In the last years Mobile Brain/Body Imaging (MoBI) has been increasingly used to study cognition in the real world to give more ecological validity to brain imaging studies currently carried out only inside the lab. Here we demonstrate the feasibility of integrated real-time P300 protocols but underline the necessity to test delays and quantify the jitter among different signals when developing real-world MoBI applications.
Data-driven body–machine interface for the accurate control of drones
The teleoperation of nonhumanoid robots is often a demanding task, as most current control interfaces rely on mappings between the operator’s and the robot’s actions, which are determined by the design and characteristics of the interface, and may therefore be challenging to master. Here, we describe a structured methodology to identify common patterns in spontaneous interaction behaviors, to implement embodied user interfaces, and to select the appropriate sensor type and positioning.
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition.
PCA is often used by researchers as a preprocessing step before other blind source separation techniques such as ICA as it is thought to “leave out” noise (which is assumed to have lower variance) from the analysis. The results show however that PCA is likely to impair the performance of subsequent ICA algorithms.