乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T15:19:43Z","timestamp":1742397583714,"version":"3.32.0"},"reference-count":36,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2020,11,14]],"date-time":"2020-11-14T00:00:00Z","timestamp":1605312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Science and Technology Major Project","award":["No. 2018ZX01031201"]},{"name":"the National key research and development program","award":["No. 2018YFC2001100"]},{"name":"Key Program of the Chinese Academy of Sciences","award":["No. KFZD-SW-218"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"Pulse wave signal sensed over the radial artery on the wrist is a crucial physiological indicator in disease diagnosis. The sensor array composed of multiple sensors has the ability to collect abundant pulse wave information. As a result, it has gradually attracted the attention of practitioners. However, few practical methods are used to obtain a one-dimensional pulse wave from the sensor array\u2019s spatial multi-dimensional signals. The current algorithm using pulse wave with the highest amplitude value as the significant data suffers from low consistency because the signal acquired each time differs significantly due to the sensor\u2019s relative position shift to the test area. This paper proposes a processing method based on time series similarity, which can take full advantage of sensor arrays\u2019 spatial multi-dimensional characteristics and effectively avoid the above factors\u2019 influence. A pulse wave acquisition system (PWAS) containing a micro-electro-mechanical system (MEMS) sensor array is continuously extruded using a stable dynamic pressure input source to simulate the pulse wave acquisition process. Experiments are conducted at multiple test locations with multiple data acquisitions to evaluate the performance of the algorithm. The experimental results show that the newly proposed processing method using time series similarity as the criterion has better consistency and stability.<\/jats:p>","DOI":"10.3390\/a13110297","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T16:04:20Z","timestamp":1605542660000},"page":"297","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Multi-Dimensional Composition Method Based on Time Series Similarity for Array Pulse Wave Signals Detecting"],"prefix":"10.3390","volume":"13","author":[{"given":"Hongjie","family":"Zou","sequence":"first","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]},{"given":"Yitao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]},{"given":"Chuanglu","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]},{"given":"Xingguang","family":"Geng","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]},{"given":"Shaolong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]},{"given":"Haiying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Beijing Key Laboratory for Next Generation RF Communication Chip Technology, Beijing 100029, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Chirakanphaisarn, N., Thongkanluang, T., and Chiwpreechar, Y. 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