AIMC Topic: Electrodes
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EEG-based single-channel authentication systems with optimum electrode placement for different mental activities.
Biomedical journal
Sep 24, 2019
BACKGROUND: Electroencephalogram (EEG) signals of a brain contain a unique pattern for each person and the potential for biometric applications. Authentication and security is a very important issue in our life and brainwave-based authentication is a...
Obstacle effects on electrocommunication with applications to object detection of underwater robots.
Bioinspiration & biomimetics
Aug 16, 2019
Some fish species communicate electrically (termed electrocommunication) in turbid waters where other communication modalities fail. Inspired by this biological phenomenon, we have developed an artificial electrocommunication system for underwater ro...
Stretchable pumps for soft machines.
Nature
Aug 15, 2019
Machines made of soft materials bridge life sciences and engineering. Advances in soft materials have led to skin-like sensors and muscle-like actuators for soft robots and wearable devices. Flexible or stretchable counterparts of most key mechatroni...
Unsupervised word embeddings capture latent knowledge from materials science literature.
Nature
Jul 3, 2019
The overwhelming majority of scientific knowledge is published as text, which is difficult to analyse by either traditional statistical analysis or modern machine learning methods. By contrast, the main source of machine-interpretable data for the ma...
Prototyping a memristive-based device to analyze neuronal excitability.
Biophysical chemistry
Jun 24, 2019
Many efforts have been spent in the last decade for the development of nanoscale synaptic devices integrated into neuromorphic circuits, trying to emulate the behavior of natural synapses. The study of brain properties with the standard approaches ba...
Effects of Transcranial Direct Current Stimulation (tDCS) Combined With Wrist Robot-Assisted Rehabilitation on Motor Recovery in Subacute Stroke Patients: A Randomized Controlled Trial.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 3, 2019
Both transcranial direct current stimulation (tDCS) and wrist robot-assisted training have demonstrated to be promising approaches for stroke rehabilitation. However, the effects of the combination of the two treatments in subacute stroke patients ar...
Transcranial Direct Current Stimulation
Motor Cortex
Electrodes
Upper Extremity
Stroke Rehabilitation
Adolescent
Treatment Outcome
Recovery of Function
Robotics
Single-Blind Method
Electroencephalography
Wrist
Combined Modality Therapy
Adult
Biomechanical Phenomena
Male
Middle Aged
Aged
Humans
Aged, 80 and over
Algorithms
Young Adult
Female
Emotion Recognition from Multiband EEG Signals Using CapsNet.
Sensors (Basel, Switzerland)
May 13, 2019
Emotion recognition based on multi-channel electroencephalograph (EEG) signals is becoming increasingly attractive. However, the conventional methods ignore the spatial characteristics of EEG signals, which also contain salient information related to...
Equivalent circuit models for a biomembrane impedance sensor and analysis of electrochemical impedance spectra based on support vector regression.
Medical & biological engineering & computing
Apr 2, 2019
In this study, an electrochemical impedance biosensor was developed as a simple and fast method for real-time monitoring of biofilm binding properties via continuous impedance spectroscopy. To prepare the sensing membrane, cells were immobilized onto...
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 25, 2019
Research on machine learning approaches for upper-limb prosthesis control has shown impressive progress. However, translating these results from the lab to patient's everyday lives remains a challenge because advanced control schemes tend to break do...
Human electrocortical dynamics while stepping over obstacles.
Scientific reports
Mar 18, 2019
To better understand human brain dynamics during visually guided locomotion, we developed a method of removing motion artifacts from mobile electroencephalography (EEG) and studied human subjects walking and running over obstacles on a treadmill. We ...
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