The Nellcor™ bedside respiratory patient monitoring system, PM1000N incorporates the latest Nellcor™ digital signal processing and cardiac-based technology for accurate readings.([FOOTNOTE=Mannheimer PD, Nooshin AA et al. NellcorTM OximaxTMPulse Oximeter Accuracy, White Paper, 2006.],[ANCHOR=],[LINK=]) Because Nellcor™ pulse oximetry is closely tied to patient physiology, it drives consistent performance during various challenging conditions, such as patient movement, noise, and low perfusion which can impede the assessment of patient respiratory status. The patient monitoring system is also cleared as a motion-tolerant bedside pulse oximeter that is compliant with ISO 80601--2--61.
With its intuitive, easy-to-read, graphical user interface and state-of-the-art color touch screen, this monitoring system provides clinicians with easy access to the critical information they need for patient care. The system provides continuous SpO2, pulse rate and respiration rate monitoring, SatSeconds alarm management, and Saturation Pattern Detection (SPD) alert, so clinicians may detect respiratory complications earlier and, therefore, intervene sooner.
The Nellcor™ bedside respiratory patient monitoring system provides SpO2, pulse rate, and respiration rate monitoring through a single finger sensor as well as SatSeconds alarm management, so clinicians may detect respiratory complications earlier and, therefore, intervene sooner.
The monitor also features Saturation Pattern Detection (SPD) alert for automated, real-time detection of desaturation patterns indicative of repetitive reductions in airflow. As an institution’s needs change, the system’s highly modular software and hardware can be upgraded on-site with new features and parameters, offering long-term functionality.
The system memory stores up to 48 hours of trend data at one second intervals. Clinicians can view the data in real-time, as historical trend data in graphical and tabular views, or download the data to a USB flash drive. With both real-time and trend data, clinicians get a complete picture of patient progress and are better informed to make treatment decisions.