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International Journal of Electrical and Computer Engineering ; 13(1):358-373, 2023.
Article in English | Scopus | ID: covidwho-2203589

ABSTRACT

This work proposes a computational algorithm which extracts the frequency, timings and signal segments corresponding to respiratory phases, through buccal and nasal acoustic signal processing. The proposal offers a computational solution for medical applications which require on-site or remote patient monitoring and evaluation of pulmonary pathologies, such as coronavirus disease 2019 (COVID-19). The state of the art presents a few respiratory evaluation proposals through buccal and nasal acoustic signals. Most proposals focus on respiratory signals acquired by a medical professional, using stethoscopes and electrodes located on the thorax. In this case the signal acquisition process is carried out through the use of a low cost and easy to use mask, which is equipped with strategically positioned and connected electret microphones, to maximize the proposed algorithm's performance. The algorithm employs signal processing techniques such as signal envelope detection, decimation, fast Fourier transform (FFT) and detection of peaks and time intervals via estimation of local maxima and minima in a signal's envelope. For the validation process a database of 32 signals of different respiratory modes and frequencies was used. Results show a maximum average error of 2.23% for breathing rate, 2.81% for expiration time and 3.47% for inspiration time. © 2023 Institute of Advanced Engineering and Science. All rights reserved.

6.
Current Research in Biotechnology ; 2021.
Article in English | ScienceDirect | ID: covidwho-1213124

ABSTRACT

The open innovation hub Digital Health and Patient Safety Platform (DHPSP) was recently established with the purpose to invigorate collaborative scientific research and the development of new digital products and personalized solutions aiming to improve human health and patient safety. In this study, we evaluated the effectiveness of a Twitter-based campaign centered on using the hashtag #DHPSP to promote the visibility of the DHPSP initiative. Thus, tweets containing #DHPSP were monitored for five weeks for the period 20.10.2020-24.11.2020 and were analyzed with Symplur Signals (social media analytics tool). In the study period, a total of 11,005 tweets containing #DHPSP were posted by 3,020 Twitter users, generating 151,984,378 impressions. Analysis of the healthcare stakeholder-identity of the Twitter users who used #DHPSP revealed that the most of participating user accounts belonged to individuals or doctors, with the top three user locations being the United States (501 users), the United Kingdom (155 users), and India (121 users). Analysis of co-occurring hashtags and the full text of the posted tweets further revealed that the major themes of attention in the #DHPSP Twitter-community were related to the coronavirus disease 2019 (COVID-19), medicine and health, digital health technologies, and science communication in general. Overall, these results indicate that the #DHPSP initiative achieved high visibility and engaged a large body of Twitter users interested in the DHPSP focus area. Moreover, the conducted campaign resulted in an increase of DHPSP member enrollments and website visitors, and new scientific collaborations were formed. Thus, Twitter campaigns centered on a dedicated hashtag prove to be a highly efficient tool for visibility-promotion, which could be successfully utilized by healthcare-related open innovation platforms or initiatives.

7.
F1000Res ; 102021.
Article in English | MEDLINE | ID: covidwho-1110756

ABSTRACT

This editorial summarises the organisation, activities, and scientific content of the 6th European Student Council Symposium (ESCS) organised by the International Society for Computational Biology Student Council (ISCB-SC). The event was held on September 6, 2020, as a satellite event preceding the ISCB's  19th European Conference in Computational Biology. Both events were first planned to be held in-person in Sitges, Spain, but moved virtually as a strategy to face the SARS-CoV2 sanitary crisis. This completely unforeseen situation has posed several challenges that have been successfully addressed thanks to the robust ISCB Student Council community structure and the strong commitment of the organisers. Despite all the obstacles and challenges, we have found that virtuality has several advantages that can continue to be kept to improve in-person meetings in the future and make conferences more inclusive allowing a larger audience to participate.


Subject(s)
COVID-19 , RNA, Viral , Computational Biology , Humans , SARS-CoV-2 , Students
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