MULTI-STREAM DATA COLLECTION SYSTEM FOR NONINVASIVE MEASUREMENT OF BLOOD CONSTITUENTS

• US 20160166183A1
• Filed: 12/28/2015
• Published: 06/16/2016
• Est. Priority Date: 07/03/2008
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Original Assignee: Masimo Corporation
• Inventors: Poeze, Jeroen, Lamego, Marcelo, Merritt, Sean, Dalvi, Cristiano, Vo, Hung, Bruinsma, Johannes, Lesmana, Ferdyan, Kiani, Massi Joe E.
• Granted Patent: US 10,335,068 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0233 Special features of optical sensors or probes classified in A61B5/00
• CPC Class Codes: A61B 2562/04 Arrangements of multiple sensors of the same type
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 2562/146 for optical coupling
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6816 Ear lobe
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/6843 Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/70 Means for positioning the patient in relation to the detecting, measuring or recording means
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor

Abstract

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

Claims

1. (canceled)

2. A front-end interface for a noninvasive, physiological sensor, said front-end interface comprising:

one or more inputs configured to receive signals from respective one or more detectors in the sensor;

one or more switched capacitor circuits configured to convert the one or more signals from the one or more detectors into a digital output signal having a stream for each of the one or more detectors; and

an output configured to provide the digital output signal.

3. The front-end interface of claim 2, wherein the front-end interface is integrated with the sensor.

4. The front-end interface of claim 2, wherein the one or more detectors include at least two detectors, wherein the one or more switched capacitor circuits include at least two switched capacitor circuits, and wherein the at least two switched capacitor circuits are configured to combine the streams of a set of the two or more detectors into a single stream.

5. A conversion processor for a physiological, noninvasive sensor, said conversion processor comprising:

a multi-stream input configured to receive signals from at least one detector in the sensor, wherein the signals are responsive to optical radiation from a tissue site;

a modulator that converts the multi-stream input into a digital bit-stream; and

a signal processor that produces an output signal from the digital bit-stream.

6. The conversion processor of claim 5, wherein at least one of the a first detector of the at least one detector in the sensor comprises a set of photodiodes coupled together into a group.

7. The conversion processor of claim 6, wherein the first detector in the sensor comprises a set of two photodiodes coupled together.

8. The conversion processor of claim 7, wherein the first detector in the sensor comprises a set of three photodiodes coupled together.

9. The conversion processor of claim 7, wherein the first detector in the sensor comprises a set of four photodiodes coupled together.

10. The conversion processor of claim 7, wherein the first detector in the sensor comprises a set of nine photodiodes coupled together.

11. The conversion processor of claim 6, wherein the first detector in the sensor comprises a set photodiodes coupled together to provide a detection area of approximately 1 mm².

12. A front-end interface for a noninvasive, physiological sensor, said front-end interface comprising:

one or more inputs configured to receive signals from respective one or more detectors in the sensor;

one or more transimpedance amplifiers for each respective detector and configured to convert the signals from the respective one or more detectors into an output signal having a stream for each of the one or more detectors; and

an output configured to provide the output signal.

13. The front-end interface of claim 12, further comprising an averager, coupled to the one or more transimpedance amplifiers and the output, configured to average digital output signals from the respective one or more transimpedance amplifiers into the single output signal.

14. The front-end interface of claim 12, wherein at least a first of the one or more detectors in the sensor comprises a set of photodiodes coupled together into a group.

15. The front-end interface of claim 13, wherein the first detector in the sensor comprises a set of two photodiodes coupled together.

16. The front-end interface of claim 13, wherein the first detector in the sensor comprises a set of three photodiodes coupled together.

17. The front-end interface of claim 13, wherein the first detector in the sensor comprises a set of four photodiodes coupled together.

18. The front-end interface of claim 13, wherein the first detector in the sensor comprises a set of nine photodiodes coupled together.

19. The front-end interface of claim 13, wherein the first detector in the sensor comprises a set photodiodes coupled together to provide a detection area of approximately 1 mm².