Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN

Autor: Zhu Wang, Tianben Wang, Yanchun Zhang, Hua Wang, Xingshe Zhou, Jinli Cao, Fan Liu

Publikováno v: IEEE Transactions on Knowledge and Data Engineering. 34:2626-2640

Quasi-periodic time series (QTS) exists widely in the real world, and it is important to detect the anomalies of QTS. In this paper, we propose an automatic QTS anomaly detection framework (AQADF) consisting of a two-level clustering-based QTS segmen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06f006dae87b02d983bbb90bb0a3a6ba
https://doi.org/10.1109/tkde.2020.3014806

C-FMCW Based Contactless Respiration Detection Using Acoustic Signal

Autor: Xingshe Zhou, Tianben Wang, Bernadette Dorizzi, Daqing Zhang, Tao Gu, Yuanqing Zheng

Publikováno v: Proceedings IMWUT 2017: Interactive, Mobile, Wearable and Ubiquitous Technologies (ISWC 2017 and UBICOMP 2017)
IMWUT 2017: Interactive, Mobile, Wearable and Ubiquitous Technologies (ISWC 2017 and UBICOMP 2017)
IMWUT 2017: Interactive, Mobile, Wearable and Ubiquitous Technologies (ISWC 2017 and UBICOMP 2017), Sep 2017, Maui, Hawaii, United States. pp.Article 170-, ⟨10.1145/3161188⟩

International audience; Recent advances in ubiquitous sensing technologies have exploited various approaches to monitoring vital signs. One of the vital signs is human respiration which typically requires reliable monitoring with low error rate in pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945115e07b5095ccbff70e66c89af6f5
https://doi.org/10.1145/3161188

Recognizing Parkinsonian Gait Pattern by Exploiting Fine-Grained Movement Function Features

Autor: Jing Lv, Zhu Wang, Tao Gu, Tianben Wang, Daqing Zhang, Hongbo Ni, Jiangbo Jia, Xingshe Zhou

Publikováno v: ACM Transactions on Intelligent Systems and Technology
ACM Transactions on Intelligent Systems and Technology, ACM, 2016, 8 (1), pp.6:1-6:22. ⟨10.1145/2890511⟩

International audience; Parkinson's disease (PD) is one of the typical movement disorder diseases among elderly people, which has a serious impact on their daily lives. In this article, we propose a novel computation framework to recognize gait patte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d94f2b905918686c1fa1bda85c9e474c
https://doi.org/10.1145/2890511

Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features

Autor: Tianben Wang, Zhu Wang, Yanchun Zhang, Xingshe Zhou, Fan Liu

Publikováno v: ICPR

Hypertension is a common cardiovascular disease, which will lead to severe complications without timely treatment. Accurate hypertension identification is essential to preventing the condition deteriorated. However, the state of art hypertension iden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72d231cea9b406d7edb577eaaf0677b3
https://doi.org/10.1109/icpr.2018.8545326

Identifying Obstructive Sleep Apnea by Exploiting Fine-Grained BCG Features Based on Event Phase Segmentation

Autor: Hongbo Ni, Zhu Wang, Xingshe Zhou, Fan Liu, Jun Yang, Tianben Wang

Publikováno v: BIBE

Obstructive sleep apnea (OSA) is regarded as one of the most common sleep-related breathing disorders, which causes various diseases and affects people's daily life severely. Up to now, massive efforts have been devoted to identifying OSA events duri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac866461ce3d084944d07b371927a077
https://doi.org/10.1109/bibe.2016.45