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Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases

Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases

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Neurodegenerative disorders (NDs) are becoming more prevalent in our aging population, and traditional methods of monitoring ND symptoms can be challenging. Wearable technology offers several advantages, such as continuous monitoring, objective measurements, and remote monitoring. The present reprint includes a collection of eleven research and review articles that propose wearable solutions and explore signal processing, machine learning, and deep learning approaches for the computerized diagnosis and monitoring of NDs. Topics covered include using wearable technology to measure blood pressure, movement, sleep patterns, and brain activity, and developing predictive models to support clinicians in making informed decisions about treatment and care. This reprint is a valuable resource for anyone interested in the potential of wearable technology to improve the diagnosis and management of NDs.

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Keywords

  • Alzheimer Disease
  • Alzheimer’s disease
  • ANN
  • artificial intelligence
  • Artificial Neural Networks
  • biofeedback
  • Blood pressure
  • Bradykinesia
  • Cardiovascular Diseases
  • classic techniques
  • classifications
  • convolutional neural networks
  • deep learning
  • Dementia
  • Digital revolution
  • edge clouds
  • fe
  • frequency harmonics
  • Gait
  • gait analysis
  • gait impairments
  • gate recurrent units
  • harmonic ratio (HR)
  • Healthcare
  • high-order neuro-dynamic functional network
  • Hypertension
  • hypomimia
  • Image processing
  • inertial sensor
  • inertial sensors
  • Internet of Things
  • kNN
  • Machine learning
  • machine learning (ML)
  • movement anticipation
  • n/a
  • naive Bayes classification
  • neurodegenerative disease
  • Neurodegenerative Diseases
  • neurological disorders
  • older adults
  • Parkinson Disease
  • parkinson’s disease
  • photoplethysmography
  • privacy preservation
  • remote monitoring
  • rs-fMRI
  • security
  • Sleep Disorders
  • sleep monitoring
  • smoothness
  • SVM
  • Symmetry
  • Technology, engineering, agriculture
  • Technology: general issues
  • telemonitoring
  • trust management
  • Video Analysis
  • wearable sensor
  • Wearable sensors
  • Wearables

Links

DOI: 10.3390/books978-3-0365-7224-6

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