Non-invasive medical monitoring device for blood analyte measurements

Patent metadata

Field	Value
Publication number	US-11832940-B2
Application number	US-202017004663-A
Country	US
Kind code	B2
Filing date	Aug 27, 2020
Priority date	Aug 27, 2019
Publication date	Dec 5, 2023
Grant date	Dec 5, 2023

Abstract

Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from essentially the same, overlapping, or proximate regions of tissue of a patient are disclosed. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus and can be oriented such that each sensor is directed towards, or can obtain a measurement from, the same or a similar location.

First claim

What is claimed is:

1. A system for measuring physiological parameters from a tissue site of a patient, the system comprising:
a plurality of noninvasive sensors configured to obtain physiological data associated with a patient;
a tissue site attachment component; and
one or more sensor heads comprising:
a frame configured to support at least a portion of each of the plurality of noninvasive sensors; and
an interlocking component configured to mate with the tissue site attachment component so as to limit movement of the interlocking component with respect to the tissue site attachment component, wherein the tissue site attachment component is configured to couple to a tissue site of the patient, the interlocking component comprising:
an opening configured to allow at least one of the plurality of noninvasive sensors to obtain physiological data associated with the patient at the tissue site; and
a raised structure configured to be received into a recess of the tissue site attachment component at least partially formed by one or more raised walls of the tissue site attachment component.

2. The system of claim 1 wherein the interlocking component is configured to stabilize the tissue site while at least one of the plurality of noninvasive sensors obtains physiological data associated with the patient at the tissue site.

3. The system of claim 2 , wherein the interlocking component is configured to stabilize the tissue site in relation to horizontal movement.

4. The system of claim 1 , wherein the frame comprises an enclosure mechanism configured to receive a finger of the patient associated with the tissue site.

5. The system of claim 1 , wherein the frame is configured to be received by an enclosure mechanism configured to receive a finger of the patient associated with the tissue site.

6. The system of claim 4 , wherein the enclosure mechanism comprises a top portion and a bottom portion connected by a hinge configured to open and accept the finger of the patient.

7. The system of claim 4 , wherein the enclosure mechanism comprises an opening to allow at least one of the plurality of noninvasive sensors to measure the tissue site of the patient.

8. The system of claim 1 , wherein the tissue site attachment component is configured to couple to the tissue site of the patient by an adhesive.

9. The system of claim 1 , wherein the interlocking component comprises one or more electrical contacts.

10. The system of claim 9 , wherein the frame comprises one or more spring loaded electrical contacts configured to electrically connect with the one or more electrical contacts of the interlocking component when the interlocking component is coupled to the frame.

Assignees

• Cercacor Lab Inc

Inventors

• Diab Mohamed K
• Pauley Kevin Hughes
• Chen Jesse
• Dalvi Cristiano
• Vo Hung The
• Lesmana Ferdyan
• Poeze Jeroen
• Long Ruiqi
• Krishnamani Venkatramanan
• Lee Frank

Classifications

• A61B5/7267

  involving training the classification device · CPC title

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G06N3/0464

  Convolutional networks [CNN, ConvNet] · CPC title

• H04L41/16

  using machine learning or artificial intelligence · CPC title