Hidden Markov model-based similarity measure (HMM-SM) for gait quality assessment of lower-limb prosthetic users using inertial sensor signals. [PDF]
Abstract Background Gait quality indices, such as the Gillette Gait Index or Gait Profile Score (GPS), can provide clinicians with objective, straightforward measures to quantify gait pathology and monitor changes over time.
Ng G, Andrysek J.
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Wearable gait analysis systems using inertial sensors offer the potential for easy-to-use gait assessment in lab and free-living environments. This can enable objective long-term monitoring and decision making for individuals with gait disabilities. This study explores a novel approach that applies a hidden Markov model-based similarity measure (HMM-SM)
Gabriel Ng, Aliaa Gouda, Jan Andrysek
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A unified framework of information measures for complex linear Diophantine fuzzy sets with application to chronic kidney disease. [PDF]
Mustafa AW, Bashir Z, Ali J, Syam MI.
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Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information. [PDF]
Attaullah +4 more
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Recurring transient brain-wide co-activation patterns from EEG spatially resembling time-averaged resting-state networks. [PDF]
Nkurumeh KK, Yuan H, Ding L.
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Partial substitution in the hidden curriculum of children's media: a comparative corpus analysis of religion-oriented and general-educational Turkish public broadcasting. [PDF]
Şimşek R.
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Circulating Plasma Adiposomes as a Partial Lipidomic Readout of Matched Subcutaneous Adipose Tissue: Implications for Interorgan Communication. [PDF]
Rakab MS +9 more
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Unified time series classification framework for explainable artificial intelligence. [PDF]
Bragança H, Souto E.
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Hide and seek: de novo identification in sugar beet reveals impact of non-autonomous LTR retrotransposons. [PDF]
Maiwald S, Maiwald F, Heitkam T.
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SPOmiAlign: a modality-agnostic computational framework for multimodal spatial omics alignment enabled by a feature matching foundation model. [PDF]
Wang Y, He Z, Yan Y.
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