Pain data evaluation method based on self-encoding and related components
The invention discloses a pain data evaluation method based on self-encoding and related components. The method comprises the following steps: taking laser evoked potential electroencephalogram data as an input signal, transmitting the laser evoked potential electroencephalogram data to a convolutio...
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| creator | LI FANGCHAO WANG JIAHAO ZHANG ZHIGUO HUANG GAN |
| description | The invention discloses a pain data evaluation method based on self-encoding and related components. The method comprises the following steps: taking laser evoked potential electroencephalogram data as an input signal, transmitting the laser evoked potential electroencephalogram data to a convolutional neural network, extracting the information of a time domain and a space domain, and reducing thenumber of network parameters through employing a depth separable convolution layer; reducing the data feature dimension to a preset dimension by using a full connection layer to obtain a coded signal; recovering the coded signal by using a deconvolution and up-sampling technology to obtain a reconstructed signal, and completing the construction of a neural network self-coding model; updating parameters of the neural network self-encoding model by calculating gradient iteration of a difference value between the reconstructed signal and the input signal, so that the neural network self-encodingmodel achieves convergenc |
| format | Patent |
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The method comprises the following steps: taking laser evoked potential electroencephalogram data as an input signal, transmitting the laser evoked potential electroencephalogram data to a convolutional neural network, extracting the information of a time domain and a space domain, and reducing thenumber of network parameters through employing a depth separable convolution layer; reducing the data feature dimension to a preset dimension by using a full connection layer to obtain a coded signal; recovering the coded signal by using a deconvolution and up-sampling technology to obtain a reconstructed signal, and completing the construction of a neural network self-coding model; updating parameters of the neural network self-encoding model by calculating gradient iteration of a difference value between the reconstructed signal and the input signal, so that the neural network self-encodingmodel achieves convergenc</description><language>chi ; eng</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>2020</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=20201117&DB=EPODOC&CC=CN&NR=111951958A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201117&DB=EPODOC&CC=CN&NR=111951958A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI FANGCHAO</creatorcontrib><creatorcontrib>WANG JIAHAO</creatorcontrib><creatorcontrib>ZHANG ZHIGUO</creatorcontrib><creatorcontrib>HUANG GAN</creatorcontrib><title>Pain data evaluation method based on self-encoding and related components</title><description>The invention discloses a pain data evaluation method based on self-encoding and related components. 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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 | Pain data evaluation method based on self-encoding and related components |
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