AI-enabled Sensor-related Technologies for Physiological Monitoring Designed to Advance Emergency Medical Care
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 443
Special Issue Editors
Interests: wearable sensing; physiological monitoring; machine learning for health; digital health; seismocardiography
Special Issues, Collections and Topics in MDPI journals
Interests: integrative systemic physiology; combat casualty care; physiological monitoring; emergency medicine; trauma; shock; hemorrhage; sepsis
Special Issues, Collections and Topics in MDPI journals
Interests: wearable sensors; physiology; medical monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Low circulating blood volume (hypovolemia) resulting from hemorrhage and other life-threatening conditions (e.g., dehydration, heat stress, infection, diarrhea) represent leading causes of compromised health and death globally in both civilian and military settings. Sensors designed to provide feedback to caregivers on patient status and/or the effectiveness of interventions for the control of blood loss and/or guiding accurate fluid resuscitation represent a critical aspect for optimizing patient care. The focus of this Special Issue is to provide descriptions of novel sensing technologies combined with machine-learning algorithms that are currently being developed to advance medical decision support during the critical early stages of emergency care.
You may choose our Joint Special Issue in Biosensors.
Prof. Dr. Omer T Inan
Prof. Dr. Victor A Convertino
Dr. Sylvain Cardin
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- hemorrhage
- physiological monitoring
- machine learning
- biofeedback
- decision support
- goal-directed resuscitation
