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1. verificar la uniformidad y los artefactos.
1. verificar la uniformidad y los artefactos.
A proper sensor and patient positining shoule deliver a smooth, repeatable and uniform waveform with low to no artifacts. Use the examples below as a guideline.
fuentes comunes de artefactos
fuentes comunes de artefactos
🤒 Fuentes relacionadas con el paciente
🤒 Fuentes relacionadas con el paciente
Shivering or tremors (e.g., due to fever, hypothermia, Parkinsonism).
Coughing, hiccups, spontaneous movement, or posturing.
Agitation or ventilator dyssynchrony.
🛌 Fuentes relacionadas con camas y equipos
🛌 Fuentes relacionadas con camas y equipos
Bed motors (raising/lowering head/foot section).
Air mattresses/alternating pressure pumps.
Infusion pumps or syringe pumps mounted on bed rails.
Ventilator tubing movement or oscillatory modes (HFOV).
Cooling/warming blankets (circulating water or air).
🏥 Fuentes ambientales
🏥 Fuentes ambientales
Staff handling (turning, suctioning, physical exam).
Nearby equipment carts, monitors, or devices vibrating the bed frame.
Foot traffic or door slams causing floor resonance (important for highly sensitive sensors).
muy buenas formas de onda
muy buenas formas de onda
Clean, uniform waveforms with no artifacts.
They result in clean processed pulses with narrow confidence intervals.
formas de onda buenas a promedio
formas de onda buenas a promedio
Uniform waveforms with a lower quantity of artifacts
They result in acceptable processed pulses with medium confidence intervals.
formas de onda defectuosas
formas de onda defectuosas
Repeatable waveforms but with a high quantity of artifacts
They result in non ICP like processed pulses with wide confidence intervals
2. evaluar intervalos de confianza
2. evaluar intervalos de confianza
Check the confidence interval data displayed by the device.
Confidence interval represents the area where 95% of the pulses used to calculate parameters will fit. The norrower the better.
ejemplos de intervalos de confianza estrechos
ejemplos de intervalos de confianza estrechos
They indicate stable, reliable waveform data.
ejemplos de intervalos de confianza amplios
ejemplos de intervalos de confianza amplios
They suggest variability or low-quality data capture.
3. identificar para la deflexión inicial
3. identificar para la deflexión inicial
Assess for the presence of a large initial deflection before the first peak (P1).
If present, assess the P2 to P1 ratio (P2:P1) and Normalized Time-to-Peak (nTTP) values, noting that if a large initial deflection below the x-axis is present, these values can be artificially skewed low ⬇️
4. comprobar cantidad de pulsos útiles.
4. comprobar cantidad de pulsos útiles.
The percentage (%) of useful pulses also helps verify the quality of data collection.
porcentajes altos
porcentajes altos
Indicates adequate data quality for interpretation.
porcentajes más bajos
porcentajes más bajos
May require repeat measurement or repositioning of the headband.
5. revise la forma de onda
5. revise la forma de onda
Some waveforms may be clean and repeatable, however their shape is very distinct from a traditional invasive ICP waveform shape.
The processed pulses can have narrow confidence intervals but overall the shape distinct from a traditional invasive ICP waveform shape.
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