IoT Enabled Smart Washroom

[1] N. Brown, P. L. Purdon, and C. J. Van Dort, “General anesthesia and altered states of arousal: A systems neuroscience analysis,”
Annu. Rev. Neurosci., vol. 34, no. 1, pp. 601–628, Jul. 2011
[2] A. Fritz et al., “Intraoperative electroencephalogram suppression predicts postoperative delirium,” Anesthesia Analgesia, vol. 122,
no. 1, p. 234, 2016.
[3] P. L. Purdon et al., “Electroencephalogram signatures of loss and recovery of consciousness from propofol,” Proc. Nat. Acad. Sci.
USA, vol. 110, no. 12, pp. E1142–E1151, 2013.
[4] S. Chakravarty et al., “Closed-loop control of anesthetic state in non-human primates,” bioRxiv, 2021, doi:
10.1101/2021.09.12.459958.
[5] N. Sessler et al., “The Richmond agitation–sedation scale: Validity and reliability in adult intensive care unit patients,” Amer. J.
Respiratory Crit. Care Med., vol. 166, no. 10, pp. 1338–1344, 2002.
[6] T. A. Bowdle, “Depth of anesthesia monitoring,” Anesthesiol. Clinics North Amer., vol. 24, no. 4, pp. 793–822, 2006.
[7] X.-S. Zhang, R. J. Roy, and E. W. Jensen, “EEG complexity as a measure of depth of anesthesia for patients,” IEEE Trans. Biomed.
Eng., vol. 48, no. 12, pp. 1424–1433, Dec. 2001.
[8] L. da Silva, “EEG and MEG: Relevance to neuroscience,” Neuron, vol. 80, no. 5, pp. 1112–1128, 2013.
[9] O. Akeju et al., “Electroencephalogram signatures of ketamine anesthesia-induced unconsciousness,” Clin. Neurophysiol., vol. 127,
no. 6, pp. 2414–2422, Jun. 2016.
[10] W. Shin et al., “Monitoring of anesthetic depth and EEG band power using phase lag entropy during propofol anesthesia,” BMC
Anesthesiol., vol. 20, no. 1, pp. 1–10, Dec. 2020.