PARKINSON'S TREMOR CLASSIFICATION USING MACHINE LEARNING
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying a tremor of a subject having Parkinson's disease. In one aspect, there is provided a method comprising: receiving accelerometer data characterizing motion of the subject having Par...
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| creator | NJOUM, Haneen ABOU ZEID, Elias SARKER, Hillol |
| description | Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying a tremor of a subject having Parkinson's disease. In one aspect, there is provided a method comprising: receiving accelerometer data characterizing motion of the subject having Parkinson's disease; processing the accelerometer data using a tremor classification neural network, in accordance with values of a set of tremor classification neural network parameters, to generate a score distribution over a set of tremor classes, wherein the set of tremor classes comprises multiple tremor classes, wherein each tremor class in the set of tremor classes corresponds to a respective severity of tremor; and classifying a tremor of the subject having Parkinson's disease based on the score distribution over the set of tremor classes.
L'invention concerne des procédés, des systèmes et un appareil, y compris des programmes informatiques codés sur un support de stockage informatique, pour classer des tremblements d'un patient atteint de la maladie de Parkinson. Selon un aspect, l'invention concerne un procédé consistant à : recevoir des données d'accéléromètre caractérisant des mouvements du patient atteint de la maladie de Parkinson ; traiter les données d'accéléromètre à l'aide d'un réseau neuronal de classification de tremblements, conformément à des valeurs d'un ensemble de paramètres de réseau neuronal de classification de tremblements, pour générer une répartition de scores sur un ensemble de classes de tremblements, l'ensemble de classes de tremblements comprenant de multiples classes de tremblements, chaque classe de tremblements dans l'ensemble de classes de tremblements correspondant à une gravité respective de tremblements ; et classifier des tremblements du patient atteint de la maladie de Parkinson sur la base de la répartition de scores sur l'ensemble de classes de tremblements. |
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L'invention concerne des procédés, des systèmes et un appareil, y compris des programmes informatiques codés sur un support de stockage informatique, pour classer des tremblements d'un patient atteint de la maladie de Parkinson. Selon un aspect, l'invention concerne un procédé consistant à : recevoir des données d'accéléromètre caractérisant des mouvements du patient atteint de la maladie de Parkinson ; traiter les données d'accéléromètre à l'aide d'un réseau neuronal de classification de tremblements, conformément à des valeurs d'un ensemble de paramètres de réseau neuronal de classification de tremblements, pour générer une répartition de scores sur un ensemble de classes de tremblements, l'ensemble de classes de tremblements comprenant de multiples classes de tremblements, chaque classe de tremblements dans l'ensemble de classes de tremblements correspondant à une gravité respective de tremblements ; et classifier des tremblements du patient atteint de la maladie de Parkinson sur la base de la répartition de scores sur l'ensemble de classes de tremblements.</description><language>eng ; fre</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DIAGNOSIS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241121&DB=EPODOC&CC=WO&NR=2024238174A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241121&DB=EPODOC&CC=WO&NR=2024238174A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NJOUM, Haneen</creatorcontrib><creatorcontrib>ABOU ZEID, Elias</creatorcontrib><creatorcontrib>SARKER, Hillol</creatorcontrib><title>PARKINSON'S TREMOR CLASSIFICATION USING MACHINE LEARNING</title><description>Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying a tremor of a subject having Parkinson's disease. In one aspect, there is provided a method comprising: receiving accelerometer data characterizing motion of the subject having Parkinson's disease; processing the accelerometer data using a tremor classification neural network, in accordance with values of a set of tremor classification neural network parameters, to generate a score distribution over a set of tremor classes, wherein the set of tremor classes comprises multiple tremor classes, wherein each tremor class in the set of tremor classes corresponds to a respective severity of tremor; and classifying a tremor of the subject having Parkinson's disease based on the score distribution over the set of tremor classes.
L'invention concerne des procédés, des systèmes et un appareil, y compris des programmes informatiques codés sur un support de stockage informatique, pour classer des tremblements d'un patient atteint de la maladie de Parkinson. Selon un aspect, l'invention concerne un procédé consistant à : recevoir des données d'accéléromètre caractérisant des mouvements du patient atteint de la maladie de Parkinson ; traiter les données d'accéléromètre à l'aide d'un réseau neuronal de classification de tremblements, conformément à des valeurs d'un ensemble de paramètres de réseau neuronal de classification de tremblements, pour générer une répartition de scores sur un ensemble de classes de tremblements, l'ensemble de classes de tremblements comprenant de multiples classes de tremblements, chaque classe de tremblements dans l'ensemble de classes de tremblements correspondant à une gravité respective de tremblements ; et classifier des tremblements du patient atteint de la maladie de Parkinson sur la base de la répartition de scores sur l'ensemble de classes de tremblements.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAIcAzy9vQL9vdTD1YICXL19Q9ScPZxDA72dPN0dgzx9PdTCA329HNX8HV09vD0c1XwcXUM8gMK8DCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-HB_IwMjEyNjC0NzE0dDY-JUAQAdkymQ</recordid><startdate>20241121</startdate><enddate>20241121</enddate><creator>NJOUM, Haneen</creator><creator>ABOU ZEID, Elias</creator><creator>SARKER, Hillol</creator><scope>EVB</scope></search><sort><creationdate>20241121</creationdate><title>PARKINSON'S TREMOR CLASSIFICATION USING MACHINE LEARNING</title><author>NJOUM, Haneen ; ABOU ZEID, Elias ; SARKER, Hillol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2024238174A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>NJOUM, Haneen</creatorcontrib><creatorcontrib>ABOU ZEID, Elias</creatorcontrib><creatorcontrib>SARKER, Hillol</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>NJOUM, Haneen</au><au>ABOU ZEID, Elias</au><au>SARKER, Hillol</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PARKINSON'S TREMOR CLASSIFICATION USING MACHINE LEARNING</title><date>2024-11-21</date><risdate>2024</risdate><abstract>Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying a tremor of a subject having Parkinson's disease. In one aspect, there is provided a method comprising: receiving accelerometer data characterizing motion of the subject having Parkinson's disease; processing the accelerometer data using a tremor classification neural network, in accordance with values of a set of tremor classification neural network parameters, to generate a score distribution over a set of tremor classes, wherein the set of tremor classes comprises multiple tremor classes, wherein each tremor class in the set of tremor classes corresponds to a respective severity of tremor; and classifying a tremor of the subject having Parkinson's disease based on the score distribution over the set of tremor classes.
L'invention concerne des procédés, des systèmes et un appareil, y compris des programmes informatiques codés sur un support de stockage informatique, pour classer des tremblements d'un patient atteint de la maladie de Parkinson. Selon un aspect, l'invention concerne un procédé consistant à : recevoir des données d'accéléromètre caractérisant des mouvements du patient atteint de la maladie de Parkinson ; traiter les données d'accéléromètre à l'aide d'un réseau neuronal de classification de tremblements, conformément à des valeurs d'un ensemble de paramètres de réseau neuronal de classification de tremblements, pour générer une répartition de scores sur un ensemble de classes de tremblements, l'ensemble de classes de tremblements comprenant de multiples classes de tremblements, chaque classe de tremblements dans l'ensemble de classes de tremblements correspondant à une gravité respective de tremblements ; et classifier des tremblements du patient atteint de la maladie de Parkinson sur la base de la répartition de scores sur l'ensemble de classes de tremblements.</abstract><oa>free_for_read</oa></addata></record> |
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| language | eng ; fre |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | PARKINSON'S TREMOR CLASSIFICATION USING MACHINE LEARNING |
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