The Standard Deviation of Differential Index as an innovation diagnostic tool based on kinematic parameters for objective assessment of a upper limb motion pathology.

PURPOSE Indexing methods are very popular in terms of determining the degree of disability associated with motor dysfunctions. Currently, indexing methods dedicated to the upper limbs are not very popular, probably due to difficulties in their interpretation. This work presents the calculation algorithm of new SDDI index and the attempt is made to determine the level of physical dysfunction along with description of its kind, based on the interpretation of the calculation results of SDDI and PULMI indices. METHODS 23 healthy people (10 women and 13 men), which constituted a reference group, and a group of 3 people with mobility impairments participated in the tests. In order to examine possibilities of the utilization of the SDDI index the participants had to repetitively perform two selected rehabilitation movements of upper extremities. During the tests the kinematic value was registered using inertial motion analysis system MVN BIOMECH. RESULTS The results of the test were collected in waveforms of 9 anatomical angles in 4 joints of upper extremities. Then, SDDI and PULMI indices were calculated for each person with mobility impairments. Next, the analysis was performed to check which abnormalities in upper extremity motion can influence the value of both indexes and interpretation of those indexes was shown. CONCLUSION Joint analysis of the both indices provides information on whether the patient has correctly performed the set sequence of movement and enables the determination of possible irregularities in the performance of movement given.

[1]  H. Bruyninckx,et al.  Three-dimensional upper limb movement characteristics in children with hemiplegic cerebral palsy and typically developing children. , 2011, Research in developmental disabilities.

[2]  Paweł Bartuzi,et al.  Influence of upper extremity position on EMG signal measures calculated in time, frequency and time-frequency domains. , 2013, Acta of bioengineering and biomechanics.

[3]  Edmund Wittbrodt,et al.  Analysis of muscles' behaviour. Part II. The computational model of muscles' group acting on the elbow joint. , 2010, Acta of bioengineering and biomechanics.

[4]  Kaat Desloovere,et al.  The Arm Profile Score: A new summary index to assess upper limb movement pathology. , 2011, Gait & posture.

[5]  Dorota Sienkiewicz,et al.  Skale funkcjonalne stosowane u dzieci z mózgowym porażeniemdziecięcym , 2009 .

[6]  Michael H Schwartz,et al.  The GDI-Kinetic: a new index for quantifying kinetic deviations from normal gait. , 2011, Gait & posture.

[7]  Ewa Gajewska Nowe definicje i skale funkcjonalne stosowane w mózgowym porażeniudziecięcym , 2009 .

[8]  Robert Michnik,et al.  The Upper Limb Motion Deviation Index: A new comprehensive index of upper limb motion pathology. , 2017, Acta of bioengineering and biomechanics.

[9]  L. Schutte,et al.  An index for quantifying deviations from normal gait. , 2000, Gait & posture.

[10]  L. Ada,et al.  Constraint-induced movement therapy improves upper limb activity and participation in hemiplegic cerebral palsy: a systematic review. , 2016, Journal of physiotherapy.

[11]  Robert Michnik,et al.  Determination of Loads in the Joints of the Upper Limb During Activities of Daily Living , 2016, ITIB.

[12]  Amy L Ladd,et al.  Temporal-spatial parameters of the upper limb during a Reach & Grasp Cycle for children. , 2009, Gait & posture.

[13]  Jessica Rose,et al.  The pediatric upper limb motion index and a temporal-spatial logistic regression: quantitative analysis of upper limb movement disorders during the Reach & Grasp Cycle. , 2012, Journal of biomechanics.

[14]  Robert Michnik,et al.  The influence of frequency of visual disorders on stabilographic parameters. , 2016, Acta of bioengineering and biomechanics.

[15]  Emiel van Trijffel,et al.  Inter-rater reliability for measurement of passive physiological range of motion of upper extremity joints is better if instruments are used: a systematic review. , 2010, Journal of physiotherapy.

[16]  Robert Michnik,et al.  Interactive System of Enginering Support of Upper Limb Diagnosis , 2017 .