Related Experiment Video
Updated: Feb 13, 2026

Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation
Published on: October 11, 2024
RF Interference in Hearing Aids from Cellphones Part 2: Comparing in-use RF coupling to predictions
Stephen D Julstrom1, Linda K Kozma-Spytek2, Brian B Beard3
1Julstrom Consulting and Development.
None:
Cellphones and hearing aids are presently tested for their near-field RF emissions and RF immunity, respectively, to predict their mutual compatibility when used together. In the concluding part of this two-part series, we examine the relationship between these independent device measurements and the resultant in-use coupled RF interference, which may be heard as audio frequency noises by the hearing aid wearer. The established standards are seen to be generally reasonable in meeting the compatibility goals (i.e., ensuring a low level of perceived audio interference), but the combined effects of the relative device positioning, the hand, and especially the head add a high degree of uncertainty to the relationship between the actual in-use RF interference coupling and predictions based on individual emissions and immunity measurements.
More Related Videos
14:05Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
Published on: January 23, 2017
06:04Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
Related Concept Videos
Hearing
Predicting Products: SN1 vs. SN2
With increased substitution on the alkyl halide,...
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences
Interference and Diffraction
RNA Interference
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
Predicting Molecular Geometry