http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111803123-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_519c60efd68ec01ca45df61da97d5aa5
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-5292
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filingDate 2020-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e6b2412f023dda256c095f04233dd40b
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publicationDate 2020-10-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111803123-A
titleOfInvention Evaluation System for Quantitative Lung Water Content in Lung Ultrasound Detection
abstract The invention discloses a quantitative evaluation system for lung water content in the field of lung ultrasound detection in the field of medical devices, so as to solve the defects of the prior art that measurement results are greatly affected by lung volume and the degree of pulmonary edema cannot be accurately and quantitatively evaluated for a long time. In order to achieve this purpose, the technical solution includes an ultrasonic module, the ultrasonic module transmits ultrasonic waves to the patient's body, and the ultrasonic module receives the reflected waves fed back, the ultrasonic module is connected with a probe, and the ratio of the lung water content is graded according to the information fed back by the ultrasonic module Cardiac arrest > respiratory arrest > type II respiratory failure > type I respiratory failure > rapid breathing, the sensed display module includes a signal converter electrically connected to the measuring end, the signal converter is connected with a central processing module, and the central processing module Signal connection display. The invention utilizes ultrasonic display to accurately judge the lung water content, and realizes the analysis and real-time monitoring of the clinical symptoms of patients.
priorityDate 2020-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
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Total number of triples: 18.