Cost-Effective Parkinson’s Disease Diagnosis Through IoT-Based Finger Tapping and Real-Time Machine Learning Classification

Parkinson's disease (PD) is a progressive neurological condition that significantly impacts motor functions, including finger tapping (FT). This study aims to develop a cost-effective, real-time, easily implementable, IoT-enabled electronic health record (EHR)-integrated FT analysis system capable...

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Autori principali:	Dwi Arraziqi, Tri Arief Sardjono, Mauridhi Hery Purnomo
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Universitas Pendidikan Ganesha 2025-03-01
Serie:	Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Soggetti:	Finger Tapping Analysis IoT Peak Amplitude Machine Learning Parkinson’s Disease
Accesso online:	https://ejournal.undiksha.ac.id/index.php/janapati/article/view/86371
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