{"id":"https://openalex.org/W4200357498","doi":"https://doi.org/10.1145/3500931.3501003","title":"Data Augmentation of Wrist Pulse Signal for Traditional Chinese Medicine Using Wasserstein GAN","display_name":"Data Augmentation of Wrist Pulse Signal for Traditional Chinese Medicine Using Wasserstein GAN","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4200357498","doi":"https://doi.org/10.1145/3500931.3501003"},"language":"en","primary_location":{"id":"doi:10.1145/3500931.3501003","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009490233","display_name":"Jiaxing Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxing Chang","raw_affiliation_strings":["Research Center for Intelligent, Science and Engineering Technology of TCM, School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent, Science and Engineering Technology of TCM, School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063516286","display_name":"Fei Hu","orcid":"https://orcid.org/0000-0003-3625-286X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hu","raw_affiliation_strings":["Research Center for Intelligent, Science and Engineering Technology of TCM, School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent, Science and Engineering Technology of TCM, School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021975494","display_name":"Huaxing Xu","orcid":"https://orcid.org/0000-0002-5595-9935"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxing Xu","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064928055","display_name":"Xiaobo Mao","orcid":"https://orcid.org/0000-0001-7947-2075"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Mao","raw_affiliation_strings":["Research Center for Intelligent, Science and Engineering Technology of TCM, School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent, Science and Engineering Technology of TCM, School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076415573","display_name":"Yuping Zhao","orcid":"https://orcid.org/0000-0002-0914-4348"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping Zhao","raw_affiliation_strings":["Research Center for Intelligent, Science and Engineering Technology of TCM, China Academy of Chinese Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent, Science and Engineering Technology of TCM, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100660764","display_name":"Luqi Huang","orcid":"https://orcid.org/0000-0002-8435-8207"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luqi Huang","raw_affiliation_strings":["Research Center for Intelligent, Science and Engineering Technology of TCM, China Academy of Chinese Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent, Science and Engineering Technology of TCM, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009490233"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.7458,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76240163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"426","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11327","display_name":"Acupuncture Treatment Research Studies","score":0.9273999929428101,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390361428260803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829861164093018},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5264913439750671},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5261580348014832},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.5187866687774658},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4905168414115906},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4699842035770416},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4185439646244049},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40861135721206665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3864651620388031},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.17333123087882996},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11932539939880371},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.09098067879676819}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390361428260803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829861164093018},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5264913439750671},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5261580348014832},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.5187866687774658},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4905168414115906},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4699842035770416},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4185439646244049},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40861135721206665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3864651620388031},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.17333123087882996},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11932539939880371},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.09098067879676819},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3500931.3501003","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4674821174","display_name":null,"funder_award_id":"1804309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1639961155","https://openalex.org/W2044204465","https://openalex.org/W2096772233","https://openalex.org/W2106923614","https://openalex.org/W2160771609","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2510684845","https://openalex.org/W2889692390","https://openalex.org/W2992094976","https://openalex.org/W3004056434","https://openalex.org/W3163705825"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W4375867731","https://openalex.org/W2231829109","https://openalex.org/W2377378424"],"abstract_inverted_index":{"Pulse":[0],"diagnosis":[1,29,41,133],"has":[2,30,112],"been":[3,31],"widely":[4],"used":[5],"in":[6,124],"traditional":[7],"Chinese":[8],"medicine":[9],"(TCM)":[10],"for":[11,67,122],"thousands":[12],"of":[13,21,52,88,131,139],"years.":[14],"Recently,":[15],"with":[16,103],"the":[17,50,68,85,89,109,129,137],"availability":[18,51],"and":[19,23,34,93,100],"improvement":[20],"advanced":[22],"portable":[24],"sensor":[25],"technology,":[26],"computational":[27],"pulse":[28,40,91,132],"obtaining":[32],"more":[33,35],"attentions.":[36],"In":[37,64],"this":[38,65,117],"field,":[39],"based":[42],"on":[43],"deep":[44],"learning":[45],"show":[46],"promising":[47],"performance.":[48],"However,":[49],"labeled":[53],"data":[54,62,111],"is":[55],"limited,":[56],"due":[57],"to":[58,126],"lengthy":[59],"experiments":[60],"or":[61],"privacy.":[63],"paper,":[66],"first":[69],"time,":[70],"we":[71],"propose":[72],"a":[73],"novel":[74],"one-dimensional":[75],"Wasserstein":[76],"generative":[77],"adversarial":[78],"network":[79],"(WGAN)":[80],"model,":[81],"which":[82],"can":[83],"learn":[84],"statistical":[86],"characteristics":[87],"wrist":[90],"signal":[92],"augment":[94],"its":[95],"datasets":[96],"size.":[97],"Visual":[98],"inspection":[99],"experimental":[101],"evaluations":[102],"two":[104],"quantitative":[105],"metrics":[106],"demonstrated":[107],"that":[108],"generated":[110],"good":[113],"fidelity.":[114],"We":[115],"hope":[116],"research":[118],"opening":[119],"up":[120],"opportunities":[121],"researchers":[123],"TCM":[125],"further":[127,135],"improve":[128],"performance":[130],"algorithms,":[134],"facilitating":[136],"modernization":[138],"TCM.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
