Key Points
- To provide an updated overview of technological advancements in pulse oximetry, including dyshemoglobin detection, signal processing, and their overall impact on patient clinical outcomes.
- Reviewed advancements in multiwavelength pulse oximetry systems capable of identifying abnormal hemoglobin species.
- Evaluated the integration of modern signal processing algorithms and reflectance sensor technology under challenging physiological states such as low perfusion and patient motion.
- Synthesized available clinical outcome data evaluating the effectiveness of routine pulse oximetry monitoring in critical care settings.
- Multiwavelength pulse oximeters successfully expand diagnostic capability by detecting abnormal forms of hemoglobin (dyshemoglobins) that standard dual-wavelength devices miss.
- Advanced signal processing techniques and reflectance sensor designs substantially reduce measurement errors and signal loss caused by patient movement and reduced blood flow.
Structured PICO
PPopulationPatients in the critical care setting
IInterventionPulse oximetry (including multiwavelength pulse oximeters, signal processing techniques, and reflectance technology)
This review summarizes advancements in pulse oximetry technology, including multiwavelength detection and improved signal processing during motion and low perfusion, and discusses their impact on patient outcomes in critical care.