Determining a long term ambulatory load profile of the shoulder joint: neural networks predifcting input for a musculoskeletal model

WHK de Vries, HEJ Veeger, CTM Baten, FCT van der Helm

Research output: Contribution to journal › Article › Scientific › peer-review

Keywords

@article{f5e75be77a894c89934411727268a096,

title = "Determining a long term ambulatory load profile of the shoulder joint: neural networks predifcting input for a musculoskeletal model",

keywords = "CWTS 0.75 <= JFIS < 2.00",

author = "{de Vries}, WHK and HEJ Veeger and CTM Baten and {van der Helm}, FCT",

year = "2012",

language = "English",

volume = "31",

pages = "419--428",

journal = "Human Movement Science",

issn = "0167-9457",

publisher = "Elsevier",

number = "2",

}

TY - JOUR

T1 - Determining a long term ambulatory load profile of the shoulder joint: neural networks predifcting input for a musculoskeletal model

AU - de Vries, WHK

AU - Veeger, HEJ

AU - Baten, CTM

AU - van der Helm, FCT

PY - 2012

Y1 - 2012

KW - CWTS 0.75 <= JFIS < 2.00

M3 - Article

SN - 0167-9457

VL - 31

SP - 419

EP - 428

JO - Human Movement Science

JF - Human Movement Science

IS - 2

ER -