Segman, 2018 - Google Patents
Device and method for noninvasive glucose assessmentSegman, 2018
View HTML- Document ID
- 13415855526099936508
- Author
- Segman Y
- Publication year
- Publication venue
- Journal of diabetes science and technology
External Links
Snippet
Background: Intensive monitoring of blood glucose levels is crucial in diabetes management. This article presents a new device, the TensorTip Combo Glucometer (CoG), developed by Cnoga Medical Ltd, which enables to predict capillary tissue glucose …
- WQZGKKKJIJFFOK-GASJEMHNSA-N D-Glucose data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
<svg version='1.1' baseProfile='full'
              xmlns='http://www.w3.org/2000/svg'
                      xmlns:rdkit='http://www.rdkit.org/xml'
                      xmlns:xlink='http://www.w3.org/1999/xlink'
                  xml:space='preserve'
width='300px' height='300px' viewBox='0 0 300 300'>
<!-- END OF HEADER -->
<rect style='opacity:1.0;fill:#FFFFFF;stroke:none' width='300.0' height='300.0' x='0.0' y='0.0'> </rect>
<path class='bond-0 atom-0 atom-1' d='M 46.2,132.4 L 54.0,143.9' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-0 atom-0 atom-1' d='M 54.0,143.9 L 61.8,155.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-1 atom-2 atom-1' d='M 113.1,151.7 L 61.5,150.3 L 62.2,160.6 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-2 atom-2 atom-3' d='M 113.1,151.7 L 119.3,139.0' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2 atom-2 atom-3' d='M 119.3,139.0 L 125.4,126.2' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11 atom-10 atom-2' d='M 142.0,194.2 L 113.1,151.7' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 153.2,104.1 L 170.0,102.9' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 170.0,102.9 L 186.8,101.7' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 186.8,101.7 L 192.9,89.0' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 192.9,89.0 L 199.1,76.2' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5 atom-4 atom-6' d='M 186.8,101.7 L 215.6,144.2' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 222.4,144.7 L 222.3,142.7' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 229.2,145.3 L 228.9,141.2' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 236.0,145.8 L 235.5,139.7' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 242.8,146.3 L 242.2,138.1' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 249.6,146.9 L 248.8,136.6' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7 atom-6 atom-8' d='M 215.6,144.2 L 193.2,190.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8 atom-8 atom-9' d='M 193.2,190.5 L 200.1,205.2 L 204.4,202.3 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 200.1,205.2 L 215.5,214.1 L 207.0,219.9 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 200.1,205.2 L 204.4,202.3 L 215.5,214.1 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-9 atom-8 atom-10' d='M 193.2,190.5 L 142.0,194.2' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 138.2,199.7 L 140.0,200.6' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 134.4,205.1 L 138.1,206.9' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 130.6,210.6 L 136.2,213.3' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 126.8,216.1 L 134.2,219.7' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 123.0,221.5 L 132.3,226.0' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<text x='13.6' y='123.2' class='atom-0' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='26.8' y='123.2' class='atom-0' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='129.3' y='115.7' class='atom-3' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='203.0' y='65.7' class='atom-5' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='217.2' y='65.7' class='atom-5' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='260.7' y='150.7' class='atom-7' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='274.9' y='150.7' class='atom-7' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='215.9' y='243.3' class='atom-9' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='230.1' y='243.3' class='atom-9' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='100.3' y='250.8' class='atom-11' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='113.4' y='250.8' class='atom-11' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
</svg>
 data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
<svg version='1.1' baseProfile='full'
              xmlns='http://www.w3.org/2000/svg'
                      xmlns:rdkit='http://www.rdkit.org/xml'
                      xmlns:xlink='http://www.w3.org/1999/xlink'
                  xml:space='preserve'
width='85px' height='85px' viewBox='0 0 85 85'>
<!-- END OF HEADER -->
<rect style='opacity:1.0;fill:#FFFFFF;stroke:none' width='85.0' height='85.0' x='0.0' y='0.0'> </rect>
<path class='bond-0 atom-0 atom-1' d='M 11.0,34.7 L 14.0,39.1' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-0 atom-0 atom-1' d='M 14.0,39.1 L 17.0,43.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-1 atom-2 atom-1' d='M 31.5,42.5 L 16.9,42.1 L 17.1,45.0 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-2 atom-2 atom-3' d='M 31.5,42.5 L 33.9,37.6' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2 atom-2 atom-3' d='M 33.9,37.6 L 36.3,32.7' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11 atom-10 atom-2' d='M 39.7,54.5 L 31.5,42.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 40.1,29.2 L 46.2,28.8' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 46.2,28.8 L 52.4,28.3' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 52.4,28.3 L 54.8,23.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 54.8,23.4 L 57.1,18.6' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5 atom-4 atom-6' d='M 52.4,28.3 L 60.6,40.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 64.8,40.5 L 64.7,39.6' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 68.9,40.7 L 68.8,38.8' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 73.1,40.9 L 72.9,38.0' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7 atom-6 atom-8' d='M 60.6,40.4 L 54.3,53.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8 atom-8 atom-9' d='M 54.3,53.5 L 57.0,58.8 L 58.2,58.0 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 57.0,58.8 L 62.2,62.5 L 59.8,64.2 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 57.0,58.8 L 58.2,58.0 L 62.2,62.5 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-9 atom-8 atom-10' d='M 54.3,53.5 L 39.7,54.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 37.5,58.0 L 38.4,58.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 35.3,61.4 L 37.1,62.2' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 33.1,64.8 L 35.7,66.1' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<text x='3.2' y='34.5' class='atom-0' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='7.0' y='34.5' class='atom-0' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='36.1' y='32.4' class='atom-3' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='57.0' y='18.2' class='atom-5' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='61.1' y='18.2' class='atom-5' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='73.3' y='42.3' class='atom-7' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='77.5' y='42.3' class='atom-7' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='60.6' y='68.5' class='atom-9' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='64.8' y='68.5' class='atom-9' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='27.7' y='70.6' class='atom-11' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='31.6' y='70.6' class='atom-11' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
</svg>
 OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O 0 title abstract description 90
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0059—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
- A61B5/0086—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters using infra-red radiation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
- A61B5/414—Evaluating particular organs or parts of the immune or lymphatic systems
- A61B5/415—Evaluating particular organs or parts of the immune or lymphatic systems the glands, e.g. tonsils, adenoids or thymus
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14546—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring analytes not otherwise provided for, e.g. ions, cytochromes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6825—Hand
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
- A61B5/412—Detecting or monitoring sepsis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0059—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0062—Arrangements for scanning
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Segman | Device and method for noninvasive glucose assessment | |
Joshi et al. | iGLU 2.0: A new wearable for accurate non-invasive continuous serum glucose measurement in IoMT framework | |
Amir et al. | Continuous noninvasive glucose monitoring technology based on “occlusion spectroscopy” | |
Schmelzeisen-Redeker et al. | Time delay of CGM sensors: relevance, causes, and countermeasures | |
Liu et al. | Accuracy of noninvasive glucose sensing based on near-infrared spectroscopy | |
Ajmal et al. | Monte Carlo analysis of optical heart rate sensors in commercial wearables: the effect of skin tone and obesity on the photoplethysmography (PPG) signal | |
Maruo et al. | Near-infrared noninvasive blood glucose prediction without using multivariate analyses: introduction of imaginary spectra due to scattering change in the skin | |
US9841415B2 (en) | Noninvasive apparatus and method for testing glycated hemoglobin | |
Scholtes-Timmerman et al. | Raman spectroscopy as a promising tool for noninvasive point-of-care glucose monitoring | |
Parab et al. | Backpropagation neural network-based machine learning model for prediction of blood urea and glucose in CKD patients | |
US10980423B2 (en) | Devices and methods for predicting hemoglobin levels using electronic devices such as mobile phones | |
Vahlsing et al. | Noninvasive monitoring of blood glucose using color-coded photoplethysmographic images of the illuminated fingertip within the visible and near-infrared range: opportunities and questions | |
Chaiken et al. | Noninvasive blood and tissue analysis: Raman spectroscopy, one perspective for monitoring of glucose and beyond | |
Arefin et al. | Monte Carlo based simulations of racial bias in pulse oximetry | |
Karolcik et al. | A multi-site, multi-wavelength ppg platform for continuous non-invasive health monitoring in hospital settings | |
Garrett et al. | Simultaneous photoplethysmography and blood flow measurements towards the estimation of blood pressure using speckle contrast optical spectroscopy | |
Phan et al. | Quantifying the confounding effect of pigmentation on measured skin tissue optical properties: a comparison of colorimetry with spatial frequency domain imaging | |
Yang et al. | Quantitative measurement of muscle oxygen saturation without influence from skin and fat using continuous-wave near infrared spectroscopy | |
Kwon et al. | Machine-learning-based noninvasive in vivo estimation of hba1c using photoplethysmography signals | |
Davydov et al. | New Methodology of Human Health Express Diagnostics Based on Pulse Wave Measurements and Occlusion Test | |
Sharma et al. | Racial and skin color mediated disparities in pulse oximetry in infants and young children | |
Segman et al. | Post marketing study of hemodynamic and hematological noninvasive readings in a blood bank | |
Pfützner et al. | System accuracy assessment of a combined invasive and noninvasive glucometer | |
Smith et al. | Objective determination of peripheral edema in heart failure patients using short-wave infrared molecular chemical imaging | |
Strojnik et al. | Spectral dependence of absorption sensitivity on concentration of oxygenated hemoglobin: pulse oximetry implications |