DocumentCode
2089773
Title
Automated hand-forearm ergometer data collection system
Author
Gude, Dana ; Broxterman, Ryan ; Ade, C. ; Barstow, Thomas ; Nelson, T. ; Wen Song ; Warren, Steve
Author_Institution
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
2379
Lastpage
2382
Abstract
Handgrip contractions are a standard exercise modality to evaluate cardiovascular system performance. Most conventional ergometer systems of this nature are manually controlled, placing a burden on the researcher to guide subject activity while recording the resultant data. This paper presents updates to a hand-forearm ergometer system that automate the control and data-acquisition processes. A LabVIEW virtual instrument serves as the centerpiece for the system, providing the subject/researcher interfaces as well as coordinating data acquisition from both traditional and new sensors. Initial data indicate the viability of the system with regard to its ability to obtain consistent and physiologically meaningful data.
Keywords
biological tissues; biomedical equipment; blood vessels; cardiovascular system; data acquisition; electromyography; haemodynamics; virtual instrumentation; LabVIEW virtual instrument; automated hand-forearm ergometer data collection system; cardiovascular system performance; conventional ergometer systems; coordinating data acquisition; data-acquisition processes; handgrip contractions; physiologically meaningful data; standard exercise modality; traditional sensors; Data acquisition; Fatigue; Force; Muscles; Sensor systems; LabVIEW; data acquisition; hand-forearm ergometer; handgrip ergometer; muscle fatigue; Biofeedback, Psychology; Equipment Design; Equipment Failure Analysis; Ergometry; Forearm; Hand; Humans; Information Storage and Retrieval; Muscle Contraction; Muscle, Skeletal; Reproducibility of Results; Robotics; Sensitivity and Specificity; User-Computer Interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6346442
Filename
6346442
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