Exploring DNS, HTTP, and ICMP Response Time Computations on Brain Signal/Image Databases using a Packet Sniffer Tool

• Published in: IEEE access Vol. 6; pp. 59672 - 59678
• Main Authors: Elamaran, V., Arunkumar, N., Venkat Babu, G., Balaji, V.S., Gomez, Jorge, Figueroa, Cristhian, Ramirez-Gonzalez, Gustavo
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Biomedical engineering; Biomedical materials; Brain; Brain signal/image; DNS; Domain names; Electroencephalography; HTTP; ICMP; IP networks; Medical imaging; packet sniffer; Physiology; Protocol (computers); Protocols; Prototyping; Response time (computers); Servers; Signal processing; Time factors; Wireshark
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2018.2870557

Neurological signal processing is of significance not only the physiologist doing research and the clinician investigating patients but also to the biomedical engineer who is needed to collect, process, and interpret the physiological signals by prototyping systems and algorithms for their manipulations. While it is a fact that there does hold immense stuff (material) on the subject of digital neurological signal processing, however, it is dispersed in various scientific, technological, and physiological journals, databases also in various international conference proceedings. Consequently, it is a quite hard, more time-consuming, and often tiresome job, especially to the stranger to the domain. Hence, this study concentrates on how much time would require to access the databases belong to the brain signal/image collections, neurological signals, etc. The sixteen US-based Servers, ten UK-based Servers, and the five Servers from other countries are included in this study. Mainly, the domain name system, hyper text transfer protocol, and the Internet control message protocol query/response times are analyzed using a popular packet sniffer called Wireshark.