Internet of Things (IoT) brings more than an explosive proliferation of endpoints. It is disruptive in several ways. In this chapter we examine those disruptions, and propose a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing. In particular, we pay attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.

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Injury to the cranial nerves is a common accompaniment of head trauma. Incidence of cranial nerve injury in head injury varies in various published literature. Indian literature on post-traumatic cranial nerve injuries as whole is scanty. Aims of this study are to document the incidence of cranial nerve injuries in head injuries, to correlate incidence with radiological findings, to assess recovery time with respect to signs and symptoms at initial presentation and to stress the importance of clinical examination in head injured patients. We studied 794 consecutive cases of head injured patients from May 2002 to November 2004. One hundred patients were found to have cranial nerve injuries and were included in this study. Clinical examination of cranial nerves was done meticulously on a daily basis. Patients were followed up at monthly interval for a minimum of six months.

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Patients with perioperative strokes are 4 times more likely to have had transcranial Doppler changes (either MCAV or MES) during CEA compared to patients without strokes. Simultaneous MCAV and MES monitoring by transcranial Doppler sonography and combined intraoperative monitoring of transcranial Doppler sonography with somatosensory evoked potentials and electroencephalography during CEA to predict perioperative stroke could not be evaluated because of a lack of clinical studies combining these measures.