Title :
Design and Evaluation of a Personal Digital Assistant-based Research Platform for Cochlear Implants
Author :
Ali, Hamza ; Lobo, Arthur P. ; Loizou, Philipos C.
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
This paper discusses the design, development, features, and clinical evaluation of a personal digital assistant (PDA)-based platform for cochlear implant research. This highly versatile and portable research platform allows researchers to design and perform complex experiments with cochlear implants manufactured by Cochlear Corporation with great ease and flexibility. The research platform includes a portable processor for implementing and evaluating novel speech processing algorithms, a stimulator unit which can be used for electrical stimulation and neurophysiologic studies with animals, and a recording unit for collecting electroencephalogram/evoked potentials from human subjects. The design of the platform for real time and offline stimulation modes is discussed for electric-only and electric plus acoustic stimulation followed by results from an acute study with implant users for speech intelligibility in quiet and noisy conditions. The results are comparable with users´ clinical processor and very promising for undertaking chronic studies.
Keywords :
acoustic signal processing; cochlear implants; electroencephalography; medical signal processing; neurophysiology; notebook computers; speech intelligibility; speech processing; acoustic stimulation; clinical evaluation; cochlear implants; electrical stimulation; electroencephalogram-evoked potentials; neurophysiology; offline stimulation modes; personal digital assistant-based research platform; speech intelligibility; speech processing algorithms; Cochlear implants; Field programmable gate arrays; Personal digital assistants; Speech processing; Cochlear implant (CI); electrical stimulation; speech processing; Acoustic Stimulation; Algorithms; Cochlear Implants; Computers, Handheld; Deafness; Electric Stimulation; Humans; Prosthesis Design; Signal Processing, Computer-Assisted; Software; Speech Perception; User-Computer Interface;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2013.2262712