Diagnosis of alzheimer's disease using slowness and coherence of EEG signals

By: Material type: TextTextPublication details: Islamabad (unpublished) 2017Description: xiii, 85 p. : ill. ; 29 cm. +CDSubject(s): DDC classification:
  • 616.831005 HAM
Dissertation note: Thesis (MS)--Riphah Internatinational University, 2017
List(s) this item appears in: FEAS & DBS Thesis I-14 Campus
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis Main Campus 616.831005 HAM (Browse shelf(Opens below)) 1 NOT for LOAN 28681

Submitted in the fulfillment of the requirements of the degree for Masters of Science to the Faculty of Engineering and Applied Sciences.

Includes bibliographical references

Thesis supervisor: Dr. Muhammad Shafique

Thesis (MS)--Riphah Internatinational University, 2017

English

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