Femoral Fracture Assessment Using Acceleration Signals Combined with Convolutional Neural Network-Reference-Cited by-同舟云学术

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Femoral Fracture Assessment Using Acceleration Signals Combined with Convolutional Neural Network

Published:2023-10-29 Issue: Volume: Page:
ISSN:2523-3920
Container-title:Journal of Vibration Engineering & Technologies
language:en
Short-container-title:J. Vib. Eng. Technol.

Author:

Zhang Jiqiao,Zhu Silang,Jin Zihan,Yang Wenbin,Chen Gongfa,Cui Fangsen

Funder

Natural Science Foundation of Guangdong Province

the Program of Study Abroad for Young Scholars in Guangdong University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Link

https://link.springer.com/content/pdf/10.1007/s42417-023-01165-3.pdf

Reference38 articles.

1. Augat P, Faschingbauer M, Seide K et al (2014) Biomechanical methods for the assessment of fracture repair. Injury-Int J Care Injured 45:S32–S38

2. Kooistra BW, Sprague S, Bhandari M et al (2010) Outcomes assessment in fracture healing trials: a primer. J Orthop Trauma 24:S71–S75

3. Claes LE, Cunningham JL (2009) Monitoring the mechanical properties of healing bone. Clin Orthop Relat Res 467(8):1964–1971

4. Morshed S, Corrales L, Genant H et al (2008) Outcome assessment in clinical trials of fracture-healing. J Bone Joint Surgery-Am 90A:62–67

5. Wade R, Richardson J (2001) Outcome in fracture healing: a review. Injury-Int J Care Injured 32(2):109–114

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