Technical Principles II

IONM BASICS

This digital learning module is provided as a video training course.
The content is presented by a real-life instructor who explains the topics clearly and provides a practical learning experience.

This course introduces the core technical principles that highlights signal acquisition, processing, and interpretation in intraoperative neuromonitoring (IONM). It covers key concepts including differential amplification, analog-to-digital conversion, digital filtering, signal display, signal-to-noise ratio (SNR), and electrical stimulation, highlighting their importance for obtaining reliable and clinically meaningful monitoring data.

The course is designed for healthcare professionals who want to deepen their understanding of how neurophysiological signals are generated, processed, and displayed within modern IONM systems. Participants gain practical insights into signal quality, artifact reduction, and the technical factors that influence monitoring performance. Through structured learning and real-world examples, the course helps build confidence in interpreting technical signal characteristics and understanding the principles behind signal optimization.

German Version

Course content

Chapter Headings / Content

  • Differential Amplifiers and Signal Acquisition
  • Analog-to-Digital Conversion
  • Digital Software Filters
  • Signal Display and Interpretation
  • Signal-to-Noise Ratio
  • Electrical Stimulation Principles

Course details

Duration:
150 min
Location:
Online
Medical staff interested in IONM
Course language:
English
Certification:
3 CME Points

Course director

David B. MacDonald, MD, FRCPC, ABCN

Scientific Director

Arkana Forum GmbH, Germany

Participation fee

Online participation
119
plus VAT*

Were Arkana Courses recommended to you?

If you are recommended by a colleague who has already attended an Arkana Forum course, you will receive a 20% discount on the participation fee and your colleagues receive a free e-learning!

Please enter the name and e-mail address of the person who recommended Arkana Forum courses to you in the booking form.

{mitarbeiter_telefon}
{mitarbeiter_mail}
{mitarbeiter_titel_name}
{mitarbeiter_text}
{mitarbeiter_zitat}