Detection and assessment of Parkinson's disease based on gait analysis: A survey
Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …
healthcare applications, both clinical and remote, but the best performing AI systems are …
The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson's disease
P Wu, B Cao, Z Liang, M Wu - Frontiers in aging neuroscience, 2023 - frontiersin.org
Background Parkinson's disease is a neurological disorder that can cause gait disturbance,
leading to mobility issues and falls. Early diagnosis and prediction of freeze episodes are …
leading to mobility issues and falls. Early diagnosis and prediction of freeze episodes are …
Exploring local explanation of practical industrial AI applications: A systematic literature review
In recent years, numerous explainable artificial intelligence (XAI) use cases have been
developed, to solve numerous real problems in industrial applications while maintaining the …
developed, to solve numerous real problems in industrial applications while maintaining the …
Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions
With the power of parallel processing, large datasets, and fast computational resources,
deep neural networks (DNNs) have outperformed highly trained and experienced human …
deep neural networks (DNNs) have outperformed highly trained and experienced human …
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks
Background Freezing of gait (FOG) is a common and debilitating gait impairment in
Parkinson's disease. Further insight into this phenomenon is hampered by the difficulty to …
Parkinson's disease. Further insight into this phenomenon is hampered by the difficulty to …
Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops
Background Freezing of gait (FOG) is an episodic and highly disabling symptom of
Parkinson's Disease (PD). Traditionally, FOG assessment relies on time-consuming visual …
Parkinson's Disease (PD). Traditionally, FOG assessment relies on time-consuming visual …
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network
Freezing of Gait (FOG) is a noticeable symptom of Parkinson's disease, like being stuck in
place and increasing the risk of falls. The wearable multi-channel sensor system is an …
place and increasing the risk of falls. The wearable multi-channel sensor system is an …
Insights into Parkinson's Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis
Parkinson's Disease (PD) is a complex neurodegenerative disorder characterized by a
spectrum of motor and non-motor symptoms, prominently featuring the freezing of gait …
spectrum of motor and non-motor symptoms, prominently featuring the freezing of gait …
Technology for measuring freezing of gait: Current state of the art and recommendations
This report summarizes the existing literature on the use of technology for the assessment of
freezing of gait (FOG) as well as the use of technology to provide insights into the …
freezing of gait (FOG) as well as the use of technology to provide insights into the …