Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
MEMS BASED MULTI-MODE MULTI-CHANNEL PIEZOELECTRIC SENSOR FOR FULLY IMPLANTABLE COCHLEAR IMPLANTS
Download
index.pdf
Date
2022-9
Author
Pirim, Feyza
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
492
views
189
downloads
Cite This
This thesis presents a novel multi-mode, multi-channel piezoelectric sensor with broad bandwidth that is placed on the ossicles via an attachment system. The proposed sensor collects the vibration of the ossicles and mechanically filters the incoming sound. The finite element model of the middle ear is constructed as a starting point to examine the characteristics of the middle ear. The vibration characteristic of the ossicle chain is studied and the most suitable locations for the sensor placement are discussed. The attachment mechanism is designed. The finite element model of the middle ear and the attachment mechanism is verified with the cadaver experiments. Requirements and limitations of the sensor are presented. Thin film pulsed laser deposited PZT is selected as piezoelectric material. The proposed sensor design is composed of 4 multi-mode M-shape cantilevers together with 11 standard cantilevers. It has a volume of 4.6×4.2×0.5 mm3. Resonance frequencies of the cantilevers are tuned by using finite element methodology. The performance of the sensor is examined experimentally. It is observed that multi-mode, multi-channel sensor can fully perform at 0.1g for the interval of 300Hz and 6kHz. Acoustic performance characterization of the sensor is conducted by placing the sensor on the artificial tympanic membrane. Sensor gives peak-to-peak voltage readouts of 546.2mVpp, 252.6mVpp, and 69.7mVpp at 100dB, 90dB and 80dB respectively. An alternative multi-mode design P-shape is presented. A maximum of 120.5mVpp is recorded from the P-shape design at 0.1g. Its results are examined and compared with M-shape multi-mode design.
Subject Keywords
cochlear implants
,
MEMS
,
piezoelectric sensor
,
PLD PZT
,
multi-mode cantilever
URI
https://hdl.handle.net/11511/99582
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
MEMS resonant load cells for micro-mechanical test frames: feasibility study and optimal design
Torrents, A.; Azgın, Kıvanç; Godfrey, S. W.; Topalli, E. S.; Akın, Tayfun; Valdevit, L. (IOP Publishing, 2010-12-01)
This paper presents the design, optimization and manufacturing of a novel micro-fabricated load cell based on a double-ended tuning fork. The device geometry and operating voltages are optimized for maximum force resolution and range, subject to a number of manufacturing and electromechanical constraints. All optimizations are enabled by analytical modeling (verified by selected finite elements analyses) coupled with an efficient C++ code based on the particle swarm optimization algorithm. This assessment i...
Robot end-effector based sensor integration for tracking moving parts
Konukseven, Erhan İlhan (2000-08-31)
This paper presents a cost-efficient end-effector based infrared proximity sensor integration system and the implementation of fuzzy-logic control algorithm.
OBJECT RECOGNITION AND LOCALIZATION WITH ULTRASONIC-SCANNING
KIRAGI, H; Ersak, Aydın (1994-04-14)
In this paper an object recognition and localization system based on ultrasonic range imaging to be used in optically opaque environments is introduced. The system is especially designed for robotics applications. The ultrasonic image is acquired by scanning ultrasonic transducers in two dimensions above the area where objects are located. The features that are used for recognition and localization processes are extracted from the outermost boundaries of the objects present in the input scene. Experimental ...
Beam Steerable Traveling Wave Meander Line Antenna Using Varactor Diode for X-Band Applications
Gokalp, Nihan; Aydın Çivi, Hatice Özlem (2008-07-11)
This paper presents a novel beam steerable meander line antenna with varactor diode for X-band applications. Beam steering has been achieved by loading the arms of the meander line antenna with varactor diodes. The capacitances of the varactor diodes have been controlled by DC bias voltage. Instead of varactor diodes, RF-MEMS variable capacitances can be used to scan the beam. Since the insertion loss of MEMS capacitances are small compared to loss of varactor diodes, use of MEMS capacitors will increase th...
Thin Film PZT Acoustic Sensor for Fully Implantable Cochlear Implants
İlik, Bedirhan; Koyuncuoğlu, Aziz; Uluşan, Hasan; Chamanıan, Salar; Işık Akçakaya, Dilek; Şardan Sukas, Özlem; Külah, Haluk (2017-09-06)
This paper presents design and fabrication of a MEMS-based thin film piezoelectric transducer to be placed on an eardrum for fully-implantable cochlear implant (FICI) applications. Resonating at a specific frequency within the hearing band, the transducer senses eardrum vibration and generates the required voltage output for the stimulating circuitry. Moreover, high sensitivity of the sensor, 391.9 mV/Pa @900 Hz, decreases the required power for neural stimulation. The transducer provides highest voltage ou...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
F. Pirim, “MEMS BASED MULTI-MODE MULTI-CHANNEL PIEZOELECTRIC SENSOR FOR FULLY IMPLANTABLE COCHLEAR IMPLANTS,” M.S. - Master of Science, Middle East Technical University, 2022.