Bewegungsanalyse an verschiedenen industriellen Arbeitsplätzen

Guggenbühl, Urs; Krüger, Helmut

doi:10.1007/bf02133840

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…In addition the pattern of movements was measured with a specially developed movement analysis system (12,13). The left wrist, the left elbow, and both acromions were marked with an ultrasonic emitter.…”

Section: Methodsmentioning

confidence: 99%

Design of check-out systems including laser scanners for sitting work posture.

Hinnen¹,

Läubli²,

Guggenbühl³

et al. 1992

Scand J Work Environ Health

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Section: Methodsmentioning

confidence: 99%

Design of check-out systems including laser scanners for sitting work posture.

Hinnen¹,

Läubli²,

Guggenbühl³

et al. 1992

Scand J Work Environ Health

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“…Principles of this system are described in [Guggenbühl & Krüger, 1987] Principles of this system are described in [Guggenbühl & Krüger, 1987] …”

Section: Data Generation and Preprocessingmentioning

confidence: 99%

Diagnosis of Finger Dysfunction Caused by Ulnar Nerve Lesion

Rahmel¹,

Blum²,

Hahn³

1998

Journal of Intelligent Systems

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In this paper we introduce a novel approach for diagnosis and monitoring of ulnar nerve lesions, affecting the coordination of movement of the ring and little finger of the human hand. Symptoms to be observed are static and dynamic anomalies in movement pattern. Based on data generated by ultrasound measurements, we developed suitable preprocessing methods for automatic extraction of relevant features from the movement pattern to be examined. The partial absence of class information even for the patterns in the training set requires the use of unsupervised methods for the learning and class assignment procedures, since common classification or decision tree methods are not applicable. For that reason, we use a new dynamic and hierarchic neural network for the analysis of the generated pattern vectors.The property of topology preservation as well as the dynamically structured architecture of the network make it suited for the special needs of this medical task, such as providing variable levels of generalization and 163 Brought to you by | New York University Bobst Library Technical Services Authenticated Download Date | 5/30/15 11:59 PM Volume 8, Nos. 1-2 Diagnosis of Finger Dysfunction Caused by Ulnar Nerve Lesion efficient retrieval of similar cases for diagnosis purposes. We present a visualization of the clustering structure and classification results.

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Diagnosis and monitoring of ulnar nerve lesions

Rahmel

Blum

Hahn³

et al. 1997

Artificial Intelligence in Medicine

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In this paper we introduce a novel approach for diagnosis and monitoring of ulnar nerve lesions, affecting the coordination of movement of the ring and little finger of the human hand. Based on data generated by ultrasound measurements, we developed suitable preprocessing methods for automatic extraction of relevant features from the movement pattern to be examined. The partial absence of class information even for the pattern in the training set requires the use of unsupervised methods for the learning and class assignment procedures. For that reason, we use a new dynamic and hierarchic neural network for the analysis of the generated pattern vectors. The dynamically structured architecture of the network satisfies the special needs of this medical task, such as providing variable levels of generalization and efficient retrieval of similar cases.

show abstract

Bewegungsanalyse an verschiedenen industriellen Arbeitsplätzen

Cited by 5 publications

References 1 publication

Design of check-out systems including laser scanners for sitting work posture.

Design of check-out systems including laser scanners for sitting work posture.

Diagnosis of Finger Dysfunction Caused by Ulnar Nerve Lesion

Diagnosis and monitoring of ulnar nerve lesions

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