An unsupervised transfer learning algorithm for sleep monitoring [PDF]
Objective: To develop multisensor-wearable-device sleep monitoring algorithms that are robust to health disruptions affecting sleep patterns. Methods: We develop an unsupervised transfer learning algorithm based on a multivariate hidden Markov model and Fisher's linear discriminant analysis, adaptively adjusting to sleep pattern shift by training on ...
arxiv
Editorial: Orofacial Pain, Bruxism, and Sleep [PDF]
Mieszko Wieckiewicz, E. Winocur
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Genetic Factors Account for Half of the Phenotypic Variance in Liability to Sleep-Related Bruxism in Young Adults: A Nationwide Finnish Twin Cohort Study [PDF]
K. Rintakoski+4 more
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1819 Sleeping Bruxism and Orofacial Dysfunction in Children and Adolescents [PDF]
Maria Beatriz Duarte Gavião+4 more
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Association between polysomnographic parameters of sleep bruxism and attrition‐type tooth wear [PDF]
Despoina Kapagiannidou+5 more
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Electrophysiological maturation and increased excitability of human iPSC-derived neurons inHTR2Avariant-related sleep bruxism [PDF]
Avijite Kumer Sarkar+8 more
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UNLOCKING THE MIND-BODY CONNECTION: BRUXISM VERSUS PSYCHOLOGICAL FACTORS
Bruxism is a non-functional activity of the dental-maxillary apparatus characterized by repetitive, unconscious movements, such as grinding or clenching teeth and/or thrusting the mandible.
Mirela Ioana Fluerasu+8 more
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Effects of massage therapy and occlusal splint therapy on electromyographic activity and the intensity of signs and symptoms in individuals with temporomandibular disorder and sleep bruxism: a randomized clinical trial [PDF]
Cid André Fidelis de Paula Gomes+4 more
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Biofeedback for treatment of awake and sleep bruxism in adults: systematic review protocol [PDF]
Sasă Ilovar+4 more
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