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Drifting pitch awareness after exposure to altered auditory feedback ...
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ФЕМІНІЗАЦІЯ УКРАЇНСЬКОГО ЖІНОЧОГО ЛЕКСИКОНУ: ЛІНГВОЕКОЛОГІЧНИЙ ВИМІР ...
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ФЕМІНІЗАЦІЯ УКРАЇНСЬКОГО ЖІНОЧОГО ЛЕКСИКОНУ: ЛІНГВОЕКОЛОГІЧНИЙ ВИМІР ...
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Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring
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In: Water; Volume 14; Issue 9; Pages: 1384 (2022)
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Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
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In: Sensors; Volume 22; Issue 5; Pages: 1799 (2022)
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Abstract:
Parkinson’s disease is a chronic neurodegenerative disease that affects a large portion of the population, especially the elderly. It manifests with motor, cognitive and other types of symptoms, decreasing significantly the patients’ quality of life. The recent advances in the Internet of Things and Artificial Intelligence fields, including the subdomains of machine learning and deep learning, can support Parkinson’s disease patients, their caregivers and clinicians at every stage of the disease, maximizing the treatment effectiveness and minimizing the respective healthcare costs at the same time. In this review, the considered studies propose machine learning models, trained on data acquired via smart devices, wearable or non-wearable sensors and other Internet of Things technologies, to provide predictions or estimations regarding Parkinson’s disease aspects. Seven hundred and seventy studies have been retrieved from three dominant academic literature databases. Finally, one hundred and twelve of them have been selected in a systematic way and have been considered in the state-of-the-art systematic review presented in this paper. These studies propose various methods, applied on various sensory data to address different Parkinson’s disease-related problems. The most widely deployed sensors, the most commonly addressed problems and the best performing algorithms are highlighted. Finally, some challenges are summarized along with some future considerations and opportunities that arise.
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Keyword:
artificial intelligence; deep learning; internet of things; machine learning; Parkinson’s disease; remote monitoring; sensors; smart personalized healthcare; wearable technology
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URL: https://doi.org/10.3390/s22051799
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Effects of Japanese Special Moras Education Using Evernote
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In: Education Sciences; Volume 12; Issue 4; Pages: 270 (2022)
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Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 2; Pages: 798 (2022)
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Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis
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In: Forests; Volume 13; Issue 2; Pages: 264 (2022)
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Assessment of Communication Abilities in Four Children with Early Bilateral CIs in Clinical and Home Environments with LENA System: A Case Report
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In: Children; Volume 9; Issue 5; Pages: 659 (2022)
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Distinct signatures of subjective confidence and objective accuracy in speech prosody
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03181668 ; Cognition, Elsevier, 2021, 212, pp.104661. ⟨10.1016/j.cognition.2021.104661⟩ (2021)
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Distinct signatures of subjective confidence and objective accuracy in speech prosody
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.sorbonne-universite.fr/hal-03263512 ; Cognition, Elsevier, 2021, 212, pp.104661. ⟨10.1016/j.cognition.2021.104661⟩ (2021)
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Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring
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In: ISSN: 2632-7376 ; EISSN: 2632-7376 ; Cerebral Cortex Communications ; https://hal.archives-ouvertes.fr/hal-03340216 ; Cerebral Cortex Communications, Oxford University Press, 2021, 2, ⟨10.1093/texcom/tgab038⟩ (2021)
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The Use of Motivational Strategies to Enhance Academic Outcomes of Cover, Copy, and Compare Mathematics Intervention
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Kasser, Tali. - : eScholarship, University of California, 2021
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Comprehension Monitoring: The Metacognitive Process of Reading Comprehension Examined via Eye-Movement Methodology
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Hypopharyngeal-Esophageal Impedance-pH Monitoring Profiles of Laryngopharyngeal Reflux Patients
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In: ISSN: 0023-852X ; Laryngoscope ; https://hal.archives-ouvertes.fr/hal-03141466 ; Laryngoscope, Wiley, 2021, 131 (2), pp.268-276. ⟨10.1002/lary.28736⟩ (2021)
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Does Pepsin Saliva Concentration (Peptest™) Predict the Therapeutic Response of Laryngopharyngeal Reflux Patients?
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In: ISSN: 0003-4894 ; EISSN: 1943-572X ; Annals of Otology Rhinology and Laryngology ; https://hal.archives-ouvertes.fr/hal-03401798 ; Annals of Otology Rhinology and Laryngology, SAGE Publications, 2021, 130 (9), pp.996-1003. ⟨10.1177/0003489420986347⟩ (2021)
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MODERN MEANS OF EVALUATING THE RESULTS OF LEARNING FOREIGN LANGUAGES ...
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Отдельные элементы мониторинга деятельности федеральных органов исполнительной власти ... : Individual Elements of Monitoring the Activities of Federal Executive Bodies ...
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Mechanism for preventing and counteracting legalization (laundering) of proceeds from crime in the financial security system of the banking system ...
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