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 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.
This study was based on observations of 117 patients suffering from motor disturbances. Among them 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. To the control group 16 healthy adults was selected from our medical staff. All subjects were examined using pedobarographic equipment - Parotec System for Windows (PSW) [1]. Based on these observations several pattern solutions have been introduced. They concern gait disturbances in three distinguished neurological diseases. These findings extracted a new data from the PSW records and options and new diagnostic techniques based on the gait characteristics observation.
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.
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