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The effect of anisotropic systematic errors in estimating helical angles
Umeå universitet, Medicinska fakulteten, Institutionen för strålningsvetenskaper, Radiofysik.ORCID-id: 0000-0003-3363-7414
2008 (Engelska)Ingår i: Computer Methods in Biomechanics and Biomedical Engineering, ISSN 1025-5842, E-ISSN 1476-8259, Vol. 11, nr 2, s. 205-213Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

A common question in movement studies is how the results should be interpreted with respect to systematic and random errors. In this study, simulations are made in order to see how a rigid body's orientation in space (i.e. helical angle between two orientations) is affected by (1) a systematic error added to a single marker (2) a combination of this systematic error and Gaussian white noise. The orientation was estimated after adding a systematic error to one marker within the rigid body. This procedure was repeated with Gaussian noise added to each marker.

In conclusion, results show that the systematic error's effect on estimated orientation depends on number of markers in the rigid body and also on which direction the systematic error is added. The systematic error has no effect if the error is added along the radial axis (i.e. the line connecting centre of mass and the affected marker).

Ort, förlag, år, upplaga, sidor
Taylor & Francis, 2008. Vol. 11, nr 2, s. 205-213
Nyckelord [en]
screw, helical, angle, systematic, accuracy, error
Nationell ämneskategori
Radiologi och bildbehandling
Identifikatorer
URN: urn:nbn:se:umu:diva-9496DOI: 10.1080/10255840701722498ISI: 000254241100009PubMedID: 18297498OAI: oai:DiVA.org:umu-9496DiVA, id: diva2:149167
Tillgänglig från: 2008-04-10 Skapad: 2008-04-10 Senast uppdaterad: 2019-08-07Bibliografiskt granskad
Ingår i avhandling
1. Biomechanical methods and error analysis related to chronic musculoskeletal pain
Öppna denna publikation i ny flik eller fönster >>Biomechanical methods and error analysis related to chronic musculoskeletal pain
2009 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Background Spinal pain is one of humanity’s most frequent complaints with high costs for the individual and society, and is commonly related to spinal disorders. There are many origins behind these disorders e.g., trauma, disc hernia or of other organic origins. However, for many of the disorders, the origin is not known. Thus, more knowledge is needed about how pain affects the neck and neural function in pain affected regions. The purpose of this dissertation was to improve the medical examination of patients suffering from chronic whiplash-associated disorders or other pain related neck-disorders.

Methods A new assessment tool for objective movement analysis was developed. In addition, basic aspects of proprioceptive information transmission, which can be of relevance for muscular tension and pain, are investigated by studying the coding of populations of different types of sensory afferents by using a new spike sorting method. Both experiments in animal models and humans were studied to accomplish the goals of this dissertation. Four cats where were studied in acute animal experiments. Mixed ensembles of afferents were recorded from L7-S1 dorsal root filaments when mechanical stimulating the innervated muscle. A real-time spike sorting method was developed to sort units in a multi-unit recording. The quantification of population coding was performed using a method based on principal component analysis. In the human studies, 3D neck movement data were collected from 59 subjects with whiplash-associated disorders (WAD) and 56 control subjects. Neck movement patterns were identified by processing movement data into parameters describing the rotation of the head for each subject. Classification of neck movement patterns was performed using a neural network using processed collected data as input. Finally, the effect of marker position error on the estimated rotation of the head was evaluated by computer simulations.

Results Animal experiments showed that mixed ensembles of different types of afferents discriminated better between different muscle stimuli than ensembles of single types of these afferents. All kinds of ensembles showed an increase in discriminative ability with increased ensemble size. It is hypothesized that the main reason for the greater discriminative ability might be the variation in sensitivity tuning among the individual afferents of the mixed ensemble will be larger than that for ensembles of only one type of afferent. In the human studies, the neural networks had a predictivity of 0.89, a sensitivity of 0.90 and a specificity of 0.88 when discriminating between control and WAD subjects. Also, a systematic error along the radial axis of the rigid body added to a single marker had no affect on the estimated rotation of the head.

Conclusion The developed spike sorting method, using neural networks, was suitable for sorting a multiunit recording into single units when performing neurophysiological experiments. Also, it was shown that neck movement analysis combined with a neural network could build the basis of a decision support system for classifying suspected WAD or other pain related neck-disorders.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå universitet, 2009. s. 110
Serie
Umeå University medical dissertations, ISSN 0346-6612 ; 1240
Nyckelord
cervical spine, ensemble theory, error analysis, helical axis, kinematics, movement analysis, neural coding, pattern recognition, spike sorting, whiplash
Nationell ämneskategori
Biomedicinsk laboratorievetenskap/teknologi
Identifikatorer
urn:nbn:se:umu:diva-18470 (URN)978-91-7264-717-6 (ISBN)
Distributör:
Institutionen för strålningsvetenskaper, 90185, Umeå
Disputation
2009-02-27, Sal 260, Röntgens föreläsningssal, by 3A, Norrlands universitetssjukhus, Umeå, 13:00 (Svenska)
Opponent
Tillgänglig från: 2009-02-10 Skapad: 2009-02-10 Senast uppdaterad: 2018-06-09Bibliografiskt granskad

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Öhberg, Fredrik

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