Dragerwerk has been granted a patent for a patient monitoring device that reduces noise in a measured pulse rate signal. The device includes a pulse rate sensor, a heart rate sensor, a characteristic analyzer, a filter controller, and a parameter processor. The characteristic analyzer determines heart rate variability and the filter controller dynamically tunes an adjustable filter based on this variability to generate a reduced-noise pulse rate signal. The device also determines a predicted heart rate variability and adjusts the filter based on this prediction. GlobalData’s report on Dragerwerk gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on Dragerwerk, wearable CPAP therapy was a key innovation area identified from patents. Dragerwerk's grant share as of September 2023 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
The patent is granted for a patient monitoring device that reduces noise in a pulse rate signal
A recently granted patent (Publication Number: US11766220B2) describes a patient monitoring device designed to reduce noise in a measured pulse rate signal. The device includes a pulse rate sensor that operates in the red to infrared electromagnetic spectrum and generates a pulse rate signal based on pulse rate measurements. Additionally, an independently measured heart rate sensor, operating outside the red to infrared electromagnetic spectrum, generates a heart rate signal based on heart rate measurements.
The device also features a characteristic analyzer that determines a measured heart rate variability based on the heart rate measurements. A filter controller dynamically tunes an adjustable filter to generate a reduced-noise pulse rate signal based on the determined heart rate variability. A parameter processor provides a pulse rate output signal based on the reduced-noise pulse rate signal.
The characteristic analyzer further determines a predicted heart rate variability, a guard band based on the measured and predicted heart rate variability, and a frequency passband for the pulse rate signal based on the heart rate variability and the guard band. The adjustable filter is dynamically tuned based on the frequency passband.
The patent also includes various additional features and methods. For example, the heart rate measurements can include electrocardiogram (ECG) measurements. The characteristic analyzer can continually determine the measured heart rate variability and continually tune the adjustable filter. It can also determine the heart rate variability over successive time intervals and adjust the adjustable filter accordingly.
The frequency passband can include parameters such as a center frequency, width of a frequency envelope, lower and upper cutoff frequencies, and the shape of the frequency envelope. The device can also compute a blood oxygen saturation level (SpO2) based on the pulse rate measurements and provide a blood oxygen output.
Furthermore, the device can determine a signal quality index (SQI) by calculating a pulse rate variability (PRV) over a predetermined period and comparing it to the measured heart rate variability. It can provide a signal quality output based on the SQI.
In summary, the granted patent describes a patient monitoring device that effectively reduces noise in a measured pulse rate signal by utilizing an adjustable filter and heart rate variability analysis. The device offers various features and methods to enhance signal quality and provide accurate measurements for monitoring patients.
To know more about GlobalData’s detailed insights on Dragerwerk, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
