公开(公告)号：US20170105643A1

公开(公告)日：2017-04-20

申请号：US15389978

申请日：2016-12-23

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Ye LI ,  Xiaomao FAN ,  Furu XIANG ,  Yunpeng CAI ,  Fen MIAO

IPC: A61B5/04 ,  A61B5/00 ,  A61B5/0456

CPC classification number: A61B5/04017 ,  A61B5/0456 ,  A61B5/0472 ,  A61B5/7203 ,  A61B5/7264

Abstract: The present disclosure provides a GPU-based parallel electrocardiogram signal analysis method, comprising: performing a filtering process of electrocardiogram signals through a long interval artifact removal and a short interval artifact removal; performing a QRS detection of the filtering-processed electrocardiogram signals through an R-wave position extraction, a QRS complex start and end positions extraction and a QRS complex width extraction; performing an abnormal waveform classification of the QRS-detected electrocardiogram signals through template creation; wherein at least one of the long interval artifact removal, the short interval artifact removal, the R-wave position extraction, the QRS complex width extraction and the creation template is performed by a multiple threads at a GPU device side in parallel, any thread being read through its unique index number to process corresponding data. By executing one or more steps of the electrocardiogram signal analysis at GPU in parallel, the present disclosure increases the analysis speed of the electrocardiogram signals.

公开(公告)号：US20230022206A1

公开(公告)日：2023-01-26

申请号：US17786840

申请日：2019-12-17

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Shuqiang WANG ,  Senrong YOU ,  Guobao WU ,  Yiqian LU ,  Fen MIAO ,  Chitang ZHANG

IPC: G06T7/00 ,  G06V10/774 ,  G06V10/764 ,  G06V10/82 ,  A61B5/00 ,  A61B5/08

Abstract: An infrared image sequence-based sleep quality evaluation system and method. The method comprises: obtaining a plurality of respiratory infrared image sequences to be evaluated, one respiratory infrared image sequence comprising a plurality of respiratory infrared image frames to be evaluated; performing sleep quality evaluation on each respiratory infrared image sequence in the plurality of respiratory infrared image sequences by means of a classifier to obtain a sleep quality evaluation result corresponding to each respiratory infrared image sequence; and counting the number of different sleep quality evaluation results according to the sleep quality evaluation results respectively corresponding to the plurality of respiratory infrared image sequences, and determining the sleep quality evaluation result with the largest number as a sleep quality evaluation result of a user. Contactless sleep monitoring can be carried out on a user, monitoring costs are reduced at the same time, and evaluation accuracy of sleep quality is improved.