Neuropathic pain is result of damage or dysfunction of periphery or central nervous system. There is no adequate adaptation and produce suffering without biological helpfulness. The aim of treatment of patient with neuropathic pain is soothing of pain and suffering and prevention of further development of pathological process. Periphery mechanisms of neuropathic pain include hyperexcitability of cell membrane and periphery sensibilization. Central mechanism includes central sensibilization, central reorganization of alphabeta fibers and loss of inhibition mechanisms. The main symptoms of neuropathic pain are described as lancinating, stabbing, or shooting pain. Hyperalgesia and allodynia are special kind of neuropathic pain that is provoked by mechanic or thermal stimuli. Mononeuropathy, plexopathy, radiculopathy, and myelopathy, lesions of thymus, cortex or brain stem are real cause of neuropathic pain. In the treatment of neuropathic pain drug such as opioid, nonsteroid antirheumatics, analgetics, tricyclic antidepressant and antiepileptic are used. The most successful treatment is with antiepileptic drugs of second generation. Carbamazepin was the drug of choice till ten years ago. Since then the leader position in treatment has belong to gabapentin in dose from 900-2400 mg daily. Currently the new drug is tested, antiepileptic pregabaline. The first experiences are promising.

This paper is focused on the space and temporal variability of soil moisture experimental data acquired at a few locations near landmine fields in the Tuzla Canton, as well as on the quantification of the statistical nature of soil moisture data on a small spatial scale. Measurements of soil water content at the surface were performed by an electro-magnetic sensor over 1 25, and 100 m2 grids, at intervals of 0.2, 0.5, and 1 m, respectively. The sampling of soil moisture at different spatial resolutions and over different grid sizes has been investigated in order to achieve the quantification of the statistical nature of soil moisture distribution. The statistical characterization of spatial variability was performed through variogram and correlogram analysis of measurement results. The temporal variability of the said samples was examined over a two-season period. For both sampling periods, the spatial correlation length is about 1 to 2 m, respectively, or less. Thus, sampling should be done on a larger spatial scale, in order to capture the variability of the investigated areas. Since the characteristics of many landmine sensors depend on soil moisture, the results of this study could form a useful data base for multisensor landmine detection systems with a promising performance.