The PDA project
The main aim of this project, funded by NIDCD/NIH, is to develop a research interface platform which can be used by researchers interested in exploring new ideas to improve cochlear implant devices. This research platform includes a stimulator unit which can be used for electrical stimulation in animal studies and a portable processor for implementing and evaluating novel speech processing algorithms after long-term use. The research platform chosen for this project is the personal digital assistant (PDA). The PDA was chosen for several reasons: (1) it is equipped with a variety of input/output ports needed to interface externally with either the recording or stimulating units, (2) it possesses powerful computing capability (some PDAs run as fast as 624 MHz) needed to implement complex speech processing algorithms, (3) it is flexible in as far as being able to program in either assembly language, C language or LabVIEW (can also be interfaced with MATLAB). The PDA environment makes it easy for researchers to explore and test new speech coding algorithms without being constrained or limited by the proprietary nature of commercially-available implant speech processors. The PDA speech processor was recently approved by FDA for clinical studies with Nucleus cochlear implant patients. For a description of the PDA processor, see the following video of our first cochlear implant user tested: http://www.youtube.com/watch?v=0p4odUg3NXg
News Release from KERA news: "Smartphone App Opens New World Of Hearing " [pdf]
Quarterly progress reports to the National Institutes of Health (contract N01-DC-6-0002)
|QPR1||Filter implementation on the PDA and real-time LabVIEW implementation of a noise-band vocoder||April 1, 2006-June 30, 2006||qpr1.pdf|
|QPR2||EEG recording on the PDA and real-time LabVIEW implementation of a noise-band vocoder||July 1, 2006-Sept 30, 2006||qpr2.pdf|
|QPR3||C implementation of 16-channel noiseband vocoder, wireless approach||Oct 2006- Dec 2006||qpr3.pdf|
|QPR4||Cortical auditory evoked potential (CAEP) recordings on the PDA||Jan 1, 2007 - March 30, 2007||qpr4.pdf|
|QPR5||Interface board development for Freedom cochlear implant, single-channel stimulator for animal studies and post-processing of CAEPs||April 1, 2007 - June 30, 2007||
|QPR6||ACE implementation, modifications to the SDIO interface board||July 1, 2007 - September 30, 2007||qpr6.pdf|
|QPR7||Design of 8-channel stimulator for animal studies, SDIO board (v. 2)||October 1, 2007 - December 31 2007||qpr7.pdf|
|QPR8||Testing signal acquisition circuit of SDIO board (v. 2), improvements to filtering||January 1, 2008 - March 31 2008||qp8.pdf|
|QPR9||Final PDA prototype, beamforming implementation for bilateral studies, FFT code optimization||April 1, 2008 - June 30, 2008||qpr9.pdf|
|QPR10||Testing of 8-channel stimulator for animal studies, evaluation of beamforming implementation with NH listeners, high-rate implementation mode for Freedom CI24RE implant||July 1, 2008 - September 30, 2008||qpr10.pdf|
|QPR11||Hardware testing of revised SDIO board (v.3), integration of LabVIEW code with SDIO board||October 1, 2008 - December 31, 2008||qpr11.pdf|
|QPR12||MATLAB-to-PDA Winsock Interface||January 1, 2009 - March 30, 2009||qpr12.pdf|
|QPR13||Refinements of bench stimulator for animal studies, real-time wavelet implementation of ACE||April 1, 2009 - June 30, 2009||qpr13.pdf|
|QPR14||Bench-top stimulator and portable stimulator for animal studies||July 1, 2009 - September 30, 2009||qpr14.pdf|
|QPR15||Implementation of protocol used in Nucleus 22 device||Oct 1, 2009 - December 31, 2009||qpr15.pdf|
|FINAL REPORT||Final Report||final report.pdf|
Ali, H., Lobo, A. and Loizou, P. (2011). "A PDA Platform for Offline Processing and Streaming of Stimuli for Cochlear Implant Research," Proc. IEEE Eng. Med. Biol. Soc. Conference, Boston, MA. [pdf]
Kim, D., Gopalakrishna, V., Guo, S., Lee, H.,Torlak, M., Kehtarnavaz, N., Lobo, A. and Loizou, P. (2011). "On the design of a flexible stimulator for animal studies in auditory prostheses," Biomedical Signal Processing and Control, (in press).[pdf]
Gopalakrishna, V., Kehtarnavaz, V. and Loizou, P. (2010). "A Recursive Wavelet-Based Strategy for Real-Time Cochlear Implant Speech Processing on PDA Platforms," IEEE Trans. Biomedical Engineering, 57(8), 2053-2063. [pdf]
D. Kim, V.Gopalakrishna, S. Guo, H. Lee, M. Torlak, N. Kehtarnavaz, A. Lobo, and P. Loizou (2009). On the Design of a Flexible Stimulator for Animal Studies in Auditory Prostheses, Proc. 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, Nov 24-27, Bratislava, Slovak Republic.
V. Gopalakrishna, N. Kehtarnavaz, and P. Loizou (2009). “Real-time PDA-based recursive Fourier transform implementation for cochlear implant applications,” Proc. IEEE Conference on Acoustics, Speech and Signal Processing, 1333 – 1336.
S. Guo, H. Lee and P. Loizou (2008) “A 9-bit configurable current source with enhanced output resistance for cochlear stimulators,” IEEE Custom Integrated Circuits Conference, San Jose, CA, Sep. 2008.
Ramachandran, R. and Loizou, P. (2007). “Real-time pitch detection on the PDA for cochlear implant applications,” IEEE Dallas Engineering in Medicine and Biology Workshop, November 11-12, 2007.
Peddigari, V., Kehtarnavaz, N. and Loizou, P. (2007). “Real-time LabVIEW implementation of cochlear implant signal processing on PDA platforms,” Proc. IEEE Intern. Conf. Signal, Acoust. Speech Proc, Honolulu, Hawaii.
Lobo, A., Loizou, P., Kehtarnavaz, N., Torlak, M., Lee, H., Sharma, A. Gilley, P., Peddigari, V. and Ramanna, L. (2007). “A PDA-based research platform for cochlear implants,” to appear in 3rd International EMBS Conference on Neuroengineering, Hawaii, May 2007.
Lobo, A., Loizou, P., Kehtarnavaz, N., Torlak, M., Lee, H., Sharma, A. Gilley, P., Peddigari, V. and Ramanna, L. (2007). “A portable research platform for cochlear implants,” Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, CA, July 15-July 20.
National Instruments, Developing a Portable, Real-Time Platform for Cochlear Implant Studies Based on NI LabVIEW Software