Journal Article

·2021

A computerized method to assess Parkinson’s disease severity from gait variability based on gender

İsmail Cantürk YTU

Biomedical Signal Processing and Control

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Gait Parkinson's disease Disease Binary classification Dopaminergic Physical medicine and rehabilitation Medicine Artificial intelligence Computer science Pathology Internal medicine Support vector machine

Subject Areas

Parkinson's Disease Mechanisms and Treatments ·Neurology ·Health Sciences
Muscle activation and electromyography studies ·Biomedical Engineering ·Physical Sciences
Balance, Gait, and Falls Prevention ·Physical Therapy, Sports Therapy and Rehabilitation ·Health Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Reduced inequalities 41%

Related Articles

Other articles contributing to the same SDGs.

2026

Model-independent measurement of the Higgs boson associated production with two jets and decaying to a pair of W bosons in proton-proton collisions at $$ \sqrt{s}=13 $$ TeV

Journal of High Energy Physics

2026

Search for low-mass hidden-valley dark showers with non-prompt muon pairs in proton-proton collisions at $$ \sqrt{s}=13 $$ TeV

Journal of High Energy Physics

2026

Measurements of the inclusive W and Z boson production cross sections and their ratios in proton-proton collisions at $$\sqrt{s}=13.6$$ TeV

Journal of High Energy Physics

2026

Measurements of $$ \textrm{t}\overline{\textrm{t}}\textrm{W} $$ differential cross sections and the leptonic charge asymmetry at $$ \sqrt{s}=13 $$ TeV

Journal of High Energy Physics
All articles