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Dual ultra-wideband(UWB)radar-based sleep posture recognition system:Towards ubiquitous sleep monitoring

再生工程(英文) 2023年第1期4卷 36-43页

作者： Derek Ka-Hei Lai Li-Wen Zha Tommy Yau-Nam Leung Andy Yiu-Chau Tam Bryan Pak-Hei So Hyo-Jung lim Daphne sze Ki Cheung Duo Wai-Chi Wong James Chung-Wai Cheung Department of Biomedical Engineering Faculty of EngineeringThe Hong Kong Polytechnic UniversityHong Kong 999077China Department of Bioengineering Imperial CollegeLondon SW72AZUnited Kingdom Research Institute of Smart Ageing The Hong Kong Polytechnic UniversityHong KongChina School of Nursing The Hong Kong Polytechnic UniversityHong KongChina

Sleep posture monitoring is an essential assessment for obstructive sleep apnea(OSA)*** objective of this study is to develop a machine learning-based sleep posture recognition system using a dual ultra-wideband radar *** collected radiofrequency data from two radars positioned over and at the side of the bed for 16 patients performing four sleep postures(supine,left and right lateral,and prone).We proposed and evaluated deep learning approaches that streamlined feature extraction and classification,and the traditional machine learning approaches that involved different combinations of feature extractors and *** results showed that the dual radar system performed better than either single *** statistical features with random forest classifier yielded the best accuracy(0.887),which could be further improved via an ablation study(0.938).Deep learning approach using transformer yielded accuracy of 0.713.

关键词： Obstructive sleep apnea Deep learning Sleep monitoring Feature extraction Ablation study

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系统级封装(SiP)组装技术与锡膏特性

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电子工业专用设备 2021年第2期50卷 67-70页

作者： sze Pei lim Kenneth Thum Andy Mackie David Hu 铟泰公司美国纽约州克林顿13323 铟泰公司江苏苏州215126

由于物联网“智慧”设备的快速发展,业界对能够在更小的封装内实现更多功能的系统级封装(SiP)器件的需求高涨[1],这种需求将微型化趋势推向了更高的层次:使用更小的元件和更高的密度来进行组装。无源元件尺寸已从01005(0.4 mm×0.2 mm)... 详细信息

由于物联网“智慧”设备的快速发展,业界对能够在更小的封装内实现更多功能的系统级封装(SiP)器件的需求高涨[1],这种需求将微型化趋势推向了更高的层次:使用更小的元件和更高的密度来进行组装。无源元件尺寸已从01005(0.4 mm×0.2 mm)缩小到008004(0.25 mm×0.125 mm),细间距锡膏印刷对SiP的组装来说变得越来越有挑战性。对使用不同助焊剂和不同颗粒尺寸锡粉的3种锡膏样本进行了研究;同时通过比较使用平台和真空的板支撑系统,试验了是否可以单独使用平台支撑来获得一致性较好的印刷工艺;并比较了激光切割和电铸钢网在不同开孔尺寸下的印刷结果。

关键词：系统级封装(SiP) 锡膏锡粉微型化

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系统级封装(SiP)组装技术与锡膏特性(续)

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电子工业专用设备 2021年第3期50卷 65-69页

作者： sze Pei lim Kenneth Thum Andy Mackie David Hu 铟泰公司美国纽约州克林顿13323 铟泰公司江苏苏州215126

4结果和讨论4.1焊盘间的桥接结果比较表明,使用不同的治具配置有明显的区别。使用平台治具作为板支撑的激光切割钢网在80μm间隙的情况下未发现桥接。使用真空支撑时,激光切割钢网在50μm间隙的情况下也未发现桥接。这说明使用真空支撑... 详细信息

4结果和讨论4.1焊盘间的桥接结果比较表明,使用不同的治具配置有明显的区别。使用平台治具作为板支撑的激光切割钢网在80μm间隙的情况下未发现桥接。使用真空支撑时,激光切割钢网在50μm间隙的情况下也未发现桥接。这说明使用真空支撑在印刷时的钢网和电路板间间隙更小,支撑性能更好。图5显示了其在125μm×150μm焊盘(1∶1)和50μm焊盘间隙条件下的印刷效果。

关键词：组装技术激光切割桥接印刷效果焊盘锡膏钢网治具

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Corrigendum to‘Dual ultra-wideband(UWB)radar-based sleep posture recognition system:Towards ubiquitous sleep monitoring’[Engineered Regeneration 4(2023)36-43]

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再生工程(英文) 2023年第2期4卷 223-223页

作者： Derek Ka-Hei Lai Li-Wen Zha Tommy Yau-Nam Leung Andy Yiu-Chau Tam Bryan Pak-Hei So Hyo Jung lim Daphne sze Ki Cheung Duo Wai-Chi Wong James Chung-Wai Cheung Department of Biomedical Engineering Faculty of EngineeringThe Hong Kong Polytechnic UniversityHong Kong 999077China Department of Bioengineering Imperial CollegeLondon SW72AZUnited Kingdom Research Institute of Smart Ageing The Hong Kong Polytechnic UniversityHong KongChina School of Nursing The Hong Kong Polytechnic UniversityHong KongChina

The authors regret that the name of the ethic committee that approved the study and the reference number was omitted from the published *** this research,all participants signed an informed consent after receiving an oral and written description of the experiment before the start of the *** study was approved by the Human Subjects Ethics HSEARS20210127007.

关键词： Engine wideband UWB

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DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery

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Genomics, Proteomics & Bioinformatics 2020年第2期18卷 104-119页

作者： Tiansheng Zhu Yi Zhu Yue Xuan Huanhuan Gao Xue Cai Sander R.Piersma Thang V.Pham Tim Schelfhorst Richard R.G.D.Haas Irene V.Bijnsdorp Rui Sun Liang Yue Guan Ruan Qiushi Zhang Mo Hu Yue Zhou Winan J.Van Houdt Tessa Y.S.Le Large Jacqueline Cloos Anna Wojtuszkiewicz Danijela Koppers-Lalic Franziska Bottger Chantal Scheepbouwer Ruud H.Brakenhoff Geert J.L.H.van Leenders Jan N.M.Ijzermans John W.M.Martens Renske D.M.Steenbergen Nicole C.Grieken Sathiyamoorthy Selvarajan Sangeeta Mantoo sze S.Lee Serene J.Y.Yeow Syed M.F.Alkaff Nan Xiang Yaoting Sun Xiao Yi Shaozheng Dai Wei Liu Tian Lu Zhicheng Wu Xiao Liang Man Wang Yingkuan Shao Xi Zheng Kailun Xu Qin Yang Yifan Meng Cong Lu Jiang Zhu Jin'e Zheng Bo Wang Sai Lou Yibei Dai Chao Xu Chenhuan Yu Huazhong Ying Tony K.lim Jianmin Wu Xiaofei Gao Zhongzhi Luan Xiaodong Teng Peng Wu Shi'ang Huang Zhihua Tao Narayanan G.Iyer Shuigeng Zhou Wenguang Shao Henry Lam Ding Ma Jiafu Ji Oi L.Kon Shu Zheng Ruedi Aebersold Connie R.Jimenez Tiannan Guo Zhejiang Provincial Laboratory of Life Sciences and Biomedicine Westlake UniversityHangzhou 310024China Key Laboratory of Structural Biology of Zhejiang Province School of Life SciencesWestlake UniversityHangzhou 310024China Institute of Basic Medical Sciences Westlake Institute for Advanced StudyHangzhou 310024China School of Computer Science Shanghai Key Laboratory of Intelligent Information ProcessingFudan UniversityShanghai 200433China Thermo Fisher Scientific(BREMEN)GmbH Bremen 28195Germany OncoProteomics Laboratory Department of Medical OncologyVU University Medical CenterVU UniversityAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamUrologyCancer Center AmsterdamAmsterdam 1011The Netherlands Thermo Fisher Scientific Shanghai 201206China The Netherlands Cancer Institute Surgical OncologyAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamSurgeryCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamPediatric Oncology/HematologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamHematologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamMedical OncologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamNeurosurgeryCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamPathologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamOtolaryngology/Head and Neck SurgeryCancer Center AmsterdamAmsterdam 1011The Netherlands Erasmus MC University Medical Center PathologyRotterdam 1016LVThe Netherlands Erasmus MC University Medical Center SurgeryRotterdam 1016LVThe Netherlands Erasmus MC University Medical Center Medical OncologyRotterdam 1016LVThe Netherlands Department of Anatomical Pathology Singapore General HospitalSingapore 169608Singapore Division of Medical Scie

To address the increasing need for detecting and validating protein biomarkers in clinical specimens,mass spectrometry(MS)-based targeted proteomic techniques,including the selected reaction monitoring(SRM),parallel reaction monitoring(PRM),and massively parallel dataindependent acquisition(DIA),have been *** optimal performance,they require the fragment ion spectra of targeted peptides as prior *** this report,we describe a MS pipeline and spectral resource to support targeted proteomics studies for human tissue *** build the spectral resource,we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on *** then applied the workflow to generate DPHL,a comprehensive DIA pan-human library,from 1096 data-dependent acquisition(DDA)MS raw files for 16 types of cancer *** extensive spectral resource was then applied to a proteomic study of 17 prostate cancer(PCa)***,PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was *** a second application,the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma(DLBCL)patients and 18 healthy control *** expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by *** data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker *** is freely accessible at https://***/page/***?id=IPX0001400000.

关键词： Data-independent acquisition Parallel reaction monitoring Spectral library Prostate cancer Diffuse large B cell lymphoma

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