Titlebook: Deep Learning in Smart eHealth Systems; Evaluation Leveragin Asma Channa,Nirvana Popescu Book 2024 The Editor(s) (if applicable) and The Au

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Integrity and normality. The singular locus,personalized management strategies. Additionally, the chapter underscores the significance of distinguishing PD from conditions with similar symptomatology to prevent misdiagnosis, ultimately leading to improved patient outcomes and an elevated quality of life.

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觀察

https://doi.org/10.1007/978-3-531-19729-6racy. This methodology presents a promising avenue for automated, sensor-based detection of medication wearing off in PD patients, offering valuable insights into timely intervention and enhanced management strategies.

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https://doi.org/10.1007/978-3-322-92410-0 control. Another aspect introduced in this chapter outlines an innovative approach to gait assessment, employing the continuous wavelet transform method. This approach addresses the analysis of idiopathic PD severity levels as well as gait variability in age-matched individuals.

PAD416

,Unraveling Parkinson’s Disease: Diagnostic Challenges and Severity Assessment,personalized management strategies. Additionally, the chapter underscores the significance of distinguishing PD from conditions with similar symptomatology to prevent misdiagnosis, ultimately leading to improved patient outcomes and an elevated quality of life.

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,State-of-the-Art: Wearable Devices and Deep Learning Techniques for Parkinson’s Disease,an eHealth platform tailored for PD patients. The developed eHealth platform exemplifies the potential for advanced technologies to revolutionize the field and enhance the quality of life for individuals grappling with this debilitating neurological disorder.

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,Predicting Wearing-Off Episodes in Parkinson’s with Multimodal Machine Learning,racy. This methodology presents a promising avenue for automated, sensor-based detection of medication wearing off in PD patients, offering valuable insights into timely intervention and enhanced management strategies.

歸功于

Enhancing Gait Analysis Through Wearable Insoles and Deep Learning Techniques, control. Another aspect introduced in this chapter outlines an innovative approach to gait assessment, employing the continuous wavelet transform method. This approach addresses the analysis of idiopathic PD severity levels as well as gait variability in age-matched individuals.

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