GAIT ANALYSIS AND CLASSIFICATION ON SUBJECTS WITH PARKINSON’S DISEASE

2015 ◽  
Vol 77 (18) ◽  
Author(s):  
Chia Min Lim ◽  
Hu Ng ◽  
Timothy Tzen Vun Yap ◽  
Chiung Ching Ho
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Average Absolute Deviation ◽  
Absolute Deviation ◽  
Data Set ◽  
Normal People ◽  
Proposed Model ◽  
Gait Features ◽  
Rbf Kernel ◽  
Selection Of

The objective of this paper is to analyse the gait of subjects with suffering Parkinson's Disease (PD), plus to differentiate their gait from those of normal people. The data is obtained from a medical gait database known as Gaitpdb [1]. In the data set, there are 73 control subjects and 93 subjects with PD. In our study, we first obtained the gait features using statistical analysis, which include minimum, maximum, median, kurtosis, mean, skewness, standard deviation and average absolute deviation of the gait signal. Next, selection of the extracted features is performed using PSO search, Tabu search and Ranker. Finally the selected features will undergo classification using BFT, BPANN, k-NN, SVM with Ln kernel, SVM with Poly kernel and SVM with Rbf kernel. From the experimental results, the proposed model achieved average of 66.43%, 89.97%, 87.00%, 88.47%, 86.80% and 87.53% correct classification rates respectively.

scholarly journals Dementia with Parkinson's disease: Clinical diagnosis, neuropsychological aspects and treatment

2008 ◽  
Vol 2 (4) ◽  
pp. 261-266
Author(s):  
Jorge Lorenzo Otero
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Lewy Body ◽  
Task Force ◽  
Lewy Body Dementia ◽  
Data Bases ◽  
Main Text ◽  
Clinical Diagnoses ◽  
Movement Disorder Society ◽  
Selection Of

Abstract Dementia with Parkinson's disease represents a controversial issue in the complex group of alpha-synucleinopathies. The author acknowledges the concept of a "continuum" between Parkinson disease's (PD), Lewy body dementia (LBD), and dementia in Parkinson's disease (PDD). However, the practicing neurologist needs to identify the phenotypic signs of each dementia. The treatment and prognosis are different in spite of the overlaps between them. The main aim of this review was to characterize the clinical diagnoses of dementia associated with Parkinson's disease (PDD). Secondarily, the review discussed some epidemiological and neuropsychological issues. Selection of articles was not systematic and reflects the author's opinion, where the main text selected was the recommendations from the Movement Disorder Society Task Force for PDD diagnosis. The Pub Med, OVID, and Proquest data bases were used for the search.

scholarly journals A Proposed Heuristic Optimization Algorithm for Detecting Network Attacks

2019 ◽  
Vol 2 (4) ◽  
pp. 530
Author(s):  
Amr Hassan Yassin ◽  
Hany Hamdy Hussien
Keyword(s):  
Neural Network ◽  
Heuristic Algorithms ◽  
Feed Forward Neural Network ◽  
Data Set ◽  
Network Attacks ◽  
Security Issues ◽  
Proposed Model ◽  
Network Intrusions ◽  
Attack Patterns ◽  
Selection Of

Due to the exponential growth of E-Business and computing capabilities over the web for a pay-for-use groundwork, the risk factors regarding security issues also increase rapidly. As the usage increases, it becomes very difficult to identify malicious attacks since the attack patterns change. Therefore, host machines in the network must continually be monitored for intrusions since they are the final endpoint of any network. The purpose of this work is to introduce a generalized neural network model that has the ability to detect network intrusions. Two recent heuristic algorithms inspired by the behavior of natural phenomena, namely, the particle swarm optimization (PSO) and gravitational search (GSA) algorithms are introduced. These algorithms are combined together to train a feed forward neural network (FNN) for the purpose of utilizing the effectiveness of these algorithms to reduce the problems of getting stuck in local minima and the time-consuming convergence rate. Dimension reduction focuses on using information obtained from NSL-KDD Cup 99 data set for the selection of some features to discover the type of attacks. Detecting the network attacks and the performance of the proposed model are evaluated under different patterns of network data.

scholarly journals Standardised Neuropsychological Assessment for the Selection of Patients Undergoing DBS for Parkinson’s Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jennifer A. Foley ◽  
Tom Foltynie ◽  
Patricia Limousin ◽  
Lisa Cipolotti
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Mood Disorder ◽  
Neuropsychological Assessment ◽  
Careful Consideration ◽  
Baseline Risk ◽  
General Decline ◽  
Before And After ◽  
Selection Of

DBS is an increasingly offered advanced treatment for Parkinson’s disease (PD). Neuropsychological assessment is considered to be an important part of the screening for selection of candidates for this treatment. However, no standardised screening procedure currently exists. In this study, we examined the use of our standardised neuropsychological assessment for the evaluation of surgical candidates and to identify risk factors for subsequent decline in cognition and mood. A total of 40 patients were assessed before and after DBS. Evaluation of mood and case notes review was also undertaken. Before DBS, patients with PD demonstrated frequent impairments in intellectual functioning, memory, attention, and executive function, as well as high rates of mood disorder. Post-DBS, there was a general decline in verbal fluency only, and in one patient, we documented an immediate and irreversible global cognitive decline, which was associated with older age and more encompassing cognitive deficits at baseline. Case note review revealed that a high proportion of patients developed mood disorder, which was associated with higher levels of depression at baseline and greater reduction in levodopa medication. We conclude that our neuropsychological assessment is suitable for the screening of candidates and can identify baseline risk factors, which requires careful consideration before and after surgery.

Analyses of nursing home residents with Parkinson's disease using the minimum data set

2002 ◽  
Vol 8 (5) ◽  
pp. 369-380 ◽  
Author(s):  
Robert J. Buchanan ◽  
Suojin Wang ◽  
Chunfeng Huang ◽  
Patricia Simpson ◽  
Bala V. Manyam
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Nursing Home ◽  
Nursing Home Residents ◽  
Minimum Data Set ◽  
Data Set ◽  
Minimum Data

scholarly journals Is Freezing of Gait in Parkinson's Disease a Result of Multiple Gait Impairments? Implications for Treatment

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Meir Plotnik ◽  
Nir Giladi ◽  
Jeffrey M. Hausdorff
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Freezing Of Gait ◽  
Theoretical Framework ◽  
Gait Control ◽  
Gait Symmetry ◽  
Gait Features ◽  
New Treatment ◽  
Functional Gait ◽  
Gait Impairments

Several gait impairments have been associated with freezing of gait (FOG) in patients with Parkinson's disease (PD). These include deteriorations in rhythm control, gait symmetry, bilateral coordination of gait, dynamic postural control and step scaling. We suggest that these seemingly independent gait features may have mutual interactions which, during certain circumstances, jointly drive the predisposed locomotion system into a FOG episode. This new theoretical framework is illustrated by the evaluation of the potential relationships between the so-called “sequence effect”, that is, impairments in step scaling, and gait asymmetry just prior to FOG. We further discuss what factors influence gait control to maintain functional gait. “Triggers”, for example, such as attention shifts or trajectory transitions, may precede FOG. We propose distinct categories of interventions and describe examples of existing work that support this idea: (a) interventions which aim to maintain a good level of locomotion control especially with respect to aspects related to FOG; (b) those that aim at avoiding FOG “triggers”; and (c) those that merely aim to escape from FOG once it occurs. The proposed theoretical framework sets the stage for testable hypotheses regarding the mechanisms that lead to FOG and may also lead to new treatment ideas.

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