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Optimization of the measuring time of somatosensibel evoked corticalen potentials of the median nerve by individual determination of the number of averaging steps required for measurement by an algorithm.

Optimization of the measuring time of somatosensibel evoked corticalen potentials of the median nerve by individual determination of the number of averaging steps required for measurement by an algorithm. - SEPREP-Studie

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00013669
Enrollment
35
Registered
2018-05-04
Start date
2018-05-14
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

M51.1

Interventions

Group 1: For 35 patients receiving spinal surgery, intraoperatively is to be SEPs (Somatosensibel evoked potentials) of the N. Median

Sponsors

Klinik für Anästhesie
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Patients with indication for surgery in the field of the spine in the clinic for neurosurgery under general anesthesia are to be investigated.

Exclusion criteria

Exclusion criteria: 1. Rejection of study participation by the patient 2. Minors or non-consent-capable patients 3. Patients with central nervous disorders 4. Patients with missing knowledge of German

Design outcomes

Primary

MeasureTime frame
The MSEP are derived after achieving stable anesthesia with stable vital parameters with a different number (N) of averaging steps. First, five output measurements are performed with 200 averaging steps (n = 200), whereby the deviation of the individual measurements may not be more than 20% of the initial value. Then n is halved and averaged twice. If the curve can be reproduced (deviation of the measurements no more than 20%), N is halved again and the measurement is repeated twice until the curve can no longer be reproduced. Then n is incremented by half the distance to the last averaging number and measured again twice until the curve is reproducible. Then another three measurements are made to ensure that a deviation of less than 20% occurs even with the reduced number of N of averaging steps. If this is not the case, the averaging number is increased again to half of the distance to the last averaging and the five measurements are repeated.

Countries

Germany

Contacts

Public ContactAnn-Kristin Helmers

UKSH Kiel

ann-kristin.helmers@uksh.de0049431-5000

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026