Wearable Inertial Sensors for Fall Risk Assessment and Prediction in Older Adults: A Systematic Review and Meta-Analysis
Wearable inertial sensors have been widely investigated for fall risk assessment and prediction in older adults. However, heterogeneity in published studies in terms of sensor location, task assessed and features extracted is high, making challenging evidence-based design of new studies and/or real-life applications.
Perceptual and model-based evaluation of ideal time-frequency noise reduction in hearing impaired listeners
State-of-the-art hearing aids (HAs) try to overcome the deficit of poor speech intelligibility (SI) in noisy listening environments using digital noise reduction (NR) techniques. The application of timefrequency masks to the noisy sound input is a common NR technique to increase SI.
Psychophysical Evaluation of Subdermal Electrical Stimulation in Relation to Prosthesis Sensory Feedback
This study evaluated the psychophysical properties of subdermal electrical stimulation to investigate its feasibility in providing sensory feedback for limb prostheses. The detection threshold (DT), pain threshold (PT), just noticeable difference (JND), as well as the elicited sensation quality, comfort, intensity and location were assessed in 16 healthy volunteers during stimulation of the ventral and dorsal forearm with subdermal electrodes.
IMU-Based Wrist Rotation Control of a Transradial Myoelectric Prosthesis
This paper describes a control method intended to facilitate improved control of a myoelectric prosthesis containing a wrist rotator.
Uncertainty Quantification of Oscillation Suppression during DBS in a Coupled Finite Element and Network Model
Models of the cortico-basal ganglia network and volume conductor models of the brain can provide insight into the mechanisms of action of deep brain stimulation (DBS).
Mixed Neural Network Approach for Temporal Sleep Stage Classification
This paper proposes a practical approach to addressing limitations posed by using of single-channel electroencephalography (EEG) for sleep stage classification.