Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning

R Peach, M Friedrich, L Fronemann… - npj Digital …, 2024 - nature.com
Dystonia is a neurological movement disorder characterised by abnormal involuntary
movements and postures, particularly affecting the head and neck. However, current clinical …

IMU-based systems for upper limb kinematic analysis in clinical applications: a systematic review

A Favata, R Gallart-Agut, R Pàmies-Vilà… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Wearable inertial sensors have undergone great development, offering an easy approach to
track physical activity for both athletes and the general public. Their immense potential to …

Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review

X Wang, J Zhang, SQ Xie, C Shi, J Li… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
With the number of people surviving a stroke soaring, automated upper limb impairment
assessment has been extensively investigated in the past decades since it lays the …

A first methodological development and validation of ReTap: An open-source UPDRS finger tapping assessment tool based on accelerometer-data

JGV Habets, RK Spooner, V Mathiopoulou… - Sensors, 2023 - mdpi.com
Bradykinesia is a cardinal hallmark of Parkinson's disease (PD). Improvement in
bradykinesia is an important signature of effective treatment. Finger tapping is commonly …

Convolutional neural network based detection of early stage Parkinson's disease using the six minute walk test

H Choi, C Youm, H Park, B Kim, J Hwang… - Scientific Reports, 2024 - nature.com
The heterogeneity of Parkinson's disease (PD) presents considerable challenges for
accurate diagnosis, particularly during early-stage disease, when the symptoms may be …

Improving naturalistic neuroscience with patient engagement strategies

LK Feldmann, J Roudini, AA Kühn… - Frontiers in human …, 2024 - frontiersin.org
Introduction The clinical implementation of chronic electrophysiology-driven adaptive deep
brain stimulation (DBS) algorithms in movement disorders requires reliable representation of …

Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson's Disease Using Machine Learning

RP Bremm, L Pavelka, MM Garcia, L Mombaerts… - Sensors, 2024 - mdpi.com
Wearable sensors could be beneficial for the continuous quantification of upper limb motor
symptoms in people with Parkinson's disease (PD). This work evaluates the use of two …

[HTML][HTML] A Statistical Approach for Functional Reach-to-Grasp Segmentation Using a Single Inertial Measurement Unit

G Dotti, M Caruso, D Fortunato, M Knaflitz, A Cereatti… - Sensors, 2024 - mdpi.com
The aim of this contribution is to present a segmentation method for the identification of
voluntary movements from inertial data acquired through a single inertial measurement unit …

Biodegradable, Self‐Adhesive, Stretchable, Transparent, and Versatile Electronic Skins Based on Intrinsically Hydrophilic Poly (Caproactone‐Urethane) Elastomer

PG Reddy, V Sharma, VS Parihar… - Advanced …, 2024 - Wiley Online Library
In biomedical sciences, there is a demand for electronic skins with highly sensitive tactile
sensors that have applications in patient monitoring, human–machine interfaces, and on …

Reliability and Discriminative Validity of Wearable Sensors for the Quantification of Upper Limb Movement Disorders in Individuals with Dyskinetic Cerebral Palsy

I Vanmechelen, S Bekteshi, H Haberfehlner, H Feys… - Sensors, 2023 - mdpi.com
Background—Movement patterns in dyskinetic cerebral palsy (DCP) are characterized by
abnormal postures and involuntary movements. Current evaluation tools in DCP are …