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...
Saved in:
Published in | Procedia computer science Vol. 165; pp. 428 - 434 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
2019
|
Subjects | |
Online Access | Get full text |
ISSN | 1877-0509 1877-0509 |
DOI | 10.1016/j.procs.2020.01.002 |
Cover
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 |
Author_xml | – sequence: 1 givenname: R S surname: Nancy Noella fullname: Nancy Noella, R S email: nancynoella@ymail.com – sequence: 2 givenname: Divyansh surname: Gupta fullname: Gupta, Divyansh – sequence: 3 givenname: J surname: Priyadarshini fullname: Priyadarshini, J |
BookMark | eNqN0D1OwzAUwHELgUQpPQGLL5Dgj8RJBoaqhVKpEgwwW47tVC6pXfmloG5cg-txElLKgBgAL8_L7z3pf4aOffAWoQtKUkqouFylmxg0pIwwkhKaEsKO0ICWRZGQnFTH3_6naASwIv3jZVnRYoDGU6eWPoADHBp8r-KT8xD8--sbYOPAKrB4C84v8Uy5Dk93Xq2dBqy8wfO1Wlo4RyeNasGOvuYQPd5cP0xuk8XdbD4ZLxLNs7JLuBCG04xSJgzVwipeWcHKQhcVoSrPG07rRueEskqUZc1Yzo3JK1NmtagLo_kQZYe9W79RuxfVtnIT3VrFnaRE7kvIlfwsIfclJKGyL9Gz6sB0DADRNlK7TnUu-C4q1_5h-Q_7v4tXB2X7Gs_ORgnaWa-tcdHqTprgfvUfeISN9g |
CitedBy_id | crossref_primary_10_1080_20476965_2022_2125838 crossref_primary_10_2478_ijssis_2024_0008 crossref_primary_10_32604_cmc_2022_020531 crossref_primary_10_1109_TMM_2022_3216961 crossref_primary_10_3390_info16010001 crossref_primary_10_1007_s13755_023_00231_0 crossref_primary_10_1016_j_measurement_2021_109249 crossref_primary_10_1038_s41598_023_41314_y crossref_primary_10_1007_s00521_022_07750_z crossref_primary_10_1007_s11831_022_09710_1 crossref_primary_10_1109_JBHI_2023_3239780 crossref_primary_10_1007_s13369_021_05982_0 |
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 |
ContentType | Journal Article |
Copyright | 2019 |
Copyright_xml | – notice: 2019 |
DBID | 6I. AAFTH AAYXX CITATION ADTOC UNPAY |
DOI | 10.1016/j.procs.2020.01.002 |
DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef Unpaywall for CDI: Periodical Content Unpaywall |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Computer Science |
EISSN | 1877-0509 |
EndPage | 434 |
ExternalDocumentID | 10.1016/j.procs.2020.01.002 10_1016_j_procs_2020_01_002 S1877050920300107 |
GroupedDBID | --K 0R~ 0SF 1B1 457 5VS 6I. 71M AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAQFI AAXUO ABMAC ACGFS ADBBV ADEZE AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ E3Z EBS EJD EP3 FDB FNPLU HZ~ IXB KQ8 M41 M~E NCXOZ O-L O9- OK1 P2P RIG ROL SES SSZ AAYWO AAYXX ABWVN ACRPL ACVFH ADCNI ADNMO ADVLN AEUPX AFPUW AIGII AKBMS AKRWK AKYEP CITATION ~HD ADTOC UNPAY |
ID | FETCH-LOGICAL-c348t-366d3141126d1c6ea39e6287c7901a55f31bfc50129688b2253dd59d84b6b7dc3 |
IEDL.DBID | UNPAY |
ISSN | 1877-0509 |
IngestDate | Tue Aug 19 21:30:59 EDT 2025 Thu Apr 24 23:04:04 EDT 2025 Wed Oct 01 03:32:29 EDT 2025 Tue May 16 22:28:52 EDT 2023 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
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. cc-by-nc-nd |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c348t-366d3141126d1c6ea39e6287c7901a55f31bfc50129688b2253dd59d84b6b7dc3 |
OpenAccessLink | https://proxy.k.utb.cz/login?url=https://doi.org/10.1016/j.procs.2020.01.002 |
PageCount | 7 |
ParticipantIDs | unpaywall_primary_10_1016_j_procs_2020_01_002 crossref_citationtrail_10_1016_j_procs_2020_01_002 crossref_primary_10_1016_j_procs_2020_01_002 elsevier_sciencedirect_doi_10_1016_j_procs_2020_01_002 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019 2019-00-00 |
PublicationDateYYYYMMDD | 2019-01-01 |
PublicationDate_xml | – year: 2019 text: 2019 |
PublicationDecade | 2010 |
PublicationTitle | Procedia computer science |
PublicationYear | 2019 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
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 |
SSID | ssj0000388917 |
Score | 2.2094707 |
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... |
SourceID | unpaywall crossref elsevier |
SourceType | Open Access Repository Enrichment Source Index Database Publisher |
StartPage | 428 |
SubjectTerms | Gait Dynamics Parallel Factor Analysis (PARAFAC) Parkinson’s disease (PD) Substantia Nigra Tensor decomposition |
SummonAdditionalLinks | – databaseName: Elsevier Free Content dbid: IXB link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV29TsMwELaqLrDwjyh_8sCI1SR2nGQsLaUgwQKVukWxnaCgklYkFWLjNXg9noSz41QgoQqxRj7Zuth35_Pd9yF0Bj7QSVngEaYC_cyYSRJJRxJX-Y4AB5hww6Jwe8dHY3Yz8Sct1G96YXRZpbX9tU031tp-6Vptdud53r13wyDQ6CUe7FO4VeiOcsoC08Q3uVjmWTTaSWSId_V4ogUa8CFT5qX9hIbt9hwD32nTK784qLVFMU_eXpPp9JsDGm6hDRs54l69uG3USosdtNmwMmB7SHdRb1BXz-UlnmVYdzWbBq_P948S2-cYrKvdH_FVkld4UFPSlzgpFL5-BvNS7qHx8PKhPyKWKIFIysKKUM4VdZnuBlKu5GlCo5TDVUgG4O0T38-oKzLp65wTD0MBR5gq5UcqZIKLQEm6j9rFrEgPEAZZqSHalHQpo2CCRAYRXwaBhEOZ8MMO8hrtxNKiiGsyi2nclIs9xUalsVZp7LgxqLSDzpdC8xpEY_Vw3qg9_rEXYjDzqwXJ8if9ZaLD_050hNYhcIrqVMwxalcvi_QEgpNKnJrd9wWWiN_g priority: 102 providerName: Elsevier |
Title | Diagnosis of Parkinson’s disease using Gait Dynamics and Images |
URI | https://dx.doi.org/10.1016/j.procs.2020.01.002 https://doi.org/10.1016/j.procs.2020.01.002 |
UnpaywallVersion | publishedVersion |
Volume | 165 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1877-0509 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388917 issn: 1877-0509 databaseCode: KQ8 dateStart: 20100501 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVESC databaseName: Elsevier Free Content customDbUrl: eissn: 1877-0509 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388917 issn: 1877-0509 databaseCode: IXB dateStart: 20100501 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1877-0509 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388917 issn: 1877-0509 databaseCode: M~E dateStart: 20100101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1877-0509 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388917 issn: 1877-0509 databaseCode: AKRWK dateStart: 20100501 isFulltext: true providerName: Library Specific Holdings |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NTsMwDI5gO3Bi_IohmHLgSKZ2SdPuWBhjY2JCiIlxipqkRYPRTbQTghOvwevxJCRtOgGCCe6xGtmJ_aW2PwNwoGKgFRK3gYh0dZoxEqgpLIFs6VhcBcCAZlMUzvu0MyBnQ2doeLZ1L8yX_H1Wh6UduebVblgZv6YmjixTnU0qgfKgf-Hf6CeV57pIM5kUvEI_S_4We1Zm8TR4fgrG40-xpV3Jm7aTjJJQl5Tc12cpr4uXb4SNf9z2Glg1GBP6-aFYB0thvAEqxfwGaK7zJvBbeZ3dKIGTCOr-56wV7P31LYEmcQN1XfwtPA1GKWzlw-sTGMQSdh-UI0q2wKB9cnXcQWakAhKYeCnClEpsE903JG1BwwA3Q6oeTcJVuCBwnAjbPBKO_jtFPY-ry46ldJrSI5xyVwq8DUrxJA53AFSyQpO5SWFjgpWz4pHChpGCHBYm3PGqoFEomwnDN67HXoxZUVh2xzIlMa0kZtlMKakKDudC05xuY_FyWliRGcSQIwGmDLJYEM1t_pcP7f5z_R4opY-zcF8BlpTXQNnvXV73amC5OzyqmWP7AUsi6as |
linkProvider | Unpaywall |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NTsMwDI7GOIwL_4jxmwNHqrVLm7bHsQEbbLuwSbtFTdKiotFNtBPixmvwejwJTptOIKEJca1qpXId-4tjf0boAmKgGdpu07Clq64ZI2H4whSGJR2TQwAMaD5FYTCk3bF9N3EmFdQue2FUWaX2_YVPz721ftLQ2mzM47jxYHmuq9hLmmCncKpw19A6oAFT1XX1JlfLRIuiO_HzybtKwFASJftQXuelAoXi7W6aOX-nzq_8EqFqi2QevL0G0-m3CHSzjTY1dMSt4ut2UCVMdtFWOZYB6126h1qdonwuTvEswqqtOe_w-nz_SLG-j8Gq3P0R3wZxhjvFTPoUB4nEvWfwL-k-Gt9cj9pdQ09KMASxvcwglEpi2aodSFqChgHxQwpnIeFCuA8cJyIWj4Sjkk7U8zjsYSKl40vP5pS7UpADVE1mSXiIMMgKxdEmhUVsAj6IRwD5IkASJrG549VRs9QOE5pGXE2zmLKyXuyJ5SplSqXMtBiotI4ul0LzgkVj9eu0VDv7YQwM_PxqQWP5k_6y0NF_FzpHte5o0Gf93vD-GG0AivKLvMwJqmYvi_AUkErGz3JL_ALm2-MB |
linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NTsMwDI7QduDE-BVDgHLgSKZ2SdPuODHGQGLiwKRxipqkRYPRTWsnBCdeg9fjSYjbdAIE07jHamQn9pfa_ozQiYmBTsT8JmHahzRjrEhLOYq42nOkCYAhz6coXPd5b8Cuht7Q8mxDL8y3_H1ehwWOHHi1m07OrwnEkVUO2aQKqg76N-07eFIFvk-AyaTkFfpd8q_Ysz5PpuHLczgef4kt3VrRtJ3mlIRQUvLYmGeyoV5_EDauuO1NtGExJm4Xh2ILrUXJNqqV8xuwvc47qN0p6uxGKZ7EGPqf81awj7f3FNvEDYa6-Ht8EY4y3CmG16c4TDS-fDKOKN1Fg-757VmP2JEKRFEWZIRyrqnLoG9Iu4pHIW1F3DyalG9wQeh5MXVlrDz4O8WDQJrLTrX2WjpgkktfK7qHKskkifYRNrIKyNy0cimjxlnJ2GDD2EAOhzLpBXXULJUtlOUbh7EXY1EWlj2IXEkClCQcVxgl1dHpQmha0G0sX85LKwqLGAokIIxBlguShc1X-dDBP9cfoko2m0dHBrBk8tge1E-YwucE |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Diagnosis+of+Parkinson%E2%80%99s+disease+using+Gait+Dynamics+and+Images&rft.jtitle=Procedia+computer+science&rft.au=Nancy+Noella%2C+R+S&rft.au=Gupta%2C+Divyansh&rft.au=Priyadarshini%2C+J&rft.date=2019&rft.issn=1877-0509&rft.eissn=1877-0509&rft.volume=165&rft.spage=428&rft.epage=434&rft_id=info:doi/10.1016%2Fj.procs.2020.01.002&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_procs_2020_01_002 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1877-0509&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1877-0509&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1877-0509&client=summon |