title: A Stand-Alone EEG Monitoring System for Remote Diagnosis.
abstract: BACKGROUND
  In low-income countries with limited infrastructure, remote diagnoses are a sustainable solution to healthcare issues. Current electroencephalography (EEG) monitoring devices are very expensive and may not be feasible in rural areas. Because a seizure is nonstationary, composed of multiple frequencies, and difficult to acquire, visual and conventional frequency-based methods have limited application.
  
  
  METHODS
  One hundred healthy individuals at their best possible conscious state and 25 patients with an epileptic seizure a few hours prior to the time of recording were chosen. The recordings were carried at Shri Preethi Hospital and Nanda Engineering College, Tamilnadu, India, during the period of June 2014-December 2014. The primary objective was to differentiate the diseased from normal individuals, as well as quantifying the EEG signal and diagnosing remotely.
  
  
  RESULTS
  Using wavelet coefficients, the separation between seizure and nonseizure states was measured and compared with that of healthy individuals of different age groups. The systems performance was measured by parameters such as sensitivity, specificity, region of convergence, and precision rate.
  
  
  CONCLUSIONS
  The novelty of this article lies in the design, development, and clinical analysis of a low-cost EEG device for remote diagnosis.
authors.affiliation: 1 Department of Electronics & Communication Engineering, Nandha Engineering College , Erode, Tamilnadu, India .
authors.forename: Sadish Kumar
authors.initials: SK
authors.lastname: Thangavelu
authors.affiliation: 2 Department of Electronics & Communication Engineering, Kongu Engineering College , Erode, Tamilnadu, India .
authors.forename: Nehru
authors.initials: N
authors.lastname: Kasthuri
authors.affiliation: 3 School of Electrical Engineering, VIT University , Vellore, Tamilnadu, India .
authors.forename: Vivekanandan
authors.initials: V
authors.lastname: Sundaram
authors.affiliation: 3 School of Electrical Engineering, VIT University , Vellore, Tamilnadu, India .
authors.forename: Navneet
authors.initials: N
authors.lastname: Aravind
authors.affiliation: 3 School of Electrical Engineering, VIT University , Vellore, Tamilnadu, India .
authors.forename: Nishant
authors.initials: N
authors.lastname: Bilakanti
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D002648:Child; D004569:Electroencephalography / Q000295:instrumentation*; D004827:Epilepsy / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007194:India; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D017216:Telemedicine / Q000379:methods*; D058067:Wavelet Analysis; D055815:Young Adult
keywords: electroencephalography; epilepsy; remote diagnosis; telemedicine; wavelet