Colorado Patent of the Month – March 2024
Zynex Monitoring Solutions, Inc., patient monitoring device manufacturer, has been granted a patent for their non-invasive blood detection system. The company is set on developing the technologies needed to improve patient outcomes by providing continuous but non-invasive monitoring.
Their latest invention provides a method for detecting blood volume imbalances in mammalian subjects. This method offers a significant advancement in medical monitoring, particularly in surgical, post-operative, and trauma care settings where early detection of blood loss is critical.
At its core, the invention involves obtaining baseline physiologic value measurements from the subject over a period of time, including parameters like heart rate, electrical body impedance, skin temperature, perfusion index, peripheral blood flow, and skin humidity. These measurements serve as the basis for computing a starting value blood volume index, indicating 100% of the subject’s normal total blood volume, displayed on an electronic interface.
Once the baseline is established, real-time physiologic value measurements are obtained and compared to compute a real-time blood volume index using a specialized algorithm. This index is continuously displayed, allowing for the immediate identification of blood volume changes as low as 10% of the subject’s normal total blood volume. Such sensitivity enables early detection of hemorrhagic events, critical for timely intervention and improved patient outcomes.
This is achieved using noninvasive sensors capable of obtaining baseline and real-time physiologic measurements, such as electrodes positioned on extremities like the thigh, forearm, or ankle. These sensors communicate with integrated circuits to compute blood volume indexes, providing clinicians with real-time information to monitor and respond to potential blood volume imbalances.
What makes this invention particularly innovative is its reliance on multiple physiological parameters, including bioimpedance, heart rate, and skin temperature, to ensure reliable detection of blood volume changes. By combining these parameters and employing a sophisticated algorithm, the method achieves a level of accuracy and sensitivity that surpasses existing monitoring techniques.
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