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A systematic review of hidden Markov models and their applications
B Mor, S Garhwal, A Kumar - Archives of computational methods in …, 2021 - Springer
The hidden Markov models are statistical models used in many real-world applications and
communities. The use of hidden Markov models has become predominant in the last …
communities. The use of hidden Markov models has become predominant in the last …
Assessment methods of post-stroke gait: A sco** review of technology-driven approaches to gait characterization and analysis
Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …
A survey of human gait-based artificial intelligence applications
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
[HTML][HTML] Patient similarity for precision medicine: A systematic review
Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical
practice guidelines typically define a set of recommendations together with eligibility criteria …
practice guidelines typically define a set of recommendations together with eligibility criteria …
Movement primitive segmentation for human motion modeling: A framework for analysis
Movement primitive segmentation enables long sequences of human movement
observation data to be segmented into smaller components, termed movement primitives, to …
observation data to be segmented into smaller components, termed movement primitives, to …
Simultaneous recognition and assessment of post-stroke hemiparetic gait by fusing kinematic, kinetic, and electrophysiological data
Gait analysis for the patients with lower limb motor dysfunction is a useful tool in assisting
clinicians for diagnosis, assessment, and rehabilitation strategy making. Implementing …
clinicians for diagnosis, assessment, and rehabilitation strategy making. Implementing …
Human gait modeling and analysis using a semi-Markov process with ground reaction forces
Modeling and evaluation of patients' gait patterns is the basis for both gait assessment and
gait rehabilitation. This paper presents a convenient and real-time gait modeling, analysis …
gait rehabilitation. This paper presents a convenient and real-time gait modeling, analysis …
[HTML][HTML] Is my patient improving? Individualized gait analysis in rehabilitation
In the rehabilitation field, clinicians are continually struggling to assess improvements in
patients following interventions. In this paper, we propose an approach to use gait analysis …
patients following interventions. In this paper, we propose an approach to use gait analysis …
Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers
Knee osteoarthritis (OA) is the most common joint disorder which results in mobility
impairment and altered gait patterns. For the purpose of develo** an automatic and highly …
impairment and altered gait patterns. For the purpose of develo** an automatic and highly …
Fine-grained unsupervised temporal action segmentation and distributed representation for skeleton-based human motion analysis
Understanding the fine-grained temporal structure of human actions and its semantic
interpretation is beneficial to many real-world tasks, such as sports movements …
interpretation is beneficial to many real-world tasks, such as sports movements …