Gait analysis, a way of assessing the manner of walking, is considered a significant criterion
in diagnosing movement disorders. Various factors contribute to the alterations in gait …

Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …

Sensors | Free Full-Text | Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables
and Machine Learning Next Article in Journal CAFD: Context-Aware Fault Diagnostic Scheme …

Some wearable solutions exploiting on-body acceleration sensors have been proposed to
recognize Freezing of Gait (FoG) in people affected by Parkinson Disease (PD). Once a FoG …

Freezing of gait (FOG) is a sudden and highly disruptive gait dysfunction that appears in mid
to late-stage Parkinson's disease (PD) and can lead to falling and injury. A system that …

Freezing of gait (FOG) is one of the most incapacitating symptoms in Parkinson's disease,
affecting more than 50% of patients in advanced stages of the disease. The presence of …

This study determined whether the kinematics of lower limb trajectories during walking could
be extrapolated using long short-term memory (LSTM) neural networks. It was hypothesised …

Fluctuations in motor symptoms are mostly observed in Parkinson's disease (PD) patients.
This characteristic is inevitable, and can affect the quality of life of the patients. However, it is …

Abstract Objective Freezing of gait (FoG) is a serious symptom of Parkinson's disease and
prompt detection of FoG is crucial for fall prevention. Although multimodal data combining …

Background The occurrence of freezing of gait (FOG) is often observed in moderate to last-
stage Parkinson's disease (PD), leading to a high risk of falls. The emergence of the …