Medical monitoring device for harmonizing physiological measurements
Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.
1. A physiological monitoring system configured to determine a physiological parameter by harmonizing data between two or more different types of non-invasive physiological sensors interrogating a shared tissue volume, the physiological monitoring system comprising:
a plethysmography sensor configured to generate a first signal indicative of first physiological data associated with a shared tissue volume;
a second non-invasive sensing device configured to generate a second signal indicative of tissue geometry data associated with the shared tissue volume, wherein the second non-invasive sensing device comprises at least one of, an optical coherence tomography (OCT) sensor, a tissue dielectric constant sensor, or a bioimpedance sensor; and
one or more processors in communication with the plethysmography sensor and the second non-invasive sensing device, the one or more processors configured to:
receive the first signal and the second signal,
determine a physiological parameter based at least in part on the first signal and the second signal, and
output a visual or audible indication of the physiological parameter.
2. The system of claim 1 , wherein tissue geometry data comprises information related to a thickness of one or more layers of skin of the shared tissue volume, a cellular structure of the shared tissue volume, or a water content of the shared tissue volume.
3. The system of claim 1 , wherein the plethysmography sensor and the second non-invasive sensing device concurrently interrogate the shared tissue volume.
4. The system of claim 1 , wherein the plethysmography sensor and the second non-invasive sensing device interrogate the shared tissue volume at distinct and different time periods.
5. The system of claim 1 , further comprising a Raman spectrometer configured to generate a third signal corresponding to Raman spectra associated with the shared tissue volume.
6. The system of claim 5 , wherein the one or more processors are further configured to determine an isolated Raman signal by reducing or removing at least one of an effect of fluorescence or an effect of absorption from the third signal.
7. The system of claim 1 , wherein the one or more processors are further configured to determine a path length associated with the shared tissue volume, wherein the physiological parameter is determined based at least in part on the path length associated with the shared tissue volume.
8. The system of claim 1 , wherein the one or more processors are further configured to determine an absorption of light of the shared tissue volume, wherein the physiological parameter is determined based at least in part on the absorption of light of the shared tissue volume.
9. The system of claim 1 , wherein the physiological parameter comprises a blood glucose concentration associated with the shared tissue volume.
10. The system of claim 1 , further comprising a Raman spectrometer, wherein the one or more processors are further configured to calibrate the Raman spectrometer based at least in part on the first signal, wherein to calibrate the Raman spectrometer, the one or more processors are configured to select at least one of a focal depth, a focal length, a wavelength, or a refractive index, associated with the Raman spectrometer.
11. A method for determining a physiological parameter by harmonizing data between two or more different types of non-invasive physiological sensors interrogating a shared tissue volume, the method comprising:
receiving a first signal from a plethysmography sensor configured to interrogate a shared tissue volume and generate the first signal, wherein the first signal is indicative of first physiological data associated with the shared tissue volume;
receiving a second signal from a bioimpedance sensor, wherein the second signal is indicative of second physiological data associated with the shared tissue volume;
determining a physiological parameter based at least in part on the first and second signals; and
outputting a visual or audible indication of the physiological parameter.
12. The method of claim 11 , wherein the plethysmography sensor and the bioimpedance sensor concurrently interrogate the shared tissue volume.
13. The method of claim 11 , further comprising receiving a third signal from a tissue dielectric constant sensor, wherein the third signal is indicative of third physiological data associated with the shared tissue volume, and wherein said determining the physiological parameter is further based at least in part on the third signal.
14. The method of claim 11 , further comprising receiving a third signal from a Raman spectrometer, wherein the third signal is indicative of third physiological data associated with the shared tissue volume, and wherein said determining the physiological parameter is further based at least in part on the third signal.
15. A physiological monitoring system configured to determine a physiological parameter by harmonizing data between two or more different types of non-invasive physiological sensors interrogating a shared volume of tissue, the physiological monitoring system comprising:
a plurality of sensors configured to interrogate a shared volume of tissue of a patient, wherein each of the plurality of sensors is configured to generate a sensor signal associated with physiological data of the shared volume of tissue, wherein the plurality of sensors comprises a plethysmography sensor and a bioimpedance sensor; and
a processor in communication with each of the plurality of sensors and configured to:
receive the plurality of sensor signals,
determine a physiological parameter associated with the shared volume of tissue based at least in part on the plurality of sensor signals, and
output a visual or audible indication of the physiological parameter.
16. The system of claim 13 , wherein the plurality of sensors further comprises a temperature sensor, a Raman sensor, an optical coherence tomography (OCT) sensor, and a tissue dielectric constant sensor.
17. The system of claim 13 , wherein the plurality of sensors comprises at least four different types of sensors.
18. The system of claim 13 , wherein at least two of the plurality of sensors are configured to concurrently interrogate the shared tissue volume.
19. The system of claim 13 , wherein each of the plurality of sensors is configured to interrogate the shared tissue volume at a distinct and different time period.
20. A physiological monitoring system configured to determine a physiological parameter by harmonizing data between two or more different types of non-invasive physiological sensors interrogating a shared tissue volume, the physiological monitoring system comprising:
a plethysmography sensor configured to generate a first signal indicative of first physiological data associated with a shared tissue volume;
a second non-invasive sensing device configured to generate a second signal indicative of second physiological data associated with the shared tissue volume, wherein the second non-invasive sensing device comprises a Raman sensor; and
one or more processors in communication with the plethysmography sensor and the second non-invasive sensing device, the one or more processors configured to:
receive the first signal and the second signal,
determine a physiological parameter based at least in part on the first signal and the second signal, and
output a visual or audible indication of the physiological parameter.
21. The system of claim 20 , wherein the one or more processors are further configured to calibrate the Raman sensor based at least in part on the first signal, wherein to calibrate the Raman sensor, the one or more processors are configured to select at least one of a focal depth, a focal length, a wavelength, or a refractive index associated with the Raman sensor.
22. The system of claim 20 , wherein the one or more processors are further configured to determine an isolated Raman signal by reducing or removing at least one of an effect of fluorescence or an effect of absorption from the second signal.