Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224319671> ?p ?o ?g. }
- W4224319671 endingPage "189" @default.
- W4224319671 startingPage "189" @default.
- W4224319671 abstract "Parkinson’s disease (PD) is the second most common progressive neurodegenerative disorder, affecting 6.2 million patients and causing disability and decreased quality of life. The research is oriented nowadays toward artificial intelligence (AI)-based wearables for early diagnosis and long-term PD monitoring. Our primary objective is the monitoring and assessment of gait in PD patients. We propose a wearable physiograph for qualitative and quantitative gait assessment, which performs bilateral tracking of the foot biomechanics and unilateral tracking of arm balance. Gait patterns are assessed by means of correlation. The surface plot of a correlation coefficient matrix, generated from the recorded signals, is classified using convolutional neural networks into physiological or PD-specific gait. The novelty is given by the proposed AI-based decisional support procedure for gait assessment. A proof of concept of the proposed physiograph is validated in a clinical environment on five patients and five healthy controls, proving to be a feasible solution for ubiquitous gait monitoring and assessment in PD. PD management demonstrates the complexity of the human body. A platform empowering multidisciplinary, AI-evidence-based decision support assessments for optimal dosing between drug and non-drug therapy could lay the foundation for affordable precision medicine." @default.
- W4224319671 created "2022-04-26" @default.
- W4224319671 creator A5031323885 @default.
- W4224319671 creator A5048119758 @default.
- W4224319671 creator A5055776649 @default.
- W4224319671 creator A5057038415 @default.
- W4224319671 creator A5063122100 @default.
- W4224319671 creator A5064518648 @default.
- W4224319671 creator A5084965488 @default.
- W4224319671 date "2022-03-23" @default.
- W4224319671 modified "2023-10-12" @default.
- W4224319671 title "Proof of Concept in Artificial-Intelligence-Based Wearable Gait Monitoring for Parkinson’s Disease Management Optimization" @default.
- W4224319671 cites W1525396078 @default.
- W4224319671 cites W1561072761 @default.
- W4224319671 cites W1607330615 @default.
- W4224319671 cites W1945080360 @default.
- W4224319671 cites W1969824462 @default.
- W4224319671 cites W1978771747 @default.
- W4224319671 cites W1982535961 @default.
- W4224319671 cites W1982983312 @default.
- W4224319671 cites W199354732 @default.
- W4224319671 cites W1997993581 @default.
- W4224319671 cites W2002577886 @default.
- W4224319671 cites W2019738036 @default.
- W4224319671 cites W2025689021 @default.
- W4224319671 cites W2042338589 @default.
- W4224319671 cites W2056927915 @default.
- W4224319671 cites W2070947338 @default.
- W4224319671 cites W2086706693 @default.
- W4224319671 cites W2105369152 @default.
- W4224319671 cites W2112455323 @default.
- W4224319671 cites W2125907842 @default.
- W4224319671 cites W2128058994 @default.
- W4224319671 cites W2131786905 @default.
- W4224319671 cites W2132392300 @default.
- W4224319671 cites W2133385858 @default.
- W4224319671 cites W2134697369 @default.
- W4224319671 cites W2134886133 @default.
- W4224319671 cites W2140978740 @default.
- W4224319671 cites W2145954079 @default.
- W4224319671 cites W2153429669 @default.
- W4224319671 cites W2154873668 @default.
- W4224319671 cites W2170141518 @default.
- W4224319671 cites W2202556201 @default.
- W4224319671 cites W2277266195 @default.
- W4224319671 cites W2329683072 @default.
- W4224319671 cites W2401850666 @default.
- W4224319671 cites W2435033896 @default.
- W4224319671 cites W2495975894 @default.
- W4224319671 cites W2519998807 @default.
- W4224319671 cites W2523110810 @default.
- W4224319671 cites W2527824850 @default.
- W4224319671 cites W2532235096 @default.
- W4224319671 cites W2565263503 @default.
- W4224319671 cites W2735939755 @default.
- W4224319671 cites W2749718288 @default.
- W4224319671 cites W2766915324 @default.
- W4224319671 cites W2769571511 @default.
- W4224319671 cites W2774003686 @default.
- W4224319671 cites W2790431923 @default.
- W4224319671 cites W2796012020 @default.
- W4224319671 cites W2890326203 @default.
- W4224319671 cites W2891636448 @default.
- W4224319671 cites W2896742493 @default.
- W4224319671 cites W2900586747 @default.
- W4224319671 cites W2902854345 @default.
- W4224319671 cites W2904404980 @default.
- W4224319671 cites W2917632092 @default.
- W4224319671 cites W2939535752 @default.
- W4224319671 cites W2959224397 @default.
- W4224319671 cites W2975006071 @default.
- W4224319671 cites W2993668814 @default.
- W4224319671 cites W2996117956 @default.
- W4224319671 cites W3004489752 @default.
- W4224319671 cites W3022396150 @default.
- W4224319671 cites W3036108042 @default.
- W4224319671 cites W3092182201 @default.
- W4224319671 cites W3093155618 @default.
- W4224319671 cites W3114637180 @default.
- W4224319671 cites W3126961105 @default.
- W4224319671 cites W3154178068 @default.
- W4224319671 cites W4211151576 @default.
- W4224319671 cites W4290174862 @default.
- W4224319671 doi "https://doi.org/10.3390/bios12040189" @default.
- W4224319671 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35448249" @default.
- W4224319671 hasPublicationYear "2022" @default.
- W4224319671 type Work @default.
- W4224319671 citedByCount "10" @default.
- W4224319671 countsByYear W42243196712022 @default.
- W4224319671 countsByYear W42243196712023 @default.
- W4224319671 crossrefType "journal-article" @default.
- W4224319671 hasAuthorship W4224319671A5031323885 @default.
- W4224319671 hasAuthorship W4224319671A5048119758 @default.
- W4224319671 hasAuthorship W4224319671A5055776649 @default.
- W4224319671 hasAuthorship W4224319671A5057038415 @default.
- W4224319671 hasAuthorship W4224319671A5063122100 @default.
- W4224319671 hasAuthorship W4224319671A5064518648 @default.
- W4224319671 hasAuthorship W4224319671A5084965488 @default.