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.
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 was based on 27 patients' motor gait disturbances analysis using their pedobarographic records, affected by neurological diseases - hemiparesis or sciatic neuralgia. The evidence comparison concerns the data records collected before and after the rehabilitation processes. The essential conclusions explain a walk characteristics analysis explaining the neurological status of the patient and how to implement the PSW [2, 3] options in clinical practice. This approach can also be used for medical jurisdiction processes as a unique tool for the disease evidence making.
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