A biomechanical perspective on walking in patients with peripheral artery disease
The most common symptom of peripheral artery disease (PAD) is intermittent claudication,
which consists of debilitating leg pain during walking. In clinical settings, the presence of …
which consists of debilitating leg pain during walking. In clinical settings, the presence of …
Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation
This paper demonstrates the value of a framework for processing data on body acceleration
as a uniquely valuable tool for diagnosing diseases that affect gait early. As a case study, we …
as a uniquely valuable tool for diagnosing diseases that affect gait early. As a case study, we …
Deep Learning and Transfer Learning in Cardiology: A Review of Cardiovascular Disease Prediction Models
GS Kumar, P Kumaresan - IEEE Access, 2024 - ieeexplore.ieee.org
Cardiovascular disorders are the primary cause of death on a global scale. The World
Health Organization report indicates that approximately 18 million people die from CVD …
Health Organization report indicates that approximately 18 million people die from CVD …
A machine learning algorithm for peripheral artery disease prognosis using biomarker data
Peripheral artery disease (PAD) biomarkers have been studied in isolation; however, an
algorithm that considers a protein panel to inform PAD prognosis may improve predictive …
algorithm that considers a protein panel to inform PAD prognosis may improve predictive …
Machine learning-based gait adaptation dysfunction identification using CMill-based gait data
H Yang, Z Liao, H Zou, K Li, Y Zhou, Z Gao… - Frontiers in …, 2024 - frontiersin.org
Background Combining machine learning (ML) with gait analysis is widely applicable for
diagnosing abnormal gait patterns. Objective To analyze gait adaptability characteristics in …
diagnosing abnormal gait patterns. Objective To analyze gait adaptability characteristics in …
Prediction of Major Adverse Limb Events in Females with Peripheral Artery Disease using Blood-Based Biomarkers and Clinical Features
The objective of this study was to identify a female-specific prognostic biomarker for
peripheral artery disease (PAD) and develop a prediction model for 2-year major adverse …
peripheral artery disease (PAD) and develop a prediction model for 2-year major adverse …
MMR-CNN-soft-NMS: An efficient wound segmentation algorithm for diagnosis of peripheral artery disease
NK Almazmomi - Neural Computing and Applications, 2024 - Springer
Peripheral artery disease (PAD) is a disease that requires a lot of medical care yet is often
disregarded by people. Till now, wound segmentation has been investigated by various …
disregarded by people. Till now, wound segmentation has been investigated by various …
Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study
Aims Cardiovascular disease (CVD) may not be detected in time with conventional clinical
approaches. Abnormal gait patterns have been associated with pathological conditions and …
approaches. Abnormal gait patterns have been associated with pathological conditions and …
Artificial Intelligence Techniques for Prognostic and Diagnostic Assessments in Peripheral Artery Disease: A Sco** Review
Peripheral artery disease (PAD) is a major public health concern worldwide, associated with
high risk of mortality and morbidity related to cardiovascular and adverse limb events …
high risk of mortality and morbidity related to cardiovascular and adverse limb events …
PAD Diagnosis and Estimation of Treatment Effectiveness Using Machine Learning
AH Al-Ramini - 2023 - search.proquest.com
The fusion of engineering, medicine, and data science offers transformative solutions to
healthcare challenges. This dissertation epitomizes this synergy by focusing on develo** …
healthcare challenges. This dissertation epitomizes this synergy by focusing on develo** …