Augmented Intelligence‐Based Interference Pattern Analysis (<scp>AI</scp>‐<scp>IPA</scp>) in Concentric Needle Electromyography
The algorithm makes simple measurements that are readily interpreted by the electromyographer. In this respect, it augments analysis by providing quantitative data. If implemented in an "on-line" manner, it can provide guidance to the operator without adding to the procedure time or changing the recording technique. The measurements can also be included in the report to support the study's findings.
Authors
- Sanjeev D. Nandedkar (ORCID: https://orcid.org/0000-0003-3310-4386)
- Paul E. Barkhaus (ORCID: https://orcid.org/0000-0001-8268-8643)
Institutions
- Medical College of Wisconsin (US)
- Natus (United States) (US)
Publication Details
- Journal
- Muscle & Nerve
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1002/mus.28365
- Citations
- 2
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35