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• W3036689927 abstract "The aim of this review is to summarize that most relevant technologies used to evaluate gait features and the associated algorithms that have shown promise to aid diagnosis and symptom monitoring in Parkinson’s disease (PD) patients. We searched PubMed for studies published between 1 January 2005, and 30 August 2019 on gait analysis in PD. We selected studies that have either used technologies to distinguish PD patients from healthy subjects or stratified PD patients according to motor status or disease stages. Only those studies that reported at least 80% sensitivity and specificity were included. Gait analysis algorithms used for diagnosis showed a balanced accuracy range of 83.5–100%, sensitivity of 83.3–100% and specificity of 82–100%. For motor status discrimination the gait analysis algorithms showed a balanced accuracy range of 90.8–100%, sensitivity of 92.5–100% and specificity of 88–100%. Despite a large number of studies on the topic of objective gait analysis in PD, only a limited number of studies reported algorithms that were accurate enough deemed to be useful for diagnosis and symptoms monitoring. In addition, none of the reported algorithms and technologies has been validated in large scale, independent studies." @default.
• W3036689927 created "2020-06-25" @default.
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• W3036689927 date "2020-06-22" @default.
• W3036689927 modified "2023-10-17" @default.
• W3036689927 title "Gait Analysis in Parkinson’s Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring" @default.
• W3036689927 cites W1425868093 @default.
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• W3036689927 cites W1816417036 @default.
• W3036689927 cites W1964370383 @default.
• W3036689927 cites W1970493599 @default.
• W3036689927 cites W1971044242 @default.
• W3036689927 cites W1971691194 @default.
• W3036689927 cites W1979791374 @default.
• W3036689927 cites W2002373649 @default.
• W3036689927 cites W2006750045 @default.
• W3036689927 cites W2009398857 @default.
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• W3036689927 cites W2023890362 @default.
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• W3036689927 cites W2027216536 @default.
• W3036689927 cites W2032409772 @default.
• W3036689927 cites W2035723564 @default.
• W3036689927 cites W2041367523 @default.
• W3036689927 cites W2045822653 @default.
• W3036689927 cites W2054382208 @default.
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• W3036689927 cites W2149350027 @default.
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• W3036689927 cites W2270659945 @default.
• W3036689927 cites W2281923782 @default.
• W3036689927 cites W2389309320 @default.
• W3036689927 cites W2500368946 @default.
• W3036689927 cites W2546458273 @default.
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• W3036689927 cites W2789894922 @default.
• W3036689927 cites W2791044039 @default.
• W3036689927 cites W2792770438 @default.
• W3036689927 cites W2801517650 @default.
• W3036689927 cites W2805442627 @default.
• W3036689927 cites W2888057688 @default.
• W3036689927 cites W2905810301 @default.
• W3036689927 cites W2909376809 @default.
• W3036689927 cites W2914886810 @default.
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• W3036689927 doi "https://doi.org/10.3390/s20123529" @default.
• W3036689927 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7349580" @default.
• W3036689927 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32580330" @default.
• W3036689927 hasPublicationYear "2020" @default.
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