LowPulseStr™ Technology
LowPulseStr™ arterial oxygen saturation technology is a proprietary technology that combines time domain recognition algorithms, frequency domain recognition algorithms, and a proprietary algorithm to make integrated decisions about measurement results. It is capable of providing accurate measurements in a weakly perfused and moving state.
Since its release, LowPulseStr™ arterial oxygen saturation technology has offered a wide range of solutions for a variety of clinical applications, easy integration methods, flexible model options, complete clinical evidence and certification support, strong enough to provide partners with high quality arterial oxygen saturation devices.
LowPulseStr™ Technology一advantage
Guarantee of accuracy
Reliable clinical measurement accuracy is the basis for clinicians to accurately assess the patient's blood oxygen status. LowPulseStr™ arterial oxygen saturation technology has been clinically tested by the International Hypoxia Laboratory (HLSZU) and clinical reports approved by FDA, CE and NMPA have been obtained.
The clinical study was performed on healthy adult volunteers who were subjected to an induced hypoxia test and obtained arterial blood samples to obtain a series of stable phases of oxygen saturation. Arterial blood samples were drawn at regular intervals using an arterial catheter and analyzed using the CO-oximeter, and the SaO2 derived from the analysis was used as a control group, and the pulse oximetry saturation (SpO2) of the test group was compared with the arterial oxygen saturation (SaO2) of the control group, and the statistical analysis of the SpO2-SaO2 data set was completed using statistical analysis to obtain a clinically accepted clinical study report. As the following figure shows.
The clinical study was performed on healthy adult volunteers who were subjected to an induced hypoxia test and obtained arterial blood samples to obtain a series of stable phases of oxygen saturation. Arterial blood samples were drawn at regular intervals using an arterial catheter and analyzed using the CO-oximeter, and the SaO2 derived from the analysis was used as a control group, and the pulse oximetry saturation (SpO2) of the test group was compared with the arterial oxygen saturation (SaO2) of the control group, and the statistical analysis of the SpO2-SaO2 data set was completed using statistical analysis to obtain a clinically accepted clinical study report. As the following figure shows.
Multi-computing engine, anti-interference technology
LowPulseStr™ arterial oxygen saturation technology includes three calculation engines: time domain calculation, frequency domain calculation, and decision calculation. The time-domain algorithm has the characteristics of fast and real-time, which can quickly calculate the blood oxygen measurement results in various monitoring environments and provide medical personnel with fast and accurate pulse oximetry reference as the goal; the frequency domain algorithm has the characteristics of anti-interference capability, which can provide reliable measurement results in complex environments, such as emergency and neonatal monitoring environments, excluding interference as much as possible, and provide medical personnel with accurate judgment of patient status in complex environments It provides strong support for healthcare professionals to make accurate judgments on patient status in complex environments.
Widely Application
LowPulseStr® adopts wide range measurement technology, which makes the measurement technology in different people and different conditions of blood oxygen measurability has been greatly improved. With multi-position gain adjustment, it can quickly match the signal range after entering the blood oxygen measurement state, and adjust the signal in the best detection state by switching the gain through multi-channel switch, which can quickly adapt to different patient types and different people. For example, it is widely used in the newborn population, light-skinned people, yellow-skinned people, and dark-skinned people and different measurement sites, such as forehead, earlobe, nose, fingers, toes, etc. It provides diversity for clinical measurement and meets the measurement needs of various clinical scenarios.
LowPulseStr™ Technology
As shown in the figure 1 below, the single time domain algorithm and LowPulseStr™ technology were compared clinically. Under various patient movement conditions, the single time domain algorithm false alarm rate was around 30%, while the false alarm rate reached around 10% using the LowPulseStr™ algorithm, a reduction of more than 20%.
Newborns are very careful in blood oxygen monitoring, because the newborn's skin is thin and light can easily penetrate and lead to signal saturation and thus cannot be measured.LowPulseStr™ has superior performance compared to the original technology in neonatal applications. The original technology has a probability of failure or measurement error of about 10% after clinical feedback, while the probability of failure to measure LowPulseStr™ for neonatal applications is reduced to 1%.
Newborns are very careful in blood oxygen monitoring, because the newborn's skin is thin and light can easily penetrate and lead to signal saturation and thus cannot be measured.LowPulseStr™ has superior performance compared to the original technology in neonatal applications. The original technology has a probability of failure or measurement error of about 10% after clinical feedback, while the probability of failure to measure LowPulseStr™ for neonatal applications is reduced to 1%.
From the picture 3 for dark skin patients, stronger light intensity is required to ensure measurement, especially for dark skin patients with weak pulses, which are more susceptible to interference. According to clinical studies, the original technology had a false alarm rate of about 13% for dark-skinned patients, while LowPulseStr™ technology has reduced the false alarm rate to about 2.5% for dark-skinned patients, greatly improving clinical usability.
The normal human perfusion index is above 3%, and when the perfusion index is substantially reduced, the pulsation is very weak. Removing noise artifacts is critical for the oximeter to accurately assess SpO2 in low perfusion situations. lowPulseStr™ signal processing technology uses adaptive filtering to remove noise from weak or low perfusion signals, providing reliable and accurate readings so that weak perfusion measurements can reach 0.05%.
The normal human perfusion index is above 3%, and when the perfusion index is substantially reduced, the pulsation is very weak. Removing noise artifacts is critical for the oximeter to accurately assess SpO2 in low perfusion situations. lowPulseStr™ signal processing technology uses adaptive filtering to remove noise from weak or low perfusion signals, providing reliable and accurate readings so that weak perfusion measurements can reach 0.05%.
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