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video-assisted bystander cardiopulmonary resuscitation improves the quality of chest compressions during simulated cardiac arrests: A systemic review and meta-analysis

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World Journal of Clinical Cases 2022年第31期10卷 11442-11453页

作者： Dong-Feng Pan Zheng-Jun Li Xin-Zhong Ji Li-Ting Yang Pei-Feng Liang Department of Emergency Medicine The First Affiliated Hospital of Northwest Minzu UniversityPeople’s Hospital of Ningxia Hui Autonomous RegionYinchuan 750002Ningxia Hui Autonomous RegionChina Department of Emergency Medicine People’s Hospital of Ningxia Hui Autonomous RegionYinchuan 750002Ningxia Hui Autonomous RegionChina Department of Emergency Medicine The Third Clinical Medical College of Ningxia Medical UniversityYinchuan 750002Ningxia Hui Autonomous RegionChina Department of Medicine Statistics People’s Hospital of Ningxia Hui Autonomous RegionYinchuan 750002Ningxia Hui Autonomous RegionChina

BACKGROUND It remains unclear whether video aids can improve the quality of bystander cardiopulmonary resuscitation(CPR).AIM To summarize simulation-based studies aiming at improving bystander CPR associated with the quality of chest compression and time-related quality parameters.METHODS The systematic review was conducted according to the PRISMA guidelines.All relevant studies were searched through PubMed,EMBASE,Medline and Cochrane Library databases.The risk of bias was evaluated using the Cochrane collaboration tool.RESULTS A total of 259 studies were eligible for inclusion,and 6 randomised controlled trial studies were ultimately included.The results of meta-analysis indicated that video-assisted CPR(V-CPR)was significantly associated with the improved mean chest compression rate[OR=0.66(0.49-0.82),Pvideo real-time guidance by the dispatcher can improve the quality of bystander CPR to a certain extent.However,the quality is still not ideal,and there is a lack of guidance caused by poor video signal or inadequate interaction.

关键词： Dispatcher-assisted cardiopulmonary resuscitation video Quality of chest compressions Simulated cardiac arrests

Motion-adaptive adjacent-reference skipping for distributed video compressive sensing with general decoders

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Optoelectronics Letters 2022年第12期18卷 755-762页

作者： YUAN Wenye LIU Hao College of Information Science and Technology Donghua UniversityShanghai201620China

On an internet of video things(IoVT), an encoder needs to collect a large number of signal samples to improve the reconstruction quality. It is challenging to some occasions where the resources of an encoder are extremely limited. The distributed video compressive sensing(DVCS) can save a lot of resources for the encoder. For the skip-block coding at such an encoder, this paper proposes a motion-adaptive adjacent-reference skipping(MAS) algorithm for DVCS with general decoders. The proposed algorithm makes full use of the spatial-temporal correlation between consecutive frames, and the reconstruction quality can be improved significantly. What’s more, the skipping ratio of non-keyframes is adaptive to the difference of their motion-speeds. The proposed algorithm does not need to change any decoder, so it can be easily applied to general decoders. The simulation results show that under different skipping ratios, the proposed algorithm can achieve better reconstruction quality than other existing algorithms, and thus improve the energy-efficiency of the encoder.

关键词： decoder frames video

Person video alignment with human pose registration

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Frontiers of Computer Science 2023年第4期17卷 229-231页

作者： Yu ZHANG Zihua WANG Jingyang ZHOU Siya MI School of Computer Science and Engineering and the Key Lab of Computer Network and Information Integration(Ministry of Education)Southeast UniversityNanjing 211189China School of Cyber Science and Engineering Southeast UniversityNanjing 211189China Purple Mountain Laboratories Nanjing 211111China

1 Introduction and main contributions.video alignment,especially human action alignment,is a challenging task.Its purpose is to develop an algorithm to match the same process so that videos can be aligned.Despite the progress that has been made in image recognition,it is still a difficult problem for distinguishing from similar frames for alignment without context information.

关键词： alignment video frames

video versus direct laryngoscopy on successful firstpass endotracheal intubation in ICU patients

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World Journal of Emergency Medicine 2018年第2期9卷 99-104页

作者： Yong-xia Gao Yan-bo Song Ze-juan Gu Jin-song Zhang Xu-feng Chen Hao Sun Zhen Lu Department of Emergency Medicine the First Affiliated Hospital of Nanjing Medical University

BACKGROUND: Airway management in intensive care unit(ICU) patients is challenging. The aim of this study was to compare the rate of successful first-pass intubation in the ICU by using the direct laryngoscopy(DL) and that by using the video laryngoscopy(VL).METHODS: A randomized, non-blinded trial comparing first-pass success rate of intubation between VL and DL was performed. Patients were recruited in the period from August 2014 to August 2016. All physicians working at ICU received hands-on training in the use of the video and direct laryngoscope. The primary outcome measure was the first-pass intubation success. RESULTS: A total of 163 ICU patients underwent intubation during the study period(81 patients in VL group and 82 in DL group). The rate of successful first-pass intubation was not significantly different between the VL and the DL group(67.9% vs. 69.5%, P=0.824). Moreover, the overall intubation success and total number of attempts to achieve intubation success did not differ between the two groups. In patients with successful first-pass intubation, the median duration of the intubation procedure did not differ between the two groups. The Cormack-Lehane grades and the percentage of glottic opening score were similar, and no significant differences were found between the two groups. There were no statistical differences between the VL and the DL group in intubation complications(all P>0.05). CONCLUSION: Among ICU patients requiring intubation, there was no significant difference in the rate of successful first-pass intubation between VL and DL.

关键词： Intubation video laryngoscopy Direct laryngoscopy Intensive care unit

Comparison of five video-assisted intubation devices by novice and expert laryngoscopists for use in the aeromedical evacuation environment

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Military Medical Research 2017年第2期4卷 61-69页

作者： Matthew C.Wallace SSgt Tyler Britton Robbie Meek Sharon Walsh-Hart Col Todd E.Carter Steven J.Lisco University of Cincinnati Medical Center Department of Anesthesiology

Background: The critically ill or injured patient undergoing military medical evacuation may require emergent intubation. Intubation may be life-saving, but it carries risks.The novice or infrequent laryngoscopist has a distinct disadvantage because experience is critical for the rapid and safe establishment of a secured airway. This challenge is compounded by the austere environment of the back of an aircraft under blackout conditions. This study determined which of five different video-assisted intubation devices(VAIDs) was best suited for in-flight use by U.S. Air Force Critical Care Air Transport Teams by comparing time to successful intubation between novice and expert laryngoscopists under three conditions, Normal Airway Lights on(NAL), Difficult Airway Lights on(DAL) and Difficult Airway Blackout(DAB), using manikins on a standard military transport stanchion and the floor with a minimal amount of setup time and extraneous light emission.Methods: A convenience sample size of 40 participants(24 novices and 16 experts) attempted intubation with each of the 5 different video laryngoscopic devices on high-fidelity airway manikins. Time to tracheal intubation and number of optimization maneuvers used were recorded. Kruskal-Wallis testing determined significant differences between the VAIDs in time to intubation for each particular scenario. Devices with significant differences underwent pair-wise comparison testing using rank-sum analysis to further clarify the difference. Device assembly times, startup times and the amount of light emitted were recorded. Perceived ease of use was surveyed. Results: Novices were fastest with the Pentax AWS in all difficult airway scenarios. Experts recorded the shortest median times consistently using 3 of the 5 devices. The AWS was superior overall in 4 of the 6 scenarios tested. Experts and novices subjectively judged the Glide Scope Ranger as easiest to use. The light emitted by all the devices was less than the USAF-issued headlamp.Conclusion: Novices intubated fastest with

关键词： simulation difficult airway novice expert military video laryngoscopy light emission

video Description with Integrated Visual and Textual Information

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China Communications 2019年第1期16卷 119-128页

作者： Yue Wang Jinlai Liu Xiaojie Wang Beijing University of Posts and Telecommunications

video Description aims to automatically generate descriptive natural language for videos.Due to the large volume of multi-modal data and successful implementations of Deep Neural Networks(DNNs),a wide range of models have been proposed.However,previous models learn insufficient linguistic information or correlation between visual and textual modalities.In order to address those problems,this paper proposes an integrated model using Long Short-Term Memory(LSTM).This proposed model consists of triple channels in parallel:a primary video description channel,a sentence-to-sentence channel for language learning,and a channel to integrate visual and textual information.Additionally,the parallel three channels are connected by LSTM weight matrices during training.The VD-ivt model is evaluated on two publicly available datasets,i.e.Youtube2 Text and LSMDC.Experimental results demonstrate that the performance of the proposed model outperforms those benchmarks.

关键词： video description(VD) deep neural network(DNN) convolutional neural network(CNN) long short-term memory(LSTM)

video tracking method for three-dimen-sional measurement of a free-swimming fish

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Science China(Physics,Mechanics & Astronomy) 2007年第6期50卷 779-786页

作者： WU GuanHao & ZENG LiJiang State Key Laboratory of Precision Measurement Technology and Instruments,Department of Precision Instruments,Tsinghua University,Beijing 100084,China State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instruments Tsinghua University Beijing China

A video system for tracking a free-swimming fish two-dimensionally is introduced in this paper. The tracking is accomplished by simultaneously taking images from the ventral view and the lateral view of the fish with two CCD cameras mounted on two computer-controlled and mutually orthogonal translation stages. By processing the images recorded during tracking,three-dimensional kinematic parameters of the tail and pectoral fin of the fish in forward,backward and turning swimming modes are obtained.

关键词： fish, tracking, kinematics, tail, pectoral fin A video system for tracking a free-swimming fish two-dimensionally is introduced in this paper. The tracking is accomplished by simultaneously taking images from the ventral view and the lateral view of the fish with two CCD cameras mounted on two computer-controlled and mutually orthogonal translation stages. By processing the images recorded during tracking, three-dimensional kinematic parameters of the tail and pectoral fin of the fish in forward, backward and turning swimming modes are obtained. ……

Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder

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Photonics Research 2021年第12期9卷 2464-2474页

作者： XIANGLEI LIU JOÃO MONTEIRO ISABELA ALBUQUERQUE YINGMING LAI CHENG JIANG SHIAN ZHANG TIAGO H.FALK JINYANG LIANG CentreÉnergie Matériaux Télécommunications Institut National de la Recherche ScientifiqueVarennesQuébec J3X1S2Canada State Key Laboratory of Precision Spectroscopy East China Normal UniversityShanghai 200062China

Single-shot 2 D optical imaging of transient scenes is indispensable for numerous areas of study.Among existing techniques,compressed optical-streaking ultrahigh-speed photography(COSUP)uses a cost-efficient design to endow ultrahigh frame rates with off-the-shelf CCD and CMOS cameras.Thus far,COSUP’s application scope is limited by the long processing time and unstable image quality in existing analytical-modeling-based video reconstruction.To overcome these problems,we have developed a snapshot-to-video autoencoder(S2 V-AE)—which is a deep neural network that maps a compressively recorded 2 D image to a movie.The S2 V-AE preserves spatiotemporal coherence in reconstructed videos and presents a flexible structure to tolerate changes in input data.Implemented in compressed ultrahigh-speed imaging,the S2 V-AE enables the development of single-shot machine-learning assisted real-time(SMART)COSUP,which features a reconstruction time of 60 ms and a large sequence depth of 100 frames.SMART-COSUP is applied to wide-field multiple-particle tracking at 20,000 frames per second.As a universal computational framework,the S2 V-AE is readily adaptable to other modalities in high-dimensional compressed sensing.SMART-COSUP is also expected to find wide applications in applied and fundamental sciences.

关键词： frames video overcome

PVSS:A Progressive Vehicle Search System for video Surveillance Networks

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Journal of Computer Science & Technology 2019年第3期34卷 634-644页

作者： Xin-Chen Liu Wu Liu Hua-Dong Ma Shuang-Qun Li Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and TelecommunicationsBeijing 100876China

This paper is focused on the task of searching for a specific vehicle that appears in the surveillance networks.Existing methods usually assume the vehicle images are well cropped from the surveillance videos,and then use visual attributes,like colors and types,or license plate numbers to match the target vehicle in the image set.However,a complete vehicle search system should consider the problems of vehicle detection,representation,indexing,storage,matching,and so on.Besides,it is very difficult for attribute-based search to accurately find the same vehicle due to intra-instance changes in different cameras and the extremely uncertain environment.Moreover,the license plates may be mis-recognized in surveillance scenes due to the low resolution and noise.In this paper,a progressive vehicle search system,named as PVSS,is designed to solve the above problems.PVSS is constituted of three modules:the crawler,the indexer,and the searcher.The vehicle crawler aims to detect and track vehicles in surveillance videos and transfer the captured vehicle images,metadata and contextual information to the server or cloud.Then multi-grained attributes,such as the visual features and license plate fingerprints,are extracted and indexed by the vehicle indexer.At last,a query triplet with an input vehicle image,the time range,and the spatial scope is taken as the input by the vehicle searcher.The target vehicle will be searched in the database by a progressive process.Extensive experiments on the public dataset from a real surveillance net work validate the effec tiveness of PVSS.

关键词： multi-modal data analysis progressive search system vehicle search video surveillance network