Self-Learning and Non-Invasive Bladder Monitoring Systems and Methods
US-2024081708-A1 · Mar 14, 2024 · US
US9462979B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9462979-B2 |
| Application number | US-201414273764-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 9, 2014 |
| Priority date | Dec 6, 2013 |
| Publication date | Oct 11, 2016 |
| Grant date | Oct 11, 2016 |
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Systems, methods, apparatuses, and software for measuring and determining physiological parameters of a patient are presented. In one example, a physiological measurement system includes a physiological sensor system configured to detect a physiological signal representative of one or more physiological parameters associated with a patient. The measurement system also includes a capacitance system configured to apply one or more electric field signals to the patient and determine a capacitance signal. The measurement system also includes a processing system configured to reduce a noise level in the physiological signal based on at least the capacitance signal.
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What is claimed is: 1. A physiological measurement system, comprising: a physiological sensor system configured to detect a physiological signal representative of one or more physiological parameters associated with a patient; a capacitance system configured to apply one or more electric field signals to the patient to determine a capacitance signal; and a processing system configured to reduce a noise level in the physiological signal by at least activating measurement of the one or more physiological parameters based on at least a capacitance level associated with the capacitance signal. 2. The measurement system of claim 1 , comprising: the processing system configured to use the capacitance signal to correct for at least motion artifacts in the physiological signal. 3. The measurement system of claim 1 , wherein the physiological sensor system comprises an optical system configured to emit one or more optical signals into tissue of the patient, and detect the one or more optical signals after propagation through the tissue; and comprising: the processing system configured to process the one or more detected optical signals to determine an optical plethysmograph, and process the optical plethysmograph based at least in part on the capacitance signal to determine an adjusted plethysmograph having a reduced noise level; and the processing system configured to determine a physiological parameter based on the adjusted plethysmograph. 4. The measurement system of claim 1 , comprising: the processing system configured to process the capacitance signal to determine at least one noise component in the capacitance signal; the processing system configured to reduce at least one noise component in the physiological signal using the at least one noise component in the capacitance signal. 5. The measurement system of claim 1 , comprising: the processing system configured to process the capacitance signal to determine a noise level in the capacitance signal caused by motion of tissue of the patient; the processing system configured to assign the physiological signal a first processing weight when the noise level exceeds a noise threshold, and assign the physiological signal a second processing weight when the noise level does not exceed the noise threshold. 6. The processing system of claim 1 , comprising: the processing system configured to process the capacitance signal to identify a motion signal associated with motion of tissue of the patient; and when the motion signal indicates that the motion of the tissue of the patient exceeds a motion threshold, the processing system is configured to instruct the measurement system to activate a motion alert of the measurement system. 7. The measurement system of claim 1 , comprising: the capacitance system configured to detect the capacitance signal using at least one capacitive plate positioned in proximity to tissue of the patient. 8. The measurement system of claim 1 , wherein the one or more electric field signals comprise one or more modulated electric signals applied to one or more capacitor plates positioned in proximity to tissue of the patient. 9. The measurement system of claim 1 , wherein the physiological sensor system comprises at least one of a pulse oximetry system, an electrocardiogram (ECG) system, an acoustic physiological parameter measurement system, a breathing monitor, and a pulse rate monitor configured to measure the physiological signal. 10. A method of operating a physiological measurement system, the method comprising: detecting a physiological signal representative of one or more physiological parameters associated with a patient; applying one or more electric field signals to the patient to determine a capacitance signal; and reducing a noise level in the physiological signal by at least activating measurement of the one or more physiological parameters based on at least a capacitance level associated with the capacitance signal. 11. The method of claim 10 , further comprising: correcting for at least motion artifacts in the physiological signal using the capacitance signal. 12. The method of claim 10 , further comprising: emitting one or more optical signals into tissue of the patient, detecting the one or more optical signals after propagation through the tissue, and processing the one or more detected optical signals to determine an optical plethysmograph; processing the optical plethysmograph based at least in part on the capacitance signal to determine an adjusted plethysmograph having a reduced a noise level; and determining a physiological parameter based on the adjusted plethysmograph. 13. The method of claim 10 , further comprising: processing the capacitance signal to determine at least one noise component in the capacitance signal; reducing at least one noise component in the physiological signal using the at least one noise component in the capacitance signal. 14. The method of claim 10 , comprising: processing the capacitance signal to determine a noise level in the capacitance signal caused by at least motion of tissue of the patient; assigning the physiological signal a first processing weight when the noise level exceeds a noise threshold and assigning the physiological signal a second processing weight when the noise level does not exceed the noise threshold. 15. The method of claim 10 , further comprising: processing the capacitance signal to identify a motion signal associated with motion of tissue of the patient; and when the motion signal indicates that the motion of the tissue of the patient exceeds a motion threshold, activating a motion alert of the measurement system. 16. The method of claim 10 , further comprising: detecting the changes in the one or more electric field signals by at least detecting changes in capacitance of at least one capacitive plate positioned in proximity to tissue of the patient. 17. The method of claim 10 , wherein the one or more electric field signals comprise one or more modulated electric signals applied to one or more capacitor plates positioned in proximity to tissue of the patient. 18. The method of claim 10 , wherein detecting the physiological signal comprises measuring the physiological signal with at least one of a pulse oximetry system, an electrocardiogram (ECG) system, an acoustic physiological parameter measurement system, a breathing monitor, and a pulse rate monitor. 19. A physiological measurement apparatus, comprising: an optical portion configured to emit optical signals into tissue of a patient, and detect the optical signals after propagation through the tissue; a capacitance portion configured to apply an electric field signal to the patient using at least one capacitor plate located in proximity to the tissue of the patient to determine a capacitance signal; and a processing portion configured to: acquire the capacitance signal; and activate measurement of the optical signals based on at least a capacitance level associated with the capacitance signal; and identify a noise component in the capacitance signal caused by motion of the tissue of the patient, produce adjusted optical signals using at least the noise component in the capacitance signal, and identify one or more physiological parameters of the patient using at least the adjusted optical signals. 20. The apparatus of claim 19 , comprising: the processing portion configured to monitor the noise component in the capacitance signal to identify when the motion of the tissue
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