An electroacoustic recording device for wireless sensing of neural signals

Hua Meng, Mesut Sahin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Elimination of wires connecting neural recording electrodes to external electronics is highly desired, particularly in survival animal studies, due to neural damage and the device failures caused by these wires. In this study, an electroacoustic device for sensing and wireless transmission of neural signals to an external unit is proposed and results from a prototype are presented. In this method, the neural signals modulate the acoustic pulse amplitudes generated by a small piezoelectric element that is implanted at the recording site. The acoustics waves are detected wirelessly outside the nervous system by another piezoelectric transducer and the neural signals are extracted by amplitude demodulation. To test the prototype, a sinusoidal signal with 100μVpp amplitude was applied in phosphate buffered saline to simulated neural signals and the external transducer was placed 10mm away from the recording element. The results show that a sinusoidal signal of the given amplitude could be wirelessly sensed and reconstructed with a signal-to-noise ratio of 14dB.

Original languageEnglish (US)
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages3086-3088
Number of pages3
DOIs
StatePublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: Jul 3 2013Jul 7 2013

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/TerritoryJapan
CityOsaka
Period7/3/137/7/13

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Keywords

  • neural recording
  • remote sensing
  • ultrasound

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