Diagnosis of Parkinson’s disease using Gait Dynamics and Images

Parkinson’s disease is a neuro-degenerative disorder in which dopamine producing neurons in the brain structure called substantia nigra has damaged entire over time. PD leads to number of modal problems and mental disabilities. This paper presents a gait dynamic technology for the early stage predic...

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Published inProcedia computer science Vol. 165; pp. 428 - 434
Main Authors Nancy Noella, R S, Gupta, Divyansh, Priyadarshini, J
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2019
Subjects
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ISSN1877-0509
1877-0509
DOI10.1016/j.procs.2020.01.002

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Abstract Parkinson’s disease is a neuro-degenerative disorder in which dopamine producing neurons in the brain structure called substantia nigra has damaged entire over time. PD leads to number of modal problems and mental disabilities. This paper presents a gait dynamic technology for the early stage prediction of Parkinson’s disease and a discussion on the Image processing technologies related to PD diagnosis. The analysis of gait in Parkinson’s disease helps to understand the behaviour of the neural system and so the early detection of Parkinson’s disease is possible. This can help neurologists to improve their treatment and to give guidance in reintegrate programs. This paper introduces an efficient multi-sensor data analysis of gait force in PD with respect to healthy subjects using PARAFAC model. Tensor decomposition is proposed in the work for the analysis of multi-sensors data. The data are collected from PhysioNet gait database consist of multichannel recording from force sensors of 93 patients with PD and 73 healthy subjects.
AbstractList Parkinson’s disease is a neuro-degenerative disorder in which dopamine producing neurons in the brain structure called substantia nigra has damaged entire over time. PD leads to number of modal problems and mental disabilities. This paper presents a gait dynamic technology for the early stage prediction of Parkinson’s disease and a discussion on the Image processing technologies related to PD diagnosis. The analysis of gait in Parkinson’s disease helps to understand the behaviour of the neural system and so the early detection of Parkinson’s disease is possible. This can help neurologists to improve their treatment and to give guidance in reintegrate programs. This paper introduces an efficient multi-sensor data analysis of gait force in PD with respect to healthy subjects using PARAFAC model. Tensor decomposition is proposed in the work for the analysis of multi-sensors data. The data are collected from PhysioNet gait database consist of multichannel recording from force sensors of 93 patients with PD and 73 healthy subjects.
Author Priyadarshini, J
Gupta, Divyansh
Nancy Noella, R S
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Cites_doi 10.1109/ACCESS.2018.2851382
10.1007/3-540-45468-3_80
10.1016/j.neucli.2013.10.127
10.1109/TNSRE.2017.2732448
10.1016/j.bspc.2014.11.008
10.1063/1.3147408
10.1016/j.neulet.2016.09.043
10.1016/S0169-7439(97)00032-4
10.1016/S0074-7742(10)90006-8
10.1016/j.gaitpost.2008.05.015
10.1137/07070111X
10.1109/TNSRE.2009.2033062
10.1016/j.neulet.2009.05.039
10.1007/s10916-014-0147-5
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Keywords Tensor decomposition
Parallel Factor Analysis (PARAFAC)
Parkinson’s disease (PD)
Substantia Nigra
Gait Dynamics
Language English
License This is an open access article under the CC BY-NC-ND license.
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References Delval (bib0002) 2014; 44
Kolda, Bader (bib00017) 2009; 51
bib00020
Muniz, Nadal (bib0009) 2009; 29
Blahuta, Soukup, Čermák, Rozsypal, Večerek (bib00011) 2012
Yue, Ming, Chongjun, Junyuan (bib00021) 2015
Jubault, Simona (bib00012) 2012; 4
Hausdorff (bib0004) 2009; 19
L Su (bib0007) 2015; 18
Khorasani, Daliri (bib0006) 2010; 38
ClaasAhlrichs, Lawo (bib00013) November 2013; 2
/
Zeng, Wang (bib0008) 2016; 633
Wan, Liang, Zhang, Guizani (bib00014) 2018; 6
Górriz, Lassl, Ramírez, Salas-Gonzalez, Puntonet, Lang (bib00018) 2009; 460
Gaenslen, Berg (bib0003) 2010; 90
Bro (bib00016) 1997; 38
Pham (bib00010) Jan. 2018; 26
Payne (bib0001) March 2012; 16
Gait in Parkinson’s disease
Available
Stoeckel, Malandain, Migneco, Koulibaly, Robert, Ayache, Darcourt, Niessen, Viergever (bib00019) 2010; 2208
Wu, Krishnan (bib0005) 2010; 18
10.1016/j.procs.2020.01.002_bib00015
Bro (10.1016/j.procs.2020.01.002_bib00016) 1997; 38
Yue (10.1016/j.procs.2020.01.002_bib00021) 2015
Khorasani (10.1016/j.procs.2020.01.002_bib0006) 2010; 38
Blahuta (10.1016/j.procs.2020.01.002_bib00011) 2012
Stoeckel (10.1016/j.procs.2020.01.002_bib00019) 2010; 2208
ClaasAhlrichs (10.1016/j.procs.2020.01.002_bib00013) 2013; 2
Hausdorff (10.1016/j.procs.2020.01.002_bib0004) 2009; 19
Pham (10.1016/j.procs.2020.01.002_bib00010) 2018; 26
Gaenslen (10.1016/j.procs.2020.01.002_bib0003) 2010; 90
Muniz (10.1016/j.procs.2020.01.002_bib0009) 2009; 29
Delval (10.1016/j.procs.2020.01.002_bib0002) 2014; 44
Jubault (10.1016/j.procs.2020.01.002_bib00012) 2012; 4
Kolda (10.1016/j.procs.2020.01.002_bib00017) 2009; 51
L Su (10.1016/j.procs.2020.01.002_bib0007) 2015; 18
Zeng (10.1016/j.procs.2020.01.002_bib0008) 2016; 633
Górriz (10.1016/j.procs.2020.01.002_bib00018) 2009; 460
Payne (10.1016/j.procs.2020.01.002_bib0001) 2012; 16
Wu (10.1016/j.procs.2020.01.002_bib0005) 2010; 18
Wan (10.1016/j.procs.2020.01.002_bib00014) 2018; 6
10.1016/j.procs.2020.01.002_bib00020
References_xml – volume: 19
  year: 2009
  ident: bib0004
  article-title: “Gait dynamics in Parkinson’s disease: common and distinct behavior among stride length, gait variability and fractal like scaling”
  publication-title: Chaos
– volume: 460
  start-page: 108
  year: 2009
  end-page: 111
  ident: bib00018
  article-title: “Automatic selection of ROIs in functional imaging using Gaussian mixture models,”
  publication-title: Neurosci. Lett.
– volume: 6
  start-page: 36825
  year: 2018
  end-page: 36833
  ident: bib00014
  article-title: “Deep Multi-Layer Perceptron Classifier for Behavior Analysis to Estimate Parkinson’s Disease Severity Using Smartphones”
  publication-title: IEEE Access
– volume: 633
  start-page: 268
  year: 2016
  end-page: 278
  ident: bib0008
  article-title: “Parkinson’s disease classification using gait analysis via deterministic learning”
  publication-title: Neuroscience Letters
– start-page: 958
  year: 2012
  end-page: 962
  ident: bib00011
  article-title: “Ultrasound medical image recognition with artificial intelligence for Parkinson’s disease classification”
  publication-title: 2012 Proceedings of the 35th International Convention MIPRO, Opatija
– volume: 2
  year: November 2013
  ident: bib00013
  article-title: “Parkinsons disease motor symptoms in machine learning: a review”
  publication-title: Health Informatics- An International Journal (HIIJ)
– volume: 2208
  start-page: 666
  year: 2010
  end-page: 674
  ident: bib00019
  article-title: “Classification of SPECT images of normal subjects versus images of Alzheimer’s disease patients,” in Med
  publication-title: Image Computing Computer- Assisted Intervention (MICCAI 2001), Berlin, Germany
– volume: 38
  start-page: 147
  year: 2010
  ident: bib0006
  article-title: “HMM for classification of Parkinson’s disease based on the raw gait data”
  publication-title: J Medical Systems
– volume: 51
  start-page: 455
  year: 2009
  end-page: 500
  ident: bib00017
  article-title: “Tensor decompositions and applications”
  publication-title: SIAM Rev
– volume: 29
  start-page: 31
  year: 2009
  end-page: 35
  ident: bib0009
  article-title: “Application of principal component analysis in vertical ground reaction force to discriminate normal and abnormal gait”
  publication-title: Gait & Posture
– volume: 26
  start-page: 188
  year: Jan. 2018
  end-page: 196
  ident: bib00010
  article-title: “Texture Classification and Visualization of Time Series of Gait Dynamics in Patients With Neuro-Degenerative Diseases”
  publication-title: IEEE Transactions on Neural Systems and Rehabilitation Engineering
– volume: 90
  start-page: 81
  year: 2010
  end-page: 92
  ident: bib0003
  article-title: “Early diagnosis of Parkinson’s disease”
  publication-title: Int. Rev. Neurobiol
– volume: 18
  start-page: 56
  year: 2015
  end-page: 60
  ident: bib0007
  article-title: “Characterizing gait asymmetry via frequency sub-band components of the ground reaction force”
  publication-title: Biomedical Signal Processing and Control
– reference: /
– ident: bib00020
– volume: 38
  start-page: 149
  year: 1997
  end-page: 171
  ident: bib00016
  article-title: “PARAFAC. Tutorial and applications”
  publication-title: Chemometrics and Intelligent Laboratory Systems
– volume: 18
  start-page: 150
  year: 2010
  end-page: 158
  ident: bib0005
  article-title: “Statistical analysis of gait rhythm in patients with Parkinson’s disease”
  publication-title: IEEE Trans Neural Systems and Rehabilitation Engineering
– reference: Gait in Parkinson’s disease,
– volume: 44
  start-page: 69
  year: 2014
  end-page: 76
  ident: bib0002
  article-title: “Why we should study gait initiation in Parkinson’s disease”
  publication-title: Neurophysiologieclinique / clinical Neurophysiology
– volume: 4
  year: 2012
  ident: bib00012
  article-title: Brambati, Clotilde Degroot, Benoît Kullmann, Antonio P. Strafella, Anne-Louise Lafontaine, Sylvain Chouinard, Oury Monchi, “Regional brain stem Atrophy in idiopathic Parkinson’s disease detected by Anatomical MRI”
  publication-title: PLOS one
– volume: 16
  start-page: 1
  year: March 2012
  end-page: 41
  ident: bib0001
  article-title: “Dementia”
  publication-title: Signpost: Journal of Dementia and Mental Health Care of Older People
– reference: . Available:
– start-page: 1722
  year: 2015
  end-page: 1724
  ident: bib00021
  article-title: “Entropy Chain Multi-Label Classifiers for Traditional Medicine Diagnosing Parkinson’s Disease”
  publication-title: 2015 IEEE International Conference on Bioinforrnatics and Biomedicine (BIBM)
– volume: 6
  start-page: 36825
  year: 2018
  ident: 10.1016/j.procs.2020.01.002_bib00014
  article-title: “Deep Multi-Layer Perceptron Classifier for Behavior Analysis to Estimate Parkinson’s Disease Severity Using Smartphones”
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2851382
– volume: 2208
  start-page: 666
  year: 2010
  ident: 10.1016/j.procs.2020.01.002_bib00019
  article-title: “Classification of SPECT images of normal subjects versus images of Alzheimer’s disease patients,” in Med
  publication-title: Image Computing Computer- Assisted Intervention (MICCAI 2001), Berlin, Germany
  doi: 10.1007/3-540-45468-3_80
– volume: 44
  start-page: 69
  year: 2014
  ident: 10.1016/j.procs.2020.01.002_bib0002
  article-title: “Why we should study gait initiation in Parkinson’s disease”
  publication-title: Neurophysiologieclinique / clinical Neurophysiology
  doi: 10.1016/j.neucli.2013.10.127
– start-page: 958
  year: 2012
  ident: 10.1016/j.procs.2020.01.002_bib00011
  article-title: “Ultrasound medical image recognition with artificial intelligence for Parkinson’s disease classification”
  publication-title: 2012 Proceedings of the 35th International Convention MIPRO, Opatija
– volume: 26
  start-page: 188
  issue: 1
  year: 2018
  ident: 10.1016/j.procs.2020.01.002_bib00010
  article-title: “Texture Classification and Visualization of Time Series of Gait Dynamics in Patients With Neuro-Degenerative Diseases”
  publication-title: IEEE Transactions on Neural Systems and Rehabilitation Engineering
  doi: 10.1109/TNSRE.2017.2732448
– volume: 18
  start-page: 56
  issue: 2015
  year: 2015
  ident: 10.1016/j.procs.2020.01.002_bib0007
  article-title: “Characterizing gait asymmetry via frequency sub-band components of the ground reaction force”
  publication-title: Biomedical Signal Processing and Control
  doi: 10.1016/j.bspc.2014.11.008
– volume: 19
  year: 2009
  ident: 10.1016/j.procs.2020.01.002_bib0004
  article-title: “Gait dynamics in Parkinson’s disease: common and distinct behavior among stride length, gait variability and fractal like scaling”
  publication-title: Chaos
  doi: 10.1063/1.3147408
– volume: 633
  start-page: 268
  year: 2016
  ident: 10.1016/j.procs.2020.01.002_bib0008
  article-title: “Parkinson’s disease classification using gait analysis via deterministic learning”
  publication-title: Neuroscience Letters
  doi: 10.1016/j.neulet.2016.09.043
– start-page: 1722
  year: 2015
  ident: 10.1016/j.procs.2020.01.002_bib00021
  article-title: “Entropy Chain Multi-Label Classifiers for Traditional Medicine Diagnosing Parkinson’s Disease”
  publication-title: 2015 IEEE International Conference on Bioinforrnatics and Biomedicine (BIBM)
– ident: 10.1016/j.procs.2020.01.002_bib00015
– volume: 2
  issue: 4
  year: 2013
  ident: 10.1016/j.procs.2020.01.002_bib00013
  article-title: “Parkinsons disease motor symptoms in machine learning: a review”
  publication-title: Health Informatics- An International Journal (HIIJ)
– volume: 38
  start-page: 149
  year: 1997
  ident: 10.1016/j.procs.2020.01.002_bib00016
  article-title: “PARAFAC. Tutorial and applications”
  publication-title: Chemometrics and Intelligent Laboratory Systems
  doi: 10.1016/S0169-7439(97)00032-4
– volume: 90
  start-page: 81
  year: 2010
  ident: 10.1016/j.procs.2020.01.002_bib0003
  article-title: “Early diagnosis of Parkinson’s disease”
  publication-title: Int. Rev. Neurobiol
  doi: 10.1016/S0074-7742(10)90006-8
– ident: 10.1016/j.procs.2020.01.002_bib00020
– volume: 29
  start-page: 31
  year: 2009
  ident: 10.1016/j.procs.2020.01.002_bib0009
  article-title: “Application of principal component analysis in vertical ground reaction force to discriminate normal and abnormal gait”
  publication-title: Gait & Posture
  doi: 10.1016/j.gaitpost.2008.05.015
– volume: 4
  issue: 12
  year: 2012
  ident: 10.1016/j.procs.2020.01.002_bib00012
  article-title: Brambati, Clotilde Degroot, Benoît Kullmann, Antonio P. Strafella, Anne-Louise Lafontaine, Sylvain Chouinard, Oury Monchi, “Regional brain stem Atrophy in idiopathic Parkinson’s disease detected by Anatomical MRI”
  publication-title: PLOS one
– volume: 51
  start-page: 455
  year: 2009
  ident: 10.1016/j.procs.2020.01.002_bib00017
  article-title: “Tensor decompositions and applications”
  publication-title: SIAM Rev
  doi: 10.1137/07070111X
– volume: 16
  start-page: 1
  issue: 3
  year: 2012
  ident: 10.1016/j.procs.2020.01.002_bib0001
  article-title: “Dementia”
  publication-title: Signpost: Journal of Dementia and Mental Health Care of Older People
– volume: 18
  start-page: 150
  year: 2010
  ident: 10.1016/j.procs.2020.01.002_bib0005
  article-title: “Statistical analysis of gait rhythm in patients with Parkinson’s disease”
  publication-title: IEEE Trans Neural Systems and Rehabilitation Engineering
  doi: 10.1109/TNSRE.2009.2033062
– volume: 460
  start-page: 108
  issue: 2
  year: 2009
  ident: 10.1016/j.procs.2020.01.002_bib00018
  article-title: “Automatic selection of ROIs in functional imaging using Gaussian mixture models,”
  publication-title: Neurosci. Lett.
  doi: 10.1016/j.neulet.2009.05.039
– volume: 38
  start-page: 147
  year: 2010
  ident: 10.1016/j.procs.2020.01.002_bib0006
  article-title: “HMM for classification of Parkinson’s disease based on the raw gait data”
  publication-title: J Medical Systems
  doi: 10.1007/s10916-014-0147-5
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Snippet Parkinson’s disease is a neuro-degenerative disorder in which dopamine producing neurons in the brain structure called substantia nigra has damaged entire over...
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SubjectTerms Gait Dynamics
Parallel Factor Analysis (PARAFAC)
Parkinson’s disease (PD)
Substantia Nigra
Tensor decomposition
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Title Diagnosis of Parkinson’s disease using Gait Dynamics and Images
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