FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2177319998> ?p ?o ?g. }

• W2177319998 endingPage "233" @default.
• W2177319998 startingPage "223" @default.
• W2177319998 abstract "Freezing of gait (FOG) is a common motor symptom of Parkinson's disease (PD), which presents itself as an inability to initiate or continue gait. This paper presents a method to monitor FOG episodes based only on acceleration measurements obtained from a waist-worn device. Three approximations of this method are tested. Initially, FOG is directly detected by a support vector machine (SVM). Then, classifier's outputs are aggregated over time to determine a confidence value, which is used for the final classification of freezing (i.e., second and third approach). All variations are trained with signals of 15 patients and evaluated with signals from another 5 patients. Using a linear SVM kernel, the third approach provides 98.7% accuracy and a geometric mean of 96.1%. Moreover, it is investigated whether frequency features are enough to reliably detect FOG. Results show that these features allow the method to detect FOG with accuracies above 90% and that frequency features enable a reliable monitoring of FOG by using simply a waist sensor." @default.
• W2177319998 created "2016-06-24" @default.
• W2177319998 creator A5004185756 @default.
• W2177319998 creator A5011513807 @default.
• W2177319998 creator A5012272665 @default.
• W2177319998 creator A5013398412 @default.
• W2177319998 creator A5017748174 @default.
• W2177319998 creator A5022601946 @default.
• W2177319998 creator A5033449223 @default.
• W2177319998 creator A5037526812 @default.
• W2177319998 creator A5040083464 @default.
• W2177319998 creator A5043206017 @default.
• W2177319998 creator A5043542039 @default.
• W2177319998 creator A5046135003 @default.
• W2177319998 creator A5046838696 @default.
• W2177319998 creator A5056750841 @default.
• W2177319998 creator A5061155845 @default.
• W2177319998 creator A5065586991 @default.
• W2177319998 creator A5068258238 @default.
• W2177319998 creator A5070311717 @default.
• W2177319998 creator A5070965843 @default.
• W2177319998 creator A5079147780 @default.
• W2177319998 date "2015-10-01" @default.
• W2177319998 modified "2023-10-15" @default.
• W2177319998 title "Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients" @default.
• W2177319998 cites W1232458005 @default.
• W2177319998 cites W1563088657 @default.
• W2177319998 cites W1703062847 @default.
• W2177319998 cites W1973141099 @default.
• W2177319998 cites W1974191583 @default.
• W2177319998 cites W199354732 @default.
• W2177319998 cites W2008560062 @default.
• W2177319998 cites W2038431809 @default.
• W2177319998 cites W2061737788 @default.
• W2177319998 cites W2064963539 @default.
• W2177319998 cites W2064996887 @default.
• W2177319998 cites W2075683139 @default.
• W2177319998 cites W2083967940 @default.
• W2177319998 cites W2090002902 @default.
• W2177319998 cites W2098481605 @default.
• W2177319998 cites W2114134396 @default.
• W2177319998 cites W2123714584 @default.
• W2177319998 cites W2127235324 @default.
• W2177319998 cites W2128892560 @default.
• W2177319998 cites W2132894148 @default.
• W2177319998 cites W2136883398 @default.
• W2177319998 cites W2137521263 @default.
• W2177319998 cites W2145954079 @default.
• W2177319998 cites W2151599925 @default.
• W2177319998 cites W2171181994 @default.
• W2177319998 cites W4211151576 @default.
• W2177319998 cites W4213241150 @default.
• W2177319998 cites W62603772 @default.
• W2177319998 doi "https://doi.org/10.1007/s11517-015-1395-3" @default.
• W2177319998 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26429349" @default.
• W2177319998 hasPublicationYear "2015" @default.
• W2177319998 type Work @default.
• W2177319998 sameAs 2177319998 @default.
• W2177319998 citedByCount "92" @default.
• W2177319998 countsByYear W21773199982015 @default.
• W2177319998 countsByYear W21773199982016 @default.
• W2177319998 countsByYear W21773199982017 @default.
• W2177319998 countsByYear W21773199982018 @default.
• W2177319998 countsByYear W21773199982019 @default.
• W2177319998 countsByYear W21773199982020 @default.
• W2177319998 countsByYear W21773199982021 @default.
• W2177319998 countsByYear W21773199982022 @default.
• W2177319998 countsByYear W21773199982023 @default.
• W2177319998 crossrefType "journal-article" @default.
• W2177319998 hasAuthorship W2177319998A5004185756 @default.
• W2177319998 hasAuthorship W2177319998A5011513807 @default.
• W2177319998 hasAuthorship W2177319998A5012272665 @default.
• W2177319998 hasAuthorship W2177319998A5013398412 @default.
• W2177319998 hasAuthorship W2177319998A5017748174 @default.
• W2177319998 hasAuthorship W2177319998A5022601946 @default.
• W2177319998 hasAuthorship W2177319998A5033449223 @default.
• W2177319998 hasAuthorship W2177319998A5037526812 @default.
• W2177319998 hasAuthorship W2177319998A5040083464 @default.
• W2177319998 hasAuthorship W2177319998A5043206017 @default.
• W2177319998 hasAuthorship W2177319998A5043542039 @default.
• W2177319998 hasAuthorship W2177319998A5046135003 @default.
• W2177319998 hasAuthorship W2177319998A5046838696 @default.
• W2177319998 hasAuthorship W2177319998A5056750841 @default.
• W2177319998 hasAuthorship W2177319998A5061155845 @default.
• W2177319998 hasAuthorship W2177319998A5065586991 @default.
• W2177319998 hasAuthorship W2177319998A5068258238 @default.
• W2177319998 hasAuthorship W2177319998A5070311717 @default.
• W2177319998 hasAuthorship W2177319998A5070965843 @default.
• W2177319998 hasAuthorship W2177319998A5079147780 @default.
• W2177319998 hasBestOaLocation W21773199982 @default.
• W2177319998 hasConcept C111919701 @default.
• W2177319998 hasConcept C12267149 @default.
• W2177319998 hasConcept C126322002 @default.
• W2177319998 hasConcept C142724271 @default.
• W2177319998 hasConcept C151800584 @default.
• W2177319998 hasConcept C153180895 @default.
• W2177319998 hasConcept C154945302 @default.
• W2177319998 hasConcept C2776193436 @default.

• next