FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3111159462> ?p ?o ?g. }

• W3111159462 abstract "Abstract Background Multiple sclerosis (MS) is a disabling disease affecting the central nervous system and consequently the whole body’s functional systems resulting in different gait disorders. Fatigue is the most common symptom in MS with a prevalence of 80%. Previous research studied the relation between fatigue and gait impairment using stationary gait analysis systems and short gait tests (e.g. timed 25 ft walk). However, wearable inertial sensors providing gait data from longer and continuous gait bouts have not been used to assess the relation between fatigue and gait parameters in MS. Therefore, the aim of this study was to evaluate the association between fatigue and spatio-temporal gait parameters extracted from wearable foot-worn sensors and to predict the degree of fatigue. Methods Forty-nine patients with MS (32 women; 17 men; aged 41.6 years, EDSS 1.0–6.5) were included where each participant was equipped with a small Inertial Measurement Unit (IMU) on each foot. Spatio-temporal gait parameters were obtained from the 6-min walking test, and the Borg scale of perceived exertion was used to represent fatigue. Gait parameters were normalized by taking the difference of averaged gait parameters between the beginning and end of the test to eliminate inter-individual differences. Afterwards, normalized parameters were transformed to principle components that were used as input to a Random Forest regression model to formulate the relationship between gait parameters and fatigue. Results Six principal components were used as input to our model explaining more than 90% of variance within our dataset. Random Forest regression was used to predict fatigue. The model was validated using 10-fold cross validation and the mean absolute error was 1.38 points. Principal components consisting mainly of stride time, maximum toe clearance, heel strike angle, and stride length had large contributions (67%) to the predictions made by the Random Forest. Conclusions The level of fatigue can be predicted based on spatio-temporal gait parameters obtained from an IMU based system. The results can help therapists to monitor fatigue before and after treatment and in rehabilitation programs to evaluate their efficacy. Furthermore, this can be used in home monitoring scenarios where therapists can monitor fatigue using IMUs reducing time and effort of patients and therapists." @default.
• W3111159462 created "2020-12-21" @default.
• W3111159462 creator A5014144494 @default.
• W3111159462 creator A5029602911 @default.
• W3111159462 creator A5054788848 @default.
• W3111159462 creator A5066832631 @default.
• W3111159462 creator A5085359641 @default.
• W3111159462 creator A5088917453 @default.
• W3111159462 date "2020-12-01" @default.
• W3111159462 modified "2023-10-14" @default.
• W3111159462 title "Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis" @default.
• W3111159462 cites W1001519207 @default.
• W3111159462 cites W1859987764 @default.
• W3111159462 cites W1970493599 @default.
• W3111159462 cites W1982948624 @default.
• W3111159462 cites W1999957848 @default.
• W3111159462 cites W2001826471 @default.
• W3111159462 cites W2013337604 @default.
• W3111159462 cites W2023227451 @default.
• W3111159462 cites W2034417379 @default.
• W3111159462 cites W2037993003 @default.
• W3111159462 cites W2046987158 @default.
• W3111159462 cites W2058190976 @default.
• W3111159462 cites W2061663173 @default.
• W3111159462 cites W2065262862 @default.
• W3111159462 cites W2075030368 @default.
• W3111159462 cites W2087048290 @default.
• W3111159462 cites W2096252618 @default.
• W3111159462 cites W2097751612 @default.
• W3111159462 cites W2109158135 @default.
• W3111159462 cites W2114242035 @default.
• W3111159462 cites W2115655176 @default.
• W3111159462 cites W2121149730 @default.
• W3111159462 cites W2124837838 @default.
• W3111159462 cites W2158764002 @default.
• W3111159462 cites W2163764715 @default.
• W3111159462 cites W2166713944 @default.
• W3111159462 cites W2218942869 @default.
• W3111159462 cites W2222399534 @default.
• W3111159462 cites W2227450298 @default.
• W3111159462 cites W2268312101 @default.
• W3111159462 cites W2269520932 @default.
• W3111159462 cites W2402006737 @default.
• W3111159462 cites W2414203248 @default.
• W3111159462 cites W2493846716 @default.
• W3111159462 cites W2528404228 @default.
• W3111159462 cites W2734457349 @default.
• W3111159462 cites W2761505665 @default.
• W3111159462 cites W2799326400 @default.
• W3111159462 cites W2801415007 @default.
• W3111159462 cites W2912327339 @default.
• W3111159462 cites W2945466828 @default.
• W3111159462 cites W2952505933 @default.
• W3111159462 cites W2966989726 @default.
• W3111159462 cites W2998382978 @default.
• W3111159462 cites W4231743282 @default.
• W3111159462 cites W4240716338 @default.
• W3111159462 doi "https://doi.org/10.1186/s12984-020-00798-9" @default.
• W3111159462 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7749504" @default.
• W3111159462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33339530" @default.
• W3111159462 hasPublicationYear "2020" @default.
• W3111159462 type Work @default.
• W3111159462 sameAs 3111159462 @default.
• W3111159462 citedByCount "29" @default.
• W3111159462 countsByYear W31111594622020 @default.
• W3111159462 countsByYear W31111594622021 @default.
• W3111159462 countsByYear W31111594622022 @default.
• W3111159462 countsByYear W31111594622023 @default.
• W3111159462 crossrefType "journal-article" @default.
• W3111159462 hasAuthorship W3111159462A5014144494 @default.
• W3111159462 hasAuthorship W3111159462A5029602911 @default.
• W3111159462 hasAuthorship W3111159462A5054788848 @default.
• W3111159462 hasAuthorship W3111159462A5066832631 @default.
• W3111159462 hasAuthorship W3111159462A5085359641 @default.
• W3111159462 hasAuthorship W3111159462A5088917453 @default.
• W3111159462 hasBestOaLocation W31111594621 @default.
• W3111159462 hasConcept C151800584 @default.
• W3111159462 hasConcept C154945302 @default.
• W3111159462 hasConcept C173906292 @default.
• W3111159462 hasConcept C1862650 @default.
• W3111159462 hasConcept C41008148 @default.
• W3111159462 hasConcept C71924100 @default.
• W3111159462 hasConcept C79061980 @default.
• W3111159462 hasConcept C99508421 @default.
• W3111159462 hasConceptScore W3111159462C151800584 @default.
• W3111159462 hasConceptScore W3111159462C154945302 @default.
• W3111159462 hasConceptScore W3111159462C173906292 @default.
• W3111159462 hasConceptScore W3111159462C1862650 @default.
• W3111159462 hasConceptScore W3111159462C41008148 @default.
• W3111159462 hasConceptScore W3111159462C71924100 @default.
• W3111159462 hasConceptScore W3111159462C79061980 @default.
• W3111159462 hasConceptScore W3111159462C99508421 @default.
• W3111159462 hasFunder F4320321654 @default.
• W3111159462 hasIssue "1" @default.
• W3111159462 hasLocation W31111594621 @default.
• W3111159462 hasLocation W31111594622 @default.
• W3111159462 hasLocation W31111594623 @default.
• W3111159462 hasLocation W31111594624 @default.
• W3111159462 hasOpenAccess W3111159462 @default.
• W3111159462 hasPrimaryLocation W31111594621 @default.

• next