Standards

A Functional Connectivity-Based Model with a Lightweight Attention Mechanism for Depression Recognition Using EEG signals
A Functional Connectivity-Based Model with a Lightweight Attention Mechanism for Depression Recognition Using EEG signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Numerous studies on depression recognition utilize attention mechanisms as tools for feature extraction. Applying the standard multi-head self-attention mechanism to the spatial domain of EEG data is a feasible approach… read more

Comparing Powered Wheelchair Driving Characteristics of Real Driving and Two Types of Simulated Driving
Comparing Powered Wheelchair Driving Characteristics of Real Driving and Two Types of Simulated Driving 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
We aimed to gather evidence on the feasibility of using simulator-based driving assessments for prescribing powered mobility devices (PMDs). Therefore, we compared the driving characteristics of real driving and two… read more

Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring
Author(s)3: Aleš Procházka, Ondřej Dostál, Pavel Cejnar, Hagar Ibrahim Mohamed, Zbyšek Pavelek, Martin Vališ, Oldřich Vyšata
Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring 526 336 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility…

read more
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes

From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes
Author(s)3: Rober Boshra, Kiret Dhindsa, Omar Boursalie, Kyle I. Ruiter, Ranil Sonnadara, Reza Samavi, Thomas E. Doyle, James P. Reilly, John F. Connolly
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

         There has been increased effort to understand the neurophysiological effects of concussion aimed to move diagnosis and identification beyond current subjective behavioral assessments that suffer from poor sensitivity. Recent…

read more
Search this website