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 …
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 …
track physical activity for both athletes and the general public. Their immense potential to …
Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review
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 …
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
Bradykinesia is a cardinal hallmark of Parkinson's disease (PD). Improvement in
bradykinesia is an important signature of effective treatment. Finger tapping is commonly …
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 …
accurate diagnosis, particularly during early-stage disease, when the symptoms may be …
Improving naturalistic neuroscience with patient engagement strategies
Introduction The clinical implementation of chronic electrophysiology-driven adaptive deep
brain stimulation (DBS) algorithms in movement disorders requires reliable representation of …
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
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 …
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
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 …
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
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 …
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 …
abnormal postures and involuntary movements. Current evaluation tools in DCP are …