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Establishing predictive indicators for the status of loaded soft tissues

Author
KNIGHT, Sarah L1 ; TAYLOR, Richard P2 ; POLLIACK, Adrian A2 ; BADER, Dan L1
[1] I.R.C. in Biomedical Materials, Queen Mary, University of London, London E1 4NS, United Kingdom
[2] Department of Clinical Biochemistry, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
Source

Journal of applied physiology (1985). 2001, Vol 90, Num 6, pp 2231-2237 ; ref : 24 ref

CODEN
JAPHEV
ISSN
8750-7587
Scientific domain
Applied physiology, ergonomics sports medicine; Physiology, morphology
Publisher
American Physiological Society, Bethesda, MD
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Biomécanique Contrainte mécanique Escarre Homme Méthode non invasive Partie molle Pression Prédiction Ptc CO2 Ptc O2 Peau pathologie
Keyword (en)
Biomechanics Mechanical stress Sore Human Non invasive method Soft tissue Pressure Prediction Transcutaneous carbon dioxide pressure Transcutaneous oxygen pressure Skin disease
Keyword (es)
Biomecánica Tensión mecánica Escara Hombre Método no invasivo Parte blanda Presión Predicción Ptc CO2 Ptc O2 Piel patología
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A19 Vertebrates: skin, associated glands, phaneres, light organs, various exocrine glands (salt gland, uropygial gland...), adipose tissue, connective tissue

Discipline
Vertebrates : skin, associated glands, phaneres, light organs, various exocrine glands, adipose tissue, connective tissue
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1134724

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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