Vibroarthrographic signals for the low-cost and computationally efficient classification of aging and healthy knees

• VAG signals were used to identify aging knees. • An STFT-PCA-based noise reduction method was successfully applied to mechanical biosignals. • The applicability of spectrum entropy in the classification was extended. • This work lays a foundation for the non-invasive diagnosis of early knee aging....
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Gong, Rui [verfasserIn]

Ohtsu, Hajime

Hase, Kazunori

Ota, Susumu

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

Spectrum Entropy

Vibroarthrographic signal

Knee aging

Classification

Übergeordnetes Werk:

Enthalten in: Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood - Yan, Yinkun ELSEVIER, 2017, Amsterdam [u.a.]

Übergeordnetes Werk:

volume:70 ; year:2021 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.bspc.2021.103003

Katalog-ID:

ELV055177336

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