Ma yi and wen yizhen, both graduate students in the laboratory, participate in the 2019 BioCAS

王 敏
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2019-12-0409:36:27 评论浏览:78 883字阅读2分56秒
Abstract

From October 16 to 19, 2019, teachers wang guoxing and li yongfu of BiCASL of micro-nano electronics led ma yi and wen yizhen to attend the BioCAS 2019 academic conference held in nara, Japan.

From October 16 to 19, 2019, teachers wang guoxing and li yongfu of BiCASL of micro-nano electronics led ma yi and wen yizhen to attend the BioCAS 2019 academic conference held in nara, Japan.

17 morning, Ma Yi in breakout shows her paper posters "LungBRN: A Smart Digital Stethoscope for Detecting Respiratory diseases, Using bi - ResNet Deep Learning Algorithm", and exchanged views on paper with the domestic and foreign scholars, also visited other scholars posters content;

On the evening of 17th, Mr. Ma yi and Mr. Wen yizhen, Mr. Li yongfu, respectively conducted a live demonstration on behalf of the laboratory, introducing in detail the multiple systems independently developed by the laboratory for researchers from all over the world. Many participants showed strong interest in our system and application, and participated in the experience one after another. These field demonstrations are Live Demonstration: Prefrontal Mental Task Classification Through a Wearable near-infrared Spectroscopy System by cui shaoyang. Live Demo by ma yi: lungsys-automatic Digital Stethoscope System For Adventitious Respiratory Sound Detection and Live Demonstration by wu yi An eeg-based Comparative Study of Light Color Effect on Mental Stress Relief Using An Integrated Mobile Application.

19 morning, Wen Yizhen in Biosignal Recording, Processing, and Machine Learning as the theme of the venue, on the paper "A Multi - channel NIRS System for Prefrontal getting Task Classification Employing Deep Forest Algorithm" to do the oral speech, This paper introduces the hardware part of the multi-channel near infrared system, the task of brain activity activation in the frontal region and the classification algorithm.

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