Effects of functional electrical stimulation on gait characteristics in healthy individuals: a systematic review

T Aout, M Begon, B Jegou, N Peyrot, T Caderby - Sensors, 2023 - mdpi.com
Background: This systematic review aimed to provide a comprehensive overview of the
effects of functional electrical stimulation (FES) on gait characteristics in healthy individuals …

Fall risk assessment in stroke survivors: a machine learning model using detailed motion data from common clinical tests and motor-cognitive dual-tasking

M Abdollahi, E Rashedi, S Jahangiri, PM Kuber… - Sensors, 2024 - mdpi.com
Background: Falls are common and dangerous for stroke survivors. Current fall risk
assessment methods rely on subjective scales. Objective sensor-based methods could …

Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity

H Zhao, J Xie, Y Chen, J Cao, WH Liao… - Cognitive Neurodynamics, 2024 - Springer
The investigation into the distinctive difference of gait is of significance for the clinical
diagnosis of neurodegenerative diseases. However, human gait is affected by many factors …

Home-based exercise training by using a smartphone app in patients with Parkinson's disease: a feasibility study

M Putzolu, V Manzini, M Gambaro, C Cosentino… - Frontiers in …, 2023 - frontiersin.org
Background Parkinson's disease (PD) patients experience deterioration in mobility with
consequent inactivity and worsened health and social status. Physical activity and …

Multiscale SVD entropy for the analysis of gait dynamics

A Marin-Lopez, F Martinez-Martinez… - … Signal Processing and …, 2024 - Elsevier
This work explores the use of singular value decomposition (SVD) entropy to characterize
the complexity of stride interval sequences from gait dynamics. The computation of the …

CNN-based self-attention weight extraction for fall event prediction using balance test score

Y El Marhraoui, S Bouilland, M Boukallel… - Sensors, 2023 - mdpi.com
Injury, hospitalization, and even death are common consequences of falling for elderly
people. Therefore, early and robust identification of people at risk of recurrent falling is …

Gait indicators contribute to screening cognitive impairment: a single-and dual-task gait study

X Wang, W Yu, L Huang, M Yan, W Zhang, J Song… - Brain sciences, 2023 - mdpi.com
Background: Screening cognitive impairment is complex and not an appliance for early
screening. Gait performance is strongly associated with cognitive impairment. Objectives …

Evaluating the Effect of Tissue Stimulation at Different Frequencies on Breast Lesion Classification Based on Nonlinear Features Using a Novel Radio Frequency …

EN Ghehi, A Fallah, S Rashidi, MM Dastjerdi - Heliyon, 2024 - cell.com
Abstract Objective Radio Frequency Time Series (RF TS) is a cutting-edge ultrasound
approach in tissue typing. The RF TS does not provide dynamic insights into the propagation …

The association between methylmalonic acid, a biomarker of mitochondrial dysfunction, and cause-specific mortality in Alzheimer's disease and Parkinson's disease

F Zhan, G Lin, L Su, L Xue, K Duan, L Chen, J Ni - Heliyon, 2024 - cell.com
Background Alzheimer's disease (AD) and Parkinson's disease (PD) are the leading causes
of death among the elderly. Recent research has demonstrated that mitochondrial …

Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition

A Tigrini, S Ranaldi, F Verdini, R Mobarak, M Scattolini… - Bioengineering, 2024 - mdpi.com
Recent studies have highlighted the possibility of using surface electromyographic (EMG)
signals to develop human–computer interfaces that are also able to recognize complex …