AIMC Topic: Monitoring, Ambulatory

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Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model.

Journal of Parkinson's disease Mar 16, 2025
BackgroundFreezing of gait (FoG) is a complex, frequent, and disabling motor symptom of Parkinson's disease (PD). Wearable technology has the potential to improve FoG assessment by providing objective, quantitative, and continuous monitoring.Objectiv...
Gait Disorders, Neurologic Male Middle Aged Algorithms Wearable Electronic Devices Female Parkinson Disease Aged Monitoring, Ambulatory Accelerometry Humans Machine Learning
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Human Activity Recognition Using Deep Residual Convolutional Network Based on Wearable Sensors.

IEEE journal of biomedical and health informatics Mar 6, 2025
Human activity recognition (HAR) can play a vital role in biomedical and health informatics by enabling the monitoring of human daily activities and health behaviors. Accurate HAR can provide valuable insights into patients' physical activity levels,...
Wearable Electronic Devices Humans Signal Processing, Computer-Assisted Deep Learning Monitoring, Ambulatory Human Activities
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Innovative Dual-Decoupling CNN With Layer-Wise Temporal-Spatial Attention for Sensor-Based Human Activity Recognition.

IEEE journal of biomedical and health informatics Feb 10, 2025
Human Activity Recognition (HAR) is essential for monitoring and analyzing human behavior, particularly in health applications such as fall detection and chronic disease management. Traditional methods, even those incorporating attention mechanisms, ...
Algorithms Signal Processing, Computer-Assisted Monitoring, Ambulatory Humans Neural Networks, Computer Human Activities
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Towards the automatic detection of activities of daily living using eye-movement and accelerometer data with neural networks.

Computers in biology and medicine Jan 1, 2025
Early diagnosis of neurodegenerative diseases, such as Alzheimer's disease, improves treatment and care outcomes for patients. Early signs of cognitive decline can be detected using functional scales, which are written records completed by a clinicia...
Humans Male Eye Movements Activities of Daily Living Monitoring, Ambulatory Neural Networks, Computer Female Aged Accelerometry
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In-Home Gait Abnormality Detection Through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning.

IEEE journal of biomedical and health informatics Dec 5, 2024
Detecting gait abnormalities is crucial for assessing fall risks and early identification of neuromusculoskeletal disorders such as Parkinson's and stroke. Traditional assessments in gait clinics are infrequent and pose barriers, particularly for dis...
Vibration Gait Disorders, Neurologic Monitoring, Ambulatory Gait Analysis Floors and Floorcoverings Aged Adult Male Middle Aged Signal Processing, Computer-Assisted Gait Humans Machine Learning Female
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Learning Motion Primitives for the Quantification and Diagnosis of Mobility Deficits.

IEEE transactions on bio-medical engineering Nov 21, 2024
The severity of mobility deficits is one of the most critical parameters in the diagnosis of Parkinson's disease (PD) and rehabilitation. The current approach for severity evaluation is clinical scaling that relies on a clinician's subjective observa...
Signal Processing, Computer-Assisted Monitoring, Ambulatory Movement Machine Learning Algorithms Female Wearable Electronic Devices Parkinson Disease Aged Humans Male
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Wearable-Enabled Algorithms for the Estimation of Parkinson's Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2024
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus, the ideal home monitoring system should be capable of tracking symptoms continuously despite background noise from daily activities. The goal of thi...
Tremor Middle Aged Dyskinesias Wearable Electronic Devices Humans Parkinson Disease Algorithms Machine Learning Aged Video Recording Equipment Design Female Sensitivity and Specificity Monitoring, Ambulatory Feasibility Studies Accelerometry Reproducibility of Results Male Activities of Daily Living Hypokinesia
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Automated Detection of In-Home Activities with Ultra-Wideband Sensors.

Sensors (Basel, Switzerland) Jul 20, 2024
As Canada's population of older adults rises, the need for aging-in-place solutions is growing due to the declining quality of long-term-care homes and long wait times. While the current standards include questionnaire-based assessments for monitorin...
Humans Machine Learning Wearable Electronic Devices Monitoring, Ambulatory Monitoring, Physiologic Accelerometry Activities of Daily Living
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Cross-Attention Enhanced Pyramid Multi-Scale Networks for Sensor-Based Human Activity Recognition.

IEEE journal of biomedical and health informatics May 6, 2024
Human Activity Recognition (HAR) has recently attracted widespread attention, with the effective application of this technology helping people in areas such as healthcare, smart homes, and gait analysis. Deep learning methods have shown remarkable pe...
Deep Learning Signal Processing, Computer-Assisted Monitoring, Ambulatory Neural Networks, Computer Humans Human Activities Algorithms Databases, Factual
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Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 1, 2022
Proactively detecting falls and preventing injuries are among the primary keys to a healthy life for the elderly. Near-fall remote monitoring in daily life could provide key information to prevent future falls and obtain quantitative rehabilitation s...
Monitoring, Ambulatory Deep Learning Accidental Falls Activities of Daily Living Humans Algorithms Aged
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