Most patients with Parkinson's disease (PD) have different degrees of movement disorders,
and effective gait analysis has a huge potential for uncovering hidden gait patterns to …

This paper presents an efficient deep neural network model for diagnosing Parkinson's
disease from gait. More specifically, we introduce a hybrid ConvNet-Transformer …

Background/Objectives: This paper proposes a method for managing gait imbalances by
integrating the Internet of Things (IoT) and machine learning technologies. Ankle–foot …

Parkinson's disease (PD) is a neurodegenerative disease with a high incidence rate.
Effective early diagnosis of PD is critical to prevent further deterioration of a patient's …

Vertical Ground Reaction Force (VGRF) signal obtained from foot-worn sensors, also known
as plantar data, provides a highly informative and detailed representation of an individual's …

Parkinson's disease (PD) is a neurological disorder that severely affects motor function,
especially gait, requiring accurate diagnosis and assessment instruments. This study …

Parkinson's disease (PD) is a chronic and long-term disease that seriously affects patients'
quality of life. In underdeveloped areas, early detection of PD is primarily based on medical …

The detection and recognition of different odors in refrigerator food odor detection tasks
prove to be complicated due to the strong correlation between odor features. Existing …

Detecting potential locations of CpG islands is one of the first steps for predicting promoter
regions of many housekeeping and tissue-specific genes, which in turn, helps identify many …

This paper focuses on the severity detection of Parkinson's patients by analyzing their gait.
In recent years, with the popularization of deep learning, gait detection technology has …