Diagnostic Accuracy of Three Sensory Tests for Diagnosis of Sensory Disturbances

Li, Xiangming; Yang, Yi; Hou, Yi; Yang, Jiantao; Qin, Bengang; Fu, Guo; Gu, Liqiang

doi:10.1055/s-0034-1384819

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Then, the analysis is as follows: firstly, it is about accuracy [ 50 , 51 ]. The fault detection probabilities with time are utilized to reveal the accuracy ability of the related module.…”

Section: Simulation and Analysis Resultsmentioning

confidence: 99%

AF-DHNN: Fuzzy Clustering and Inference-Based Node Fault Diagnosis Method for Fire Detection

Jin

Zhang

Wang

2015

Sensors

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Wireless Sensor Networks (WSNs) have been utilized for node fault diagnosis in the fire detection field since the 1990s. However, the traditional methods have some problems, including complicated system structures, intensive computation needs, unsteady data detection and local minimum values. In this paper, a new diagnosis mechanism for WSN nodes is proposed, which is based on fuzzy theory and an Adaptive Fuzzy Discrete Hopfield Neural Network (AF-DHNN). First, the original status of each sensor over time is obtained with two features. One is the root mean square of the filtered signal (FRMS), the other is the normalized summation of the positive amplitudes of the difference spectrum between the measured signal and the healthy one (NSDS). Secondly, distributed fuzzy inference is introduced. The evident abnormal nodes’ status is pre-alarmed to save time. Thirdly, according to the dimensions of the diagnostic data, an adaptive diagnostic status system is established with a Fuzzy C-Means Algorithm (FCMA) and Sorting and Classification Algorithm to reducing the complexity of the fault determination. Fourthly, a Discrete Hopfield Neural Network (DHNN) with iterations is improved with the optimization of the sensors’ detected status information and standard diagnostic levels, with which the associative memory is achieved, and the search efficiency is improved. The experimental results show that the AF-DHNN method can diagnose abnormal WSN node faults promptly and effectively, which improves the WSN reliability.

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“…Then, the analysis is as follows: firstly, it is about accuracy [ 50 , 51 ]. The fault detection probabilities with time are utilized to reveal the accuracy ability of the related module.…”

Section: Simulation and Analysis Resultsmentioning

confidence: 99%

AF-DHNN: Fuzzy Clustering and Inference-Based Node Fault Diagnosis Method for Fire Detection

Jin

Zhang

Wang

2015

Sensors

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“…16 This included blinded sensory testing with Semmes-Weinstein monofilaments (Sammons Preston), static and moving 2-point discrimination, vibration, temperature, the Moberg pick-up test with eyes open and closed (timed), and stereognosis. 24,25 The Moberg pick-up test is a test of functional sensibility administered with a standard protocol. The patient uses his/her fingers to pick up the objects and the time taken to accomplish the task is noted.…”

Section: Methodsmentioning

confidence: 99%

The Influence of Hand Dominance in Wrist Fracture Post-Operative Functional Evaluation

et al. 2020

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Sensorimotor testing is used to measure outcomes in surgery, to document results of treatment and rehabilitation, and to compare results between surgeons, therapists, and institutions. When performing sensorimotor testing, failure to address dominant side differences may cause a bias in evaluation of outcomes. This study evaluated the effect of hand dominance on outcomes testing performed on patients following surgery for distal radius fractures (DRF). We hypothesized that the injured dominant hand will perform differently than the injured non-dominant hand. This is a retrospective study of patients following DRF treated surgically and evaluated in therapy. The patients were evaluated at fixed intervals: initially, at 6 weeks, and at 3 months post-surgery. Testing included grip strength, monofilaments, static and moving 2-point discrimination, Moberg testing, and stereognosis. Sixty patients included 46 (76.6%) females. Age averaged 62.1 (standard deviation: 16.9) years, and 54 were right-handed (90%). There were differences between dominant and non-dominant hand injury in 2 of 9 tests of sensibility for each time period, including little finger monofilament and Moberg testing initially, and moving 2-point discrimination in the little finger, monofilament testing of the thumb at 3 months. Both groups improved between initial and 3-month evaluation without differences in amount of improvement. Despite some significant differences in the applied tests between dominant and non-dominant injured hands, our results do not support correction for hand-dominance when using the described examinations in evaluating outcomes following DRF surgery.

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“…28 This included blinded sensory testing with Semmes-Weinstein monofilaments (Sammons Preston, Bolingbrook, IL), static and moving 2-point discrimination, vibration, temperature, the Moberg's pick-up test (timed), stereognosis, and proprioception. 29,30 The testing for proprioception, as described, requires sensory input first, or an afferent portion, and then, when bringing the opposite limb into the same position there is a motor or efferent component. This test, therefore, involves both the involved and the uninvolved side (as the afferent and efferent limbs of the movement).…”

Section: The Evaluationmentioning

confidence: 99%

Postoperative Treatment of Distal Radius Fractures Using Sensorimotor Rehabilitation

et al. 2018

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Background Sensorimotor and specifically proprioception sense has been used in rehabilitation to treat neurological and joint injuries. These feedback loops are not well understood or implemented in wrist treatment. We observed a temporary sensorimotor loss, following distal radius fractures (DRF) that should be addressed postsurgery. Purpose The purpose of this prospective therapeutic study was to compare the outcomes of patients following surgery for DRF treated using a sensorimotor treatment protocol with those patients treated according to the postoperative standard of care. Patients and Methods Patients following surgery for DRF sent for hand therapy were eligible for the study. Both the evaluation and treatment protocols included a comprehensive sensorimotor panel. Patients were randomized into standard and standard plus sensorimotor postoperative therapy and were evaluated a few days following surgery, at 6 weeks, and 3 months postsurgery. Results Sixty patients following surgery were randomized into the two treatment regimens. The initial evaluation was similar for both groups and both demonstrated significant sensorimotor deficits, following surgery for DRF. There was documented sensorimotor and functional improvement in both groups with treatment. The clinical results were better in the group treated with the sensorimotor-proprioception protocol mostly in the wrist; however, not all of the differences were significant. Conclusion Patients after surgery for DRF demonstrate significant sensorimotor deficits which may improve faster when utilizing a comprehensive sensorimotor treatment protocol. However, we did not demonstrate efficacy of the protocol in treating proprioceptive deficits. Further study should include refinement of functional outcome evaluation, studying of the treatment protocol, and establishment of sensorimotor therapeutic guidelines for other conditions. Level of Evidence This is a level II, therapeutic study.

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Diagnostic Accuracy of Three Sensory Tests for Diagnosis of Sensory Disturbances

Cited by 7 publications

References 24 publications

AF-DHNN: Fuzzy Clustering and Inference-Based Node Fault Diagnosis Method for Fire Detection

AF-DHNN: Fuzzy Clustering and Inference-Based Node Fault Diagnosis Method for Fire Detection

The Influence of Hand Dominance in Wrist Fracture Post-Operative Functional Evaluation

Postoperative Treatment of Distal Radius Fractures Using Sensorimotor Rehabilitation

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