Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data

H Zhao, R Wang, Y Lei, WH Liao, H Cao… - Expert Systems with …, 2022 - Elsevier
The reliable and explainable diagnosis of severity level for Parkinson's disease (PD) is
significant for the therapy. Nonetheless, there are little data for severe PD patients but …

Wearable multisource quantitative gait analysis of Parkinson's diseases

J Xie, H Zhao, J Cao, Q Qu, H Cao, WH Liao… - Computers in Biology …, 2023 - Elsevier
As the motor symptoms of Parkinson's disease (PD) are complex and influenced by many
factors, it is challenging to quantify gait abnormalities adequately using a single type of …

Wearable gait monitoring for diagnosis of neurodegenerative diseases

H Zhao, R Wang, D Qi, J Xie, J Cao, WH Liao - Measurement, 2022 - Elsevier
Wearable gait monitoring is of significance to improve the quality of clinical diagnosis of
neurodegenerative diseases. However, the symptoms of neurodegenerative diseases are …

Classification of Parkinson's disease in patch-based MRI of substantia nigra

SS Hussain, X Degang, PM Shah, SU Islam, M Alam… - Diagnostics, 2023 - mdpi.com
Parkinson's disease (PD) is a chronic and progressive neurological disease that mostly
shakes and compromises the motor system of the human brain. Patients with PD can face …

Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity

H Zhao, J Xie, Y Chen, J Cao, WH Liao… - Cognitive Neurodynamics, 2024 - Springer
The investigation into the distinctive difference of gait is of significance for the clinical
diagnosis of neurodegenerative diseases. However, human gait is affected by many factors …

An “optical flow” method based on pressure sensors data for quantification of Parkinson's disease characteristics

C Dong, Y Chen, Z Huan, Z Li, G Gao, B Zhou - … Signal Processing and …, 2023 - Elsevier
Most patients with Parkinson's disease (PD) have different degrees of movement disorders,
and effective gait analysis is beneficial to find the abnormal gait of patients to achieve the …

Simultaneous Estimation of the Vertical Stiffness in the Knee and Hip for Healthy Human Subjects during Walking

H Zhao, J Cao, WH Liao - Bioengineering, 2023 - mdpi.com
The stiffness of lower limb joints is a critical characteristic of walking. To investigate the
potential of establishing a simple and universal model to describe the characteristics related …

Early detection of Parkinson's disease by unsupervised learning from plantar bend data

H Zhao, J Xie, J Cao - 2022 IEEE 9th international conference …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a progressive neurological disorder that primarily leads to a
series of motor impairments. The reliable and early detection is significant for the therapy …

A Two-Stream 3D-CNN Network Based on Pressure Sensor Data and Its Application in Gait Recognition

C Hu, Z Huan, C Dong - Electronics, 2023 - mdpi.com
Accurate diagnosis of Parkinson's disease (PD) is challenging in clinical medicine. To
reduce the diagnosis time and decrease the diagnosis difficulty, we constructed a two …