On the modeling of biomechanical systems for human movement analysis: a narrative review

I Roupa, MR da Silva, F Marques… - … Methods in Engineering, 2022 - Springer
The rising importance of movement analysis led to the development of more complex
biomechanical models to describe in detail the human motion patterns. The models scaled …

Quantitative modeling of spasticity for clinical assessment, treatment and rehabilitation

Y Cha, A Arami - Sensors, 2020 - mdpi.com
Spasticity, a common symptom in patients with upper motor neuron lesions, reduces the
ability of a person to freely move their limbs by generating unwanted reflexes. Spasticity can …

Validation of a new biomechanical model to measure muscle tone in spastic muscles

PG Lindberg, J Gäverth, M Islam… - … and neural repair, 2011 - journals.sagepub.com
Background. There is no easy and reliable method to measure spasticity, although it is a
common and important symptom after a brain injury. Objective. The aim of this study was to …

Rigidity in Parkinson's disease: evidence from biomechanical and neurophysiological measures

F Asci, M Falletti, A Zampogna, M Patera, M Hallett… - Brain, 2023 - academic.oup.com
Although rigidity is a cardinal motor sign in patients with Parkinson's disease (PD), the
instrumental measurement of this clinical phenomenon is largely lacking, and its …

Development of a haptic elbow spasticity simulator (HESS) for improving accuracy and reliability of clinical assessment of spasticity

HS Park, J Kim, DL Damiano - IEEE transactions on neural …, 2012 - ieeexplore.ieee.org
This paper presents the framework for developing a robotic system to improve accuracy and
reliability of clinical assessment. Clinical assessment of spasticity tends to have poor …

Measurement properties of the NeuroFlexor device for quantifying neural and non-neural components of wrist hyper-resistance in chronic stroke

A Andringa, E Van Wegen, I Van De Port… - Frontiers in …, 2019 - frontiersin.org
Introduction: Differentiating between the components of wrist hyper-resistance post stroke,
ie, pathological neuromuscular activation (“spasticity”) and non-neural biomechanical …

Neural and non-neural related properties in the spastic wrist flexors: an optimization study

R Wang, P Herman, Ö Ekeberg, J Gäverth… - Medical Engineering & …, 2017 - Elsevier
Quantifying neural and non-neural contributions to increased joint resistance in spasticity is
essential for a better understanding of its pathophysiological mechanisms and evaluating …

[HTML][HTML] Quantifying neural and non-neural components of wrist hyper-resistance after stroke: comparing two instrumented assessment methods

A Andringa, C Meskers, I van de Port… - Medical engineering & …, 2021 - Elsevier
Patients with poor upper limb motor recovery after stroke are likely to develop increased
resistance to passive wrist extension, ie, wrist hyper-resistance. Quantification of the …

Biomechanical parameters of the elbow stretch reflex in chronic hemiparetic stroke

JG McPherson, AHA Stienen, BD Schmit… - Experimental brain …, 2019 - Springer
We sought to determine the relative velocity sensitivity of stretch reflex threshold angle and
reflex stiffness during stretches of the paretic elbow joint in individuals with chronic …

The role of the joint capsule in the stability of the elbow joint

F Wang, H Wang, M Li, S Jia, J Wang, J Zhang… - Medical & Biological …, 2023 - Springer
Existing studies lack a clear understanding of the interaction of the joint capsule with
surrounding tissues and the local mechanical environment. Particularly, a finite element …