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3 Journal of Medical Informatics & Technologies

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Gait disturbances recognition for some orthopaedic and neurological diseases diagnosis

Piecha J.

Journal of Medical Informatics & Technologies

2007

Vol. 11

27--38

The study was based on many experiments of gait characteristics analysis, finally on observations of 117 patients suffering from motor disturbances. Among them were 42 cases with hemiparetic syndrome, mostly after cerebral stroke, 52 cases affected by acute sciatic neuralgia and 23 patients with recognition of Parkinson - disease symptoms. The control group was 16 healthy adults selected from medical staff - examined by pedobarographic equipment - PSW [4]. Based on these observations several classification proposals have been introduced. The majority of works concern gait disturbances investigations for three remarkable neurological diseases. They provide us with new diagnostic techniques based on some gait measures implementation.

The interference spectrum extraction of a gait characteristics data record

Chandzlik S., Piecha J.

Journal of Medical Informatics & Technologies

2004

Vol. 7

KB23--32

The paper shows several aspects of the gait data record analysis describing neurological diseases. The diagnosis of the gait abnormalities concerns interferences level of the patient physiological records. The disease source and level can be classified by the relevant interference functions. These functions were used for artificial records creation to multiply the necessary set of data needed for neural network training.

Parkinson disease examination using walk disturbances characteristics

Zbrojkiewicz J. S., Piecha J.

Journal of Medical Informatics & Technologies

2002

Vol. 3

MI135--142

This study is based on clinical observations of patient motor-disturbances, measured by PSW (Parotec System for Windows) pedobarographic recorder [1]. The gait regular asymmetry in a data spectrum has been noticed as an independent factor from disease duration and severity. In majority of analysed cases a gravity centre of the body moves towards a left limb, into a heel region. A trajectory of foot gravity centre elongation, its irregularity, a floor-contact time and impulse values increase is also visible. Predominantly on more affected limb. These diagnosis factors allow concluding that the PSW recorder could successfully be used for recognition and quantification of the motor disturbances, illustrating the Parkinson disease progress.