1st Joint ESMAC-GCMAS Meeting - Análise de Marcha

More documents

Recommendations

Info

data will have to obtain ethical approval from their own institutions to contribute data. To illustrate the potential of the GAITABASE and to test whether users in different countries would be able to contribute data, a mock cohort study of progress of children following single event multi-level surgery for children with diplegic cerebral palsy was set up. Users in USA, Europe, Australia and New Zealand were approached to contribute pre-operative and one year follow-up data. Results The GAITABASE web interface allowed the user to add, view, edit, import, and export patient’s gait data. Users from two centres in the USA, one in Europe and one in Australia contributed data of 5 CP children to the mock cohort study. The Figure below shows preoperative and follow-up data of one CP child with mean ±1SD of 10 children without pathology. Patients filter - 115 - Sessions filter Figure 1. Kinematics of CP patient pre (blue) and post (red) intervention. Grey area represents normative gait patterns. Discussion This exercise proved that the concept of the GAITABASE can work. Several of the users approached for gait data envisaged problems in obtaining ethical approval to contribute data but those who set out to obtain this were able to complete the process and release the data within two weeks. Future work on the GAITABASE will include procedures for ensuring the quality of the data stored within it. References [1] Winter DA., (1993). Knowledge base for diagnostic gait assessments. Med Prog Technol, 19(2):61-81. [2] Prince F., Corriveaua H., Héberta R., and Winter DA., (1997). Gait in the elderly. Gait & Posture, 5(2):128- 135. [3] MacWilliams BA., Cowley M., and Nicholson DE., (2003). Foot kinematics and kinetics during adolescent gait. Gait & Posture, 17(3):214-224. [4] Al-Obaidi S., Wall JC., Al-Yaqoub A., and Al-Ghanim M., (2003). Basic gait parameters: A comparison of reference data for normal subjects 20 to 29 years of age from Kuwait and Scandinavia. J Rehabil Res Dev, 40(4):361-6. [5] Berghof R. and Zwick E., (1995). Gaitbase - A relational database for the management of gait laboratory data. Gait & Posture, 3(4):291-292. [6] Schablowski M, Schweidler J, Rupp R., (2004). HeiDATAProVIT-Heidelberg data archiving, tag assembling, processing and visualization tool. Comput Methods Programs Biomed, 73(1):61-70.
O-31 A MODIFIED GAIT CLASSIFICATION SYSTEM FOR CHILDREN WITH HEMIPLEGIA Kerr Claire BSc(Hons), McCann Katherine, Kelly Conor, McDowell Brona PhD, Salazar- Torres José-de-Jesús PhD, Cosgrove Aidan MD FRCS (Orth) Gait Analysis Laboratory, Musgrave Park Hospital, Belfast, Northern Ireland Summary/Conclusions The refinement of a computerised algorithm [1] for the classification of hemiplegic gait by the addition of two criterions: reduced range of dorsiflexion in swing and absence of first rocker, resulted in the classification of 93% (78/84) of individuals. Classification of the walking patterns of an entire population of children with hemiplegia is possible using an automated system. Introduction A previous algorithm [1] based on the work of Winters and Gage [2] was unable to classify the gait pattern of 35 out of 84 children with hemiplegia. Visual observation of the unclassified gait patterns revealed minor deviations only, suggesting that the original system lacked the sensitivity to detect mild abnormalities in gait. Thus the need for refinement of the original automated system was manifest. Statement of clinical significance Automated detection of common gait abnormalities using objective parameters can be used in the clinical and research setting to assist in the classification of children’s walking patterns. This technique affords a labour-saving alternative method to visual observation when evaluating large datasets. Methods Participants/Procedure Valid 3-D kinematic data was obtained for 84 (50 male, 34 female; mean age 10.8 years, age range 5-16 years) out of 94 children with hemiplegia who participated in a population-based study of locomotor ability in cerebral palsy. Of the other 10 children, two refused to co-operate with the assessment procedure and eight had insufficient quality data for processing. Data was captured using a Vicon 612 motion capture datastation and six-camera array. Three gait trials were processed and imported into a Polygon report. A single representative gait cycle was then exported to Microsoft Excel. The original algorithm classified forty-nine children (Table 1), leaving a remaining 35 children as ‘unclassified’. The latter group was subject to the following scrutiny and subsequent analysis. Data Analysis Visual observation of the 35 ‘unclassified’ gait cycles was carried out by a physiotherapist and research assistant. Two common deviations were noted: (1) reduced range of dorsiflexion (DF) in swing and (2) absence of first rocker. On the basis of this two additional logic statements were written into the original algorithm. For computational purposes these were defined as (1) a range of DF less than 9.87degrees during swing phase, derived from the laboratory’s age-matched database of able-bodied children (n=18) and (2) the presence of a negative gradient in the sagittal DF graph over the first four captured frames. Refined/Modified Classification The original Type I algorithm (DF
Page 1 and 2:
O-01 KNEE EXTENSION AT TERMINAL SWI
Page 3 and 4:
O-02 THE MODIFIED TARDIEU IN STANDI
Page 5 and 6:
O-03 COORDINATION BETWEEN PELVIS, T
Page 7 and 8:
O-04 CAN GAIT ANALYSIS GUIDE MANAGE
Page 9 and 10: O-05 DISTAL FEMORAL EXTENTSION OSTE
Page 11 and 12: O-06 THE EFFECT OF SHOES ON GAIT IN
Page 13 and 14: O-07 CORRELATIONS BETWEEN CLINICAL
Page 15 and 16: O-08 DOUBLE CALIBRATION VS GLOBAL O
Page 17 and 18: O-09 THE SYMMETRICAL AXIS OF ROTATI
Page 19 and 20: O-10 FEASIBILITY OF A NEW -JOINT CO
Page 21 and 22: O-11 A SINGLE GAIT CYCLE AS MEASURE
Page 23 and 24: O-12 IMPROVED TRACKING OF HIP ROTAT
Page 25 and 26: O-13 PROTOCOL CHANGES CAN IMPROVE T
Page 27 and 28: O-14 ALTERNATIVE METHODS FOR MEASUR
Page 29 and 30: O-15 OVERLAY PROJECTION OF 3D GAIT
Page 31 and 32: O-16 RELATIONSHIP BETWEEN THE ANTHR
Page 33 and 34: O-17 COMPARING THE RELIABILITY OF V
Page 35 and 36: O-18 3D HIP AND PELVIC GAIT PATTERN
Page 37 and 38: O-19 RELIABILITY AND VALIDITY OF AN
Page 39 and 40: O-20 HOW ACCURATE IS THE ESTIMATION
Page 41 and 42: O-21 IMPACT OF WHEELCHAIR PROPULSIO
Page 43 and 44: O-22 TOWARDS A NEW PROTOCOL FOR MOT
Page 45 and 46: O-23 KINEMATIC ANALYSIS OF UPPER LI
Page 47 and 48: O-24 KINEMATIC UPPER LIMB ANALYSIS
Page 49 and 50: O-25 3D KINEMATICS OF UPPER EXTREMI
Page 51 and 52: O-26 CLINICALLY SIGNIFICANT SHOULDE
Page 53 and 54: O-27 OBJECTIVE IDENTIFCATION OF GAI
Page 55 and 56: - 110 - O-28 NORMALCY GAIT INDEX AN
Page 57 and 58: O-29 GILLETTE GAIT INDEX IS CONSIST
Page 59: O-30 GAITABASE: NEW APPROACH TO CLI
Page 63 and 64: O-32 QUANTIFICATION OF KINEMATIC ME
Page 65 and 66: O-33 EXTRINSIC AND INTRINSIC VARIAT
Page 67 and 68: O-34 PAIRED OUTCOME ASSESSMENT OF A
Page 69 and 70: O-35 ENERGY EXPENDITURE DURING OVER
Page 71 and 72: O-36 HIGH FAILURE RATES WHEN AVOIDI
Page 73 and 74: O-37 SUBJECT SPECIFIC HIP GEOMETRY
Page 75 and 76: O-38 BIOMECHANICAL AND METABOLIC PE
Page 77 and 78: O-39 BIOMECHANICS OF GAIT IN CHARCO
Page 79 and 80: O-40 SAGITTAL PLANE LOWER EXTREMITY
Page 81 and 82: O-41 AN EXPLORATION OF THE FUNCTION
Page 83 and 84: O-42 DYNAMIC SIMULATIONS OF SLOW, F
Page 85 and 86: O-43 AUTOMATIC IDENTIFICATION OF MU
Page 87 and 88: O-44 DYNAMIC MEASUREMENT OF GASTROC
Page 89 and 90: O-45 ASSESSING THE REGULATORY ACTIV
Page 91 and 92: O-46 ABNORMAL EMG-ACTIVITY IN PATHO
Page 93 and 94: O-47 AVERAGED EMG PROFILES IN RUNNI
Page 95 and 96: O-48 TRACKING DYNAMIC FOOT PRESSURE
Page 97 and 98: O-49 THE INFLUENCE OF FOOTWEAR SOLE
Page 99 and 100: O-50 GAIT ANALYSIS IN CHILDREN TREA
Page 101 and 102: O-51 A COMPARISON OF METHODS FOR US
Page 103 and 104: O-52 BIOMECHANICAL OPTIMIZATION OF
Page 105 and 106: O-53 EFFECT OF SENSORY-THRESHOLD EL
Page 107 and 108: O-54 THE IMPACT OF SINGLE EVENT MUL
Page 109 and 110: O-55 COMPREHENSIVE GAIT ANALYSIS OU
Page 111 and 112:
O-56 THE EFFECT OF INCLUDING S2 ROO
Page 113 and 114:
O-57 DYNAMIC FUNCTION AFTER ANTERIO
Page 115 and 116:
O-58 RECOVERY OF MUSCLE STRENGTH FO
Page 117 and 118:
O-59 AUDITORY-PACED WALKING FOLLOWI
show all

1st Joint ESMAC-GCMAS Meeting - Análise de Marcha

Create successful ePaper yourself

Delete template?

Save as template?