Matches in SemOpenAlex for { <https://semopenalex.org/work/W4365790228> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4365790228 endingPage "1" @default.
- W4365790228 startingPage "1" @default.
- W4365790228 abstract "Tremor is one of the earliest signs of Parkinson’s disease (PD), which seriously disrupts patients’ daily lives. It is important to study upper limb tremors quantitatively to control PD progression. In this study, surface electromyography (sEMG) signals from wearable devices are used to recognize rest, posture, and kinetic tremor action from 6 upper-limb clinical actions and to quantify features of tremors. A multivariable time series classification model (MTSCM) based on fully convolutional networks and a long short-term memory network is proposed to recognize tremor actions. MTSCM achieves a high degree of accuracy both on the left-hand and right-hand data sets for tremor actions. An improved Hilbert-Huang transform (HHT) method is proposed to decompose the inertial signals of tremor actions to obtain tremor components. Using the improved HHT, tremor and motion components can be decomposed effectively. In addition, 53 features are extracted from inertial and sEMG signals, and a canonical correlation analysis is used to determine the correlation between features and MDS-UPDRS scores. Several of the relevant characteristics are related to MDS-UPDRS scores, notably the dominant frequency and amplitude of the tremor component are significantly correlated (p < 0.01) with tremor scores. Detecting upper-limb clinical tremors in PD patients using wearable sensors is feasible according to our findings." @default.
- W4365790228 created "2023-04-16" @default.
- W4365790228 creator A5004325176 @default.
- W4365790228 creator A5004591926 @default.
- W4365790228 creator A5016556182 @default.
- W4365790228 creator A5021890801 @default.
- W4365790228 creator A5038359870 @default.
- W4365790228 creator A5060262327 @default.
- W4365790228 creator A5074828414 @default.
- W4365790228 creator A5083650030 @default.
- W4365790228 date "2023-01-01" @default.
- W4365790228 modified "2023-10-01" @default.
- W4365790228 title "Hand Movement Recognition and Salient Tremor Feature Extraction with Wearable Devices in Parkinson’s Patients" @default.
- W4365790228 doi "https://doi.org/10.1109/tcds.2023.3266812" @default.
- W4365790228 hasPublicationYear "2023" @default.
- W4365790228 type Work @default.
- W4365790228 citedByCount "0" @default.
- W4365790228 crossrefType "journal-article" @default.
- W4365790228 hasAuthorship W4365790228A5004325176 @default.
- W4365790228 hasAuthorship W4365790228A5004591926 @default.
- W4365790228 hasAuthorship W4365790228A5016556182 @default.
- W4365790228 hasAuthorship W4365790228A5021890801 @default.
- W4365790228 hasAuthorship W4365790228A5038359870 @default.
- W4365790228 hasAuthorship W4365790228A5060262327 @default.
- W4365790228 hasAuthorship W4365790228A5074828414 @default.
- W4365790228 hasAuthorship W4365790228A5083650030 @default.
- W4365790228 hasConcept C138885662 @default.
- W4365790228 hasConcept C142724271 @default.
- W4365790228 hasConcept C149635348 @default.
- W4365790228 hasConcept C150594956 @default.
- W4365790228 hasConcept C153180895 @default.
- W4365790228 hasConcept C154945302 @default.
- W4365790228 hasConcept C2776401178 @default.
- W4365790228 hasConcept C2777515770 @default.
- W4365790228 hasConcept C2779134260 @default.
- W4365790228 hasConcept C2779734285 @default.
- W4365790228 hasConcept C2780112193 @default.
- W4365790228 hasConcept C28490314 @default.
- W4365790228 hasConcept C2910515783 @default.
- W4365790228 hasConcept C2911210631 @default.
- W4365790228 hasConcept C41008148 @default.
- W4365790228 hasConcept C41895202 @default.
- W4365790228 hasConcept C52622490 @default.
- W4365790228 hasConcept C71924100 @default.
- W4365790228 hasConcept C79061980 @default.
- W4365790228 hasConcept C99508421 @default.
- W4365790228 hasConceptScore W4365790228C138885662 @default.
- W4365790228 hasConceptScore W4365790228C142724271 @default.
- W4365790228 hasConceptScore W4365790228C149635348 @default.
- W4365790228 hasConceptScore W4365790228C150594956 @default.
- W4365790228 hasConceptScore W4365790228C153180895 @default.
- W4365790228 hasConceptScore W4365790228C154945302 @default.
- W4365790228 hasConceptScore W4365790228C2776401178 @default.
- W4365790228 hasConceptScore W4365790228C2777515770 @default.
- W4365790228 hasConceptScore W4365790228C2779134260 @default.
- W4365790228 hasConceptScore W4365790228C2779734285 @default.
- W4365790228 hasConceptScore W4365790228C2780112193 @default.
- W4365790228 hasConceptScore W4365790228C28490314 @default.
- W4365790228 hasConceptScore W4365790228C2910515783 @default.
- W4365790228 hasConceptScore W4365790228C2911210631 @default.
- W4365790228 hasConceptScore W4365790228C41008148 @default.
- W4365790228 hasConceptScore W4365790228C41895202 @default.
- W4365790228 hasConceptScore W4365790228C52622490 @default.
- W4365790228 hasConceptScore W4365790228C71924100 @default.
- W4365790228 hasConceptScore W4365790228C79061980 @default.
- W4365790228 hasConceptScore W4365790228C99508421 @default.
- W4365790228 hasLocation W43657902281 @default.
- W4365790228 hasOpenAccess W4365790228 @default.
- W4365790228 hasPrimaryLocation W43657902281 @default.
- W4365790228 hasRelatedWork W1580665135 @default.
- W4365790228 hasRelatedWork W2049441784 @default.
- W4365790228 hasRelatedWork W2110672886 @default.
- W4365790228 hasRelatedWork W2124167416 @default.
- W4365790228 hasRelatedWork W2414431212 @default.
- W4365790228 hasRelatedWork W2787946293 @default.
- W4365790228 hasRelatedWork W2935894013 @default.
- W4365790228 hasRelatedWork W2979582156 @default.
- W4365790228 hasRelatedWork W3093343098 @default.
- W4365790228 hasRelatedWork W4214664036 @default.
- W4365790228 isParatext "false" @default.
- W4365790228 isRetracted "false" @default.
- W4365790228 workType "article" @default.