Novel Dexterity Kit Concept Based on a Review of Hand Dexterity Literature

2020 ◽  
pp. 81-89
Author(s):  
Gaurav Saraf ◽  
Dhananjay Singh Bisht
Keyword(s):  
Hand Dexterity

Determination of the optimal cutoff values and validity of the Purdue Pegboard Test

2021 ◽  
pp. 030802262110080
Author(s):  
Ilkem Ceren Sigirtmac ◽  
Cigdem Oksuz
Keyword(s):  
Construct Validity ◽  
Hand Function ◽  
Area Under The Curve ◽  
Hand Injury ◽  
Cutoff Value ◽  
Cutoff Values ◽  
Hand Dexterity ◽  
Valid Instrument ◽  
Healthy Participants

Introduction The Purdue Pegboard Test (PPT) is crucial for assessing fine dexterity of patients with hand injury. Determining the PPT cutoff value is needed to distinguish patients with impaired hand dexterity from those with unimpaired hand dexterity. The aim of this article is to examine the construct validity of PPT and to determine its cutoff values for patients with hand injuries. Method The PPT and Disabilities of Arm Shoulder and Hand Questionnaire Turkish version (DASH-T) were used to measure hand dexterity. To examine construct validity, we measured the correlation between PPT and DASH-T. The cutoff values were determined using the receiver operating characteristic (ROC) curve generated with sensitivity and 1-specificity. We recruited 101 patients with hand injury and 162 healthy participants. Results Correlation between all subtests of PPT and DASH-T were weak ( r = −0.282; −0.473: p<0.05). The cutoff value for the assembly subtest of PPT was 24.5. The range of area under the curve (AUC) values for PPT subtests was good to excellent (AUC: 0.82–0.92). Conclusion The current study demonstrates that PPT is a valid instrument for measuring hand dexterity in patients with hand injury. Results also suggest that PPT distinguished the patients with impaired hand function from those with unimpaired hand dexterity.

scholarly journals Periinfarct rewiring supports recovery after primary motor cortex stroke

2021 ◽  
pp. 0271678X2110029
Author(s):  
Mitsouko van Assche ◽  
Elisabeth Dirren ◽  
Alexia Bourgeois ◽  
Andreas Kleinschmidt ◽  
Jonas Richiardi ◽  
...  
Keyword(s):  
Motor Cortex ◽  
Primary Motor Cortex ◽  
Spatial Scales ◽  
Premotor Cortex ◽  
Core Network ◽  
Small Spatial Scale ◽  
The Core ◽  
Hand Dexterity ◽  
Motor Network ◽  
Motor Improvement

After stroke restricted to the primary motor cortex (M1), it is uncertain whether network reorganization associated with recovery involves the periinfarct or more remote regions. We studied 16 patients with focal M1 stroke and hand paresis. Motor function and resting-state MRI functional connectivity (FC) were assessed at three time points: acute (<10 days), early subacute (3 weeks), and late subacute (3 months). FC correlates of recovery were investigated at three spatial scales, (i) ipsilesional non-infarcted M1, (ii) core motor network (M1, premotor cortex (PMC), supplementary motor area (SMA), and primary somatosensory cortex), and (iii) extended motor network including all regions structurally connected to the upper limb representation of M1. Hand dexterity was impaired only in the acute phase ( P = 0.036). At a small spatial scale, clinical recovery was more frequently associated with connections involving ipsilesional non-infarcted M1 (Odds Ratio = 6.29; P = 0.036). At a larger scale, recovery correlated with increased FC strength in the core network compared to the extended motor network (rho = 0.71; P = 0.006). These results suggest that FC changes associated with motor improvement involve the perilesional M1 and do not extend beyond the core motor network. Core motor regions, and more specifically ipsilesional non-infarcted M1, could hence become primary targets for restorative therapies.

scholarly journals A Soft-Robotic Approach to Anthropomorphic Robotic Hand Dexterity

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101483-101495 ◽  
Author(s):  
Jianshu Zhou ◽  
Xiaojiao Chen ◽  
Ukyoung Chang ◽  
Jui-Ting Lu ◽  
Clarisse Ching Yau Leung ◽  
...  
Keyword(s):  
Robotic Hand ◽  
Robotic Approach ◽  
Hand Dexterity

Improvement of hand dexterity following motor cortex rTMS in multiple sclerosis patients with cerebellar impairment

2008 ◽  
Vol 14 (7) ◽  
pp. 995-998 ◽  
Author(s):  
G Koch ◽  
S Rossi ◽  
C Prosperetti ◽  
C Codecà ◽  
F Monteleone ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Transcranial Magnetic Stimulation ◽  
Motor Cortex ◽  
Healthy Subjects ◽  
Magnetic Stimulation ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Hand Dexterity ◽  
Time Required ◽  
Multiple Sclerosis Patients ◽  
Cerebellar Symptoms

We tested the effects of 5-Hz repetitive transcranial magnetic stimulation (rTMS) over the motor cortex in multiple sclerosis (MS) subjects with cerebellar symptoms. rTMS improved hand dexterity in cerebellar patients ( n = 8) but not in healthy subjects ( n = 7), as detected by a significant transient reduction of the time required to complete the nine-hole pegboard task. rTMS of the motor cortex may be a useful approach to treat cerebellar impairment in MS patients.

scholarly journals Hand Dexterity Impairment in Patients with Cervical Myelopathy: A New Quantitative Assessment Using a Natural Prehension Movement

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Masao Omori ◽  
Satoshi Shibuya ◽  
Tsuyoshi Nakajima ◽  
Takashi Endoh ◽  
Shinya Suzuki ◽  
...  
Keyword(s):  
Cervical Myelopathy ◽  
Movement Time ◽  
Objective Assessment ◽  
Cord Compression ◽  
Assessment System ◽  
Small Object ◽  
Reach To Grasp ◽  
Japanese Orthopedic Association ◽  
Hand Dexterity ◽  
Grip And Release Test

Cervical myelopathy (CM) caused by spinal cord compression can lead to reduced hand dexterity. However, except for the 10 sec grip-and-release test, there is no objective assessment system for hand dexterity in patients with CM. Therefore, we evaluated the hand dexterity impairment of patients with CM objectively by asking them to perform a natural prehension movement. Twenty-three patients with CM and 30 age-matched controls were asked to reach for and grasp a small object with their right thumb and index finger and to subsequently lift and hold it. To examine the effects of tactile afferents from the fingers, objects with surface materials of differing textures (silk, suede, and sandpaper) were used. All patients also underwent the Japanese Orthopedic Association (JOA) test. Preoperative patients showed significantly greater grip aperture during reach-to-grasp movements and weaker grip force than controls only while attempting to lift the most slippery object (silk). Patients, immediately after surgery, (n=15) tended to show improvements in the JOA score and in reaction time and movement time with respect to reaching movements. Multiple regression analysis demonstrated that some parameters of the prehension task could successfully predict subjective evaluations of dexterous hand movements based on JOA scores. These results suggest that quantitative assessments using prehension movements could be useful to objectively evaluate hand dexterity impairment in patients with CM.

scholarly journals Rheumatoid arthritis: hand function, activities of daily living, grip strength and essential assistive devices.

Curationis ◽  
2003 ◽  
Vol 26 (3) ◽  
Author(s):  
I Shipham
Keyword(s):  
Rheumatoid Arthritis ◽  
Activities Of Daily Living ◽  
Grip Strength ◽  
Daily Living ◽  
Hand Function ◽  
Assistive Devices ◽  
Hand Dexterity

Persons with rheumatoid arthritis use assistive devices to enable them, in spite of impaired hand dexterity and grip strength, to manage Activities of Daily Living (ADL).

scholarly journals Does non-invasive brain stimulation modify hand dexterity? Protocol for a systematic review and meta-analysis

BMJ Open ◽  
2017 ◽  
Vol 7 (6) ◽  
pp. e015669 ◽  
Author(s):  
Anthony Terrence O'Brien ◽  
Gabriel Torrealba Acosta ◽  
Rodrigo Huerta ◽  
Aurore Thibaut
Keyword(s):  
Systematic Review ◽  
Brain Stimulation ◽  
Meta Analysis ◽  
Non Invasive ◽  
Hand Dexterity

scholarly journals sEMG Signal Acquisition Strategy towards Hand FES Control

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Cinthya Lourdes Toledo-Peral ◽  
Josefina Gutiérrez-Martínez ◽  
Jorge Airy Mercado-Gutiérrez ◽  
Ana Isabel Martín-Vignon-Whaley ◽  
Arturo Vera-Hernández ◽  
...  
Keyword(s):  
Electrode Placement ◽  
Signal Acquisition ◽  
Semg Signal ◽  
Motion Patterns ◽  
Upper Limb Rehabilitation ◽  
Hand Motion ◽  
Hand Dexterity ◽  
Severe Fatigue ◽  
Patients Experience ◽  
Limb Rehabilitation

Due to damage of the nervous system, patients experience impediments in their daily life: severe fatigue, tremor or impaired hand dexterity, hemiparesis, or hemiplegia. Surface electromyography (sEMG) signal analysis is used to identify motion; however, standardization of electrode placement and classification of sEMG patterns are major challenges. This paper describes a technique used to acquire sEMG signals for five hand motion patterns from six able-bodied subjects using an array of recording and stimulation electrodes placed on the forearm and its effects over functional electrical stimulation (FES) and volitional sEMG combinations, in order to eventually control a sEMG-driven FES neuroprosthesis for upper limb rehabilitation. A two-part protocol was performed. First, personalized templates to place eight sEMG bipolar channels were designed; with these data, a universal template, called forearm electrode set (FELT), was built. Second, volitional and evoked movements were recorded during FES application. 95% classification accuracy was achieved using two sessions per movement. With the FELT, it was possible to perform FES and sEMG recordings simultaneously. Also, it was possible to extract the volitional and evoked sEMG from the raw signal, which is highly important for closed-loop FES control.

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