Analysis and decomposition of signals obtained by thigh-fixed uni-axial accelerometry during normal walking

The use of piezo-resistive uni-axial accelerometer signals in gait analysis is complicated by the fact that the measured signal is composed of different types of acceleration. The aim of the study is to obtain insight into the signal from a tangential accelerometer attached to the thigh during walking. Six subjects walk with three different speeds. Simultaneous measurements are performed with accelerometers, footswitches and an opto-electronic system. The components of the accelerometer signal are calculated from the opto-electronic system. A clear relationship is found between the measured and calculated accelerometer signals (range RMS: 0.76–3.69 m s−2, range rms: 0.22–0.61). The most pronounced feature is a high positive acceleration peak (> 10 m.s−2) at the end of the cycle. The gravitational acceleration during one cycle is characterised by a sinusoidal shape, whereas the inertial acceleration contains higher-frequency components (up to 20 Hz). During the major part of the gait cycle, the gravitational and inertial acceleration make opposing contributions to the signal. As a result, the gravitational acceleration influences the amplitudes of the measured acceleration signal, the shape and peaks of which are mainly determined by the inertial acceleration. Because the gravitational and inertial accelerations differ in frequency components, the application for gait analysis remains feasible.

[1]  J. Saunders,et al.  The major determinants in normal and pathological gait. , 1953, The Journal of bone and joint surgery. American volume.

[2]  A. B. Drought,et al.  WALKING PATTERNS OF NORMAL MEN. , 1964, The Journal of bone and joint surgery. American volume.

[3]  Murray Mp,et al.  Gait as a total pattern of movement. , 1967 .

[4]  M. P. Murray Gait as a total pattern of movement. , 1967, American journal of physical medicine.

[5]  J S Arora,et al.  Accelerographic analysis of several types of walking. , 1971, American Journal of Physical Medicine.

[6]  J S Arora,et al.  Accelerographic, temporal, and distance gait factors in below-knee amputees. , 1977, Physical therapy.

[7]  J P Albright,et al.  An automated accelerometry system for gait analysis. , 1977, Journal of biomechanics.

[8]  Michael W. Whittle,et al.  Gait Analysis: An Introduction , 1986 .

[9]  R.B. Davis,et al.  Clinical gait analysis , 1988, IEEE Engineering in Medicine and Biology Magazine.

[10]  H.B.K. Boom,et al.  Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation , 1990, IEEE Transactions on Biomedical Engineering.

[11]  David A. Winter,et al.  Biomechanics and Motor Control of Human Movement , 1990 .

[12]  D. Winter Biomechanics and motor control of human gait: normal, elderly and pathological - 2nd edition , 1991 .

[13]  W. J. Beek,et al.  Hemiplegic gait: a kinematic analysis using walking speed as a basis. , 1992, Journal of biomechanics.

[14]  G. Dietrich,et al.  Heel-off perturbation during gait initiation: biomechanical analysis using triaxial accelerometry and a force plate. , 1992, Journal of biomechanics.

[15]  T. Oberg,et al.  Basic gait parameters: reference data for normal subjects, 10-79 years of age. , 1993, Journal of rehabilitation research and development.

[16]  Evaluation and Management of Gait Disorders , 1994 .

[17]  H. J. de Jongh,et al.  Prosthetic gait of unilateral transfemoral amputees: a kinematic study. , 1995, Archives of physical medicine and rehabilitation.

[18]  P H Veltink,et al.  Detection of static and dynamic activities using uniaxial accelerometers. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[19]  R C Wagenaar,et al.  Effects of walking velocity on relative phase dynamics in the trunk in human walking. , 1996, Journal of biomechanics.

[20]  P. Veltink,et al.  Validity and reliability of measurements obtained with an "activity monitor" in people with and without a transtibial amputation. , 1998, Physical therapy.

[21]  J. Bussmann,et al.  Quantification of physical activities by means of ambulatory accelerometry: a validation study. , 1998, Psychophysiology.

[22]  J B Bussmann,et al.  Techniques for measurement and assessment of mobility in rehabilitation: a theoretical approach , 1998, Clinical rehabilitation.

[23]  J. Bussmann,et al.  Ambulatory accelerometry to quantify motor behaviour in patients after failed back surgery: a validation study , 1998, Pain.

[24]  Anne Elisabeth Ljunggren,et al.  Dynamic adjustments of walking behavior dependent on noxious input in experimental low back pain , 1999, PAIN®.

[25]  A. L. Evans,et al.  Measurement of gait by accelerometer and walkway: A comparison study , 1992, Medical and Biological Engineering and Computing.

[26]  A. L. Evans,et al.  Recording accelerations in body movements , 2006, Medical and Biological Engineering and Computing.

[27]  K. Aminian,et al.  Temporal feature estimation during walking using miniature accelerometers: an analysis of gait improvement after hip arthroplasty , 1999, Medical & Biological Engineering & Computing.