FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2885333657> ?p ?o ?g. }

• W2885333657 endingPage "230" @default.
• W2885333657 startingPage "221" @default.
• W2885333657 abstract "Freezing of gait (FOG) is a symptom that manifests as an episodic inability to move. It happens typically in patients with advanced Parkinson’s disease (PD), and it is a common cause of falls in PD patients. The management of FOG is extremely difficult due to its sudden and transient property. In this study, we implemented a novel FOG detection system that was based on deep convolutional neural network (CNN). By taking data segments from 1-dimensional (1D) acceleration signals as its inputs, the proposed CNN-based approach can realize automatic feature learning and discrimination of FOG events from normal walking in a streamline manner. By this way, it can remove the need for extracting hand-crafted features and the time-consuming feature selection. The proposed method was tested on a dataset comprised of more than eight hours of recorded lab data from 10 PD patients that experience FOG in their daily life. The final system achieved more than 99% classification accuracy in a patient-dependent setting, and an average of 80.70% accuracy in the patient -independent setting. The time for classification of a 4 s data segment is only 3.6 ms without the acceleration of graphics processing unit (GPU). These results indicate that the proposed CNN-based system can provide satisfactory effectivity and efficiency in detecting FOG gaits if used suitably and can be beneficial to realize an accurate monitoring and gait assistance during daily living and rehabilitation therapy." @default.
• W2885333657 created "2018-08-22" @default.
• W2885333657 creator A5013039708 @default.
• W2885333657 creator A5032487108 @default.
• W2885333657 creator A5038100088 @default.
• W2885333657 creator A5069860925 @default.
• W2885333657 creator A5071672663 @default.
• W2885333657 creator A5076794753 @default.
• W2885333657 date "2018-09-01" @default.
• W2885333657 modified "2023-10-17" @default.
• W2885333657 title "Evaluation of deep convolutional neural networks for detection of freezing of gait in Parkinson’s disease patients" @default.
• W2885333657 cites W1966580198 @default.
• W2885333657 cites W1967333153 @default.
• W2885333657 cites W1968018273 @default.
• W2885333657 cites W1998699125 @default.
• W2885333657 cites W2013818400 @default.
• W2885333657 cites W2027924199 @default.
• W2885333657 cites W2038950780 @default.
• W2885333657 cites W2039539123 @default.
• W2885333657 cites W2049353276 @default.
• W2885333657 cites W2065372207 @default.
• W2885333657 cites W2078106735 @default.
• W2885333657 cites W2102162251 @default.
• W2885333657 cites W2114579942 @default.
• W2885333657 cites W2117731089 @default.
• W2885333657 cites W2127199892 @default.
• W2885333657 cites W2128892560 @default.
• W2885333657 cites W2133385713 @default.
• W2885333657 cites W2136883398 @default.
• W2885333657 cites W2137664016 @default.
• W2885333657 cites W2138906212 @default.
• W2885333657 cites W2141995258 @default.
• W2885333657 cites W2150641484 @default.
• W2885333657 cites W2159552567 @default.
• W2885333657 cites W2171181994 @default.
• W2885333657 cites W2242223225 @default.
• W2885333657 cites W2528333963 @default.
• W2885333657 cites W2589171657 @default.
• W2885333657 cites W2621205740 @default.
• W2885333657 doi "https://doi.org/10.1016/j.bspc.2018.07.015" @default.
• W2885333657 hasPublicationYear "2018" @default.
• W2885333657 type Work @default.
• W2885333657 sameAs 2885333657 @default.
• W2885333657 citedByCount "35" @default.
• W2885333657 countsByYear W28853336572019 @default.
• W2885333657 countsByYear W28853336572020 @default.
• W2885333657 countsByYear W28853336572021 @default.
• W2885333657 countsByYear W28853336572022 @default.
• W2885333657 countsByYear W28853336572023 @default.
• W2885333657 crossrefType "journal-article" @default.
• W2885333657 hasAuthorship W2885333657A5013039708 @default.
• W2885333657 hasAuthorship W2885333657A5032487108 @default.
• W2885333657 hasAuthorship W2885333657A5038100088 @default.
• W2885333657 hasAuthorship W2885333657A5069860925 @default.
• W2885333657 hasAuthorship W2885333657A5071672663 @default.
• W2885333657 hasAuthorship W2885333657A5076794753 @default.
• W2885333657 hasConcept C108583219 @default.
• W2885333657 hasConcept C111472728 @default.
• W2885333657 hasConcept C117896860 @default.
• W2885333657 hasConcept C121332964 @default.
• W2885333657 hasConcept C138885662 @default.
• W2885333657 hasConcept C151800584 @default.
• W2885333657 hasConcept C153180895 @default.
• W2885333657 hasConcept C154945302 @default.
• W2885333657 hasConcept C189950617 @default.
• W2885333657 hasConcept C2776401178 @default.
• W2885333657 hasConcept C31972630 @default.
• W2885333657 hasConcept C41008148 @default.
• W2885333657 hasConcept C41895202 @default.
• W2885333657 hasConcept C71924100 @default.
• W2885333657 hasConcept C74650414 @default.
• W2885333657 hasConcept C81363708 @default.
• W2885333657 hasConcept C99508421 @default.
• W2885333657 hasConceptScore W2885333657C108583219 @default.
• W2885333657 hasConceptScore W2885333657C111472728 @default.
• W2885333657 hasConceptScore W2885333657C117896860 @default.
• W2885333657 hasConceptScore W2885333657C121332964 @default.
• W2885333657 hasConceptScore W2885333657C138885662 @default.
• W2885333657 hasConceptScore W2885333657C151800584 @default.
• W2885333657 hasConceptScore W2885333657C153180895 @default.
• W2885333657 hasConceptScore W2885333657C154945302 @default.
• W2885333657 hasConceptScore W2885333657C189950617 @default.
• W2885333657 hasConceptScore W2885333657C2776401178 @default.
• W2885333657 hasConceptScore W2885333657C31972630 @default.
• W2885333657 hasConceptScore W2885333657C41008148 @default.
• W2885333657 hasConceptScore W2885333657C41895202 @default.
• W2885333657 hasConceptScore W2885333657C71924100 @default.
• W2885333657 hasConceptScore W2885333657C74650414 @default.
• W2885333657 hasConceptScore W2885333657C81363708 @default.
• W2885333657 hasConceptScore W2885333657C99508421 @default.
• W2885333657 hasFunder F4320334897 @default.
• W2885333657 hasLocation W28853336571 @default.
• W2885333657 hasOpenAccess W2885333657 @default.
• W2885333657 hasPrimaryLocation W28853336571 @default.
• W2885333657 hasRelatedWork W1989791859 @default.
• W2885333657 hasRelatedWork W2390829436 @default.
• W2885333657 hasRelatedWork W3029198973 @default.
• W2885333657 hasRelatedWork W3133861977 @default.

• next