{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:15:50Z","timestamp":1757542550198,"version":"3.40.5"},"reference-count":12,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T00:00:00Z","timestamp":1634774400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,10,21]]},"abstract":"<jats:p>In this paper, the pulse wave feature alertness detection system based on computer software technology is researched. First, the computer software technology designs the alertness detection system and then conducts the system alertness test experiment using a system that can not affect the subjects\u2019 alertness, a portable multichannel physiological signal acquisition system that measures the subjects\u2019 ECG signal, skin resistance, blood oxygen saturation, and other physiological signals in the case of a degree task experiment. The multichannel physiological signal acquisition system collects the signals during the vigilance task experiment. At the same time, before, during, and after the experiment, subjects are required to fill in the Stanford Sleepiness Scale (SSS) and evaluate the level of individual alertness through subjective self-evaluation. The relevant experimental data show that, 10 minutes before the experiment, the pulse amplitude increased rapidly, then slowly decreased at the beginning, reached a peak in about 25 minutes, and then began to rise.<\/jats:p>","DOI":"10.1155\/2021\/3596095","type":"journal-article","created":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:07:45Z","timestamp":1634861265000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Design of Pulse Wave Feature Vigilance Detection System Based on Computer Software Technology"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5726-8644","authenticated-orcid":true,"given":"Yidong","family":"Zeng","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, Guangdong, China"},{"name":"Department of Medical Engineering, The 305 Hospital of PLA, Beijing 100017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5100-2143","authenticated-orcid":true,"given":"Jun","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, Guangdong, China"},{"name":"Department of Medical Engineering, The 305 Hospital of PLA, Beijing 100017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8410-4760","authenticated-orcid":true,"given":"Jinghua","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, The 305 Hospital of PLA, Beijing 100017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8577-5176","authenticated-orcid":true,"given":"Jiasuo","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Medical Engineering, The 305 Hospital of PLA, Beijing 100017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2383-2462","authenticated-orcid":true,"given":"Jie","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Medical Engineering, The 305 Hospital of PLA, Beijing 100017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5071-4800","authenticated-orcid":true,"given":"Youfa","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Medical Engineering, The 305 Hospital of PLA, Beijing 100017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"crossref","first-page":"47530","DOI":"10.1109\/ACCESS.2021.3068343","article-title":"A methodological review on prediction of multi-stage hypovigilance detection systems using multimodal features","volume":"9","author":"Q. 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