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assignee |
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classificationCPCInventive |
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filingDate |
2021-07-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2022-06-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6f668c4c691ae61fb469860e0e844a8f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_08a9e33d54c9f9a799828038ef36861f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_04ee377b6994362ce9f1cfafbb888fad http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d6359e59bf1b5baf00e216031bc85775 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3eb1f6dcefa6f168f92bfc9ac98fa00d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3686dc8b4b8e4688e3c26a6636de5a64 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a9d2639057d3cc33fca784f3d5ae0c58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b370a64c34d8d137c67e9a79ffa33210 |
publicationDate |
2022-06-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
AU-2021104675-A4 |
titleOfInvention |
Artificial Intelligence with the Internet of Medical Things (IoMT) To Combat Large Scale Epidemic |
abstract |
Artificial Intelligence with the Internet of Medical Things (IoMT) nTo Combat Large Scale Epidemic nRecent advances in many areas of health, such as the Internet of Things and Al, have nmade significant contributions to health support during large-scale epidemics. People are nstranded due to travel restrictions, and health facilities are overcrowded with many patients. The nelderly are particularly vulnerable to infection. Therefore, in-home health monitoring has nbecome commonplace for regular citizens and health care providers. Current advances in the nInternet of Medical Things (IoMT) have exposed hopeful consequences by gathering data on nvarious physical and emotional health issues from the in-home environment. The IoMT can track nthe latest physiology, emotion, activity, and vitality levels using wearable and non-invasive offnthe-shelf hardware. Modem artificial intelligence applications can operate in a resourcenrestricted environment that permits data to be processed locally from IoMT devices and makes nassumptions about in-home health. This patent executes an IoMT system that utilizes artificial nintelligence to diagnose various kinds of health-related large scale epidemic symptoms and ncreates reports and warnings that could be used for clinical decision support.nQuality of Life States nInternet of Medical Things nMLX90614 Google CORAL TPU nof nFLIR Lepton 3.5-Pure Thermal-2 Intel NCS2 Edge GPU nMUSE EEG Sensor naAMCS833 MAX 30100 ReSpeaker 4-Mic Array nFLIR One PRO Smartphone PI / WEB CAMERA nArtificial Intelligence Nodes nRaspberry NVIDIA nPC P1 Jetson Nano Smartphone |
priorityDate |
2021-07-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |