Quantification of the segmental kinematics of spontaneous infant movements

Karch, Dominik; Kim, Keun-Sun; Wochner, Katarzyna; Pietz, Joachim; Dickhaus, Hartmut; Philippi, Heike

doi:10.1016/j.jbiomech.2008.06.033

Cited by 51 publications

(43 citation statements)

References 30 publications

(29 reference statements)

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“…For example, use of inertial sensors or electromagnetic tracking devices (EMT) has been proposed (Saber-Sheikh et al, 2010;Karch et al, 2008). Although performance in the laboratory has been shown to be good (SaberSheikh et al, 2010), both methods have their problems.…”

Section: Introductionsupporting

confidence: 82%

Design and validation of surface-marker clusters for the quantification of joint rotations in general movements in early infancy

Berthouze¹,

Mayston²

2011

Journal of Biomechanics

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Section: Introductionsupporting

confidence: 82%

Design and validation of surface-marker clusters for the quantification of joint rotations in general movements in early infancy

Berthouze¹,

Mayston²

2011

Journal of Biomechanics

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“…Four sensors each were attached to the arm and the leg as described in [Karch et al, 2008] (see Fig. 2).…”

Section: Methodsmentioning

confidence: 99%

“…eir small sensors render possible applications like the analysis of infant movements [Karch et al, 2008]. One movement sensor can measure 6 degrees of freedom ( ) which enables the direct tracking of the orientation of an object.…”

Section: Introductionmentioning

confidence: 99%

Compensation of large motion sensor displacements during long recordings of limb movements

Karch

Kim

Wochner

et al. 2010

Journal of Biomechanics

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In motion capture applications using electromagnetic tracking systems the process of anatomical calibration associates the technical frames of sensors attached to the skin with the human anatomy. Joint centers and axes are determined relative to these frames. A change of orientation of the sensor relative to the skin renders this calibration faulty. is sensitivity regarding sensor displacement can turn out to be a serious problem with movement recordings of several minutes duration. We propose the "dislocation distance" as a novel method to quantify sensor displacement and to detect gradual and sudden changes of sensor orientation. Furthermore a method to de ne a so called xed technical frame is proposed as a robust reference frame which can adapt to a new sensor orientation on the skin. e proposed methods are applied to quantify the effects of sensor displacement of 120 upper and lower limb movement recordings of newborns revealing the need for a method to compensate for sensor displacement. e reliability of the xed technical frame is quanti ed and it is shown that trend and dispersion of the dislocation distance can be significantly reduced. A working example illustrates the consequences of sensor displacement on derived angle time series and how they are avoided using the xed technical frame.

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“…ese angle time-series constitute the degrees of freedom of the model (according to [14,15,16]). At the age of 24 months the infants attended a follow-up examination in order to determine if they had developed .…”

Section: Patientsmentioning

confidence: 99%

Kinematic assessment of stereotypy in spontaneous movements in infants

et al. 2012

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Movement variation constitutes a crucial feature of infant motor development. Reduced variation of spontaneous infant movements, i.e. stereotyped movements, may indicate severe neurological de cit at an early stage. Hitherto evaluation of movement variation has been mainly restricted to subjective assessment based on observation. is article introduces a method for quantitative assessment yielding an objective de nition of stereotyped movements which may be used for the prognosis of neurological de cits such as cerebral palsy ( ).Movements of 3-months-old infants were recorded with an electromagnetic tracking system facilitating the analysis of joint angles of the upper and lower limb. A stereotypy score based on dynamic time warping has been developed describing movements which are self-similar in multiple degrees of freedom. For clinical evaluation, this measure was calculated in a group of infants at risk for neurological disorders (n=54) and a control group of typically developing children (n=21) on the basis of spontaneous movements at the age of three months. e stereotypy score was related to outcome at the age of 24 months in terms of (n=10) or no-(n=53). Using the stereotypy score of upper limb movements cases could be identi ed with a sensitivity of 90% and a speci city of 96%. e corresponding score of the leg movements did not allow for valid discrimination of the groups. e presented stereotypy feature is a promising candidate for a marker that may be used as a simple and noninvasive quantitative measure in the prediction of . e method can be adopted for the assessment of infant movement variation in research and clinical applications.

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Quantification of the segmental kinematics of spontaneous infant movements

Cited by 51 publications

References 30 publications

Design and validation of surface-marker clusters for the quantification of joint rotations in general movements in early infancy

Design and validation of surface-marker clusters for the quantification of joint rotations in general movements in early infancy

Compensation of large motion sensor displacements during long recordings of limb movements

Kinematic assessment of stereotypy in spontaneous movements in infants

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