We found direct relationship between renal artery IR and cerebral IP common carotid artery values. Furthermore, these two data showed a direct relationship with Fazekas scale; by the other side, there was no correlation between Fazekas scale and MS.
ConclusionResults show correlation between abnormalities of systemic arteries and WMH, demonstrating that MVD can be part of a systemic disease. Since we found a relationship between renal IR, cerebral IP and MH; high renal resistance can be used as a biological marker of global increased vascular resistance in order to prevent MV brain damage.
Driver drowsiness and fatigue has become a major problem all over the world. This has increased the number of accidents and has contributed to a hike in the death rate. Considering this as a serious problem, the need for driver drowsiness detection system is highly necessary. It can be detected using various methods which includes IoT, various sensors for monitoring health conditions, real-time detection using camera to keep tracking the physical conditions of driver etc. Also it should be made cheap so that it is accessible to everyone. The cost of the system depends on the idea of implementation and the method being used.
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