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YOCALY INFORMATION SCIENCE & TECH CO LTD

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    144,660
About

YOCALY INFORMATION SCIENCE & TECH CO LTD has a total of 12 patent applications. Its first patent ever was published in 2018. It filed its patents most often in China. Its main competitors in its focus markets medical technology and computer technology are ANHUI XINZHISHENG MEDICAL TECH CO LTD, SHENZHEN IKINOOP TECH CO LTD and FINGERPRINT MACHINE CORP.

Patent filings in countries

World map showing YOCALY INFORMATION SCIENCE & TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 12

Patent filings per year

Chart showing YOCALY INFORMATION SCIENCE & TECH CO LTDs patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Liu Chang 7
#2 Shi Bo 6
#3 Wang Ling 6
#4 Chen Juan 6
#5 Wu Chao 6
#6 Wang Jiayu 6
#7 Peng Xuemei 6
#8 Zhang Chengsheng 6
#9 Hu Youzhi 6
#10 Cao Jun 5

Latest patents

Publication Filing date Title
CN112244855A Data processing system for electrocardiogram data
CN111310578A Method and device for generating heart beat data sample classification network
CN111265211A Sliding detection method and device for heartbeat data
CN111275093A Heart beat classification method and device for multi-label labeling electrocardiosignals
CN111310572A Processing method and device for generating heart beat label sequence by utilizing heart beat time sequence
CN111259820A Heart beat data classification method and device based on R point
CN109431492A ECG lead signals based on neural network algorithm simulate method for reconstructing
CN109431489A Artificial intelligence electrocardiogram dynamic real-time analysis system
CN109431490A Artificial intelligence real-time analysis method and system for cardioelectric monitor
CN109431487A The recognition methods of room property heartbeat typical data in electrocardiogram dynamic real-time analysis data
CN109431491A A kind of automatic report-generating method and system for cardioelectric monitor
CN109431488A The recognition methods of typical data in a kind of electrocardiogram dynamic real-time analysis data