Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Liangyou Chen"'
Publikováno v:
Medical Decision Making. 33:225-234
Background. For diagnostic processes involving continual measurements from a single patient, conventional test characteristics, such as sensitivity and specificity, do not consider decision consistency, which might be a distinct, clinically relevant
Publikováno v:
Shock. 34:455-460
It has been widely accepted that metrics related to respiration-induced waveform variation (RIWV) of the photoplethysmogram (PPG) have been associated with hypovolemia in mechanically ventilated patients and in controlled laboratory environments. In
Publikováno v:
Shock. 31:575-581
Respiratory rate (RR) is a basic vital sign, measured and monitored throughout a wide spectrum of health care settings, although RR is historically difficult to measure in a reliable fashion. We explore an automated method that computes RR only durin
Publikováno v:
Journal of Trauma: Injury, Infection & Critical Care. 65:915-923
Background: Prehospital severity scores can be used in routine prehospital care, mass casualty care, and military triage. If computers could reliably calculate clinical scores, new clinical and research methodologies would be possible. One obstacle i
Publikováno v:
Journal of Biomedical Informatics. 41:469-478
We present a classifier for use as a decision assist tool to identify a hypovolemic state in trauma patients during helicopter transport to a hospital, when reliable acquisition of vital-sign data may be difficult. The decision tool uses basic vital-
Publikováno v:
EMBC
We sought to better understand the physiology underlying the metrics of heart rate variability (HRV) in trauma patients without serious injury, compared to healthy laboratory controls. In trauma patients without serious injury (110 subjects, 470 2-mi
Publikováno v:
ACM SIGMOD Record. 33:58-64
Biological data analyses usually require complex manipulations involving tool applications, multiple web site navigation, result selection and filtering, and iteration over the internet. Most biological data are generated from structured databases an
Autor:
Maxim Y. Khitrov, Susan R. Wilcox, T. Denison, Jaques Reifman, Anne J. Blood, W. Doyle, Liangyou Chen, K. Wilkins, Andrew T. Reisner
Summary Background: Advanced decision-support capabilities for prehospital trauma care may prove effective at improving patient care. Such functionality would be possible if an analysis platform were connected to a transport vital-signs monitor. In p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a4a98510acca5fb149f31149158eb2
https://europepmc.org/articles/PMC3799209/
https://europepmc.org/articles/PMC3799209/
Publikováno v:
EMBC
Physiological waveform signals collected from unstructured environments are noisy, requiring automated algorithms to assess the reliability of the derived vital signs, such as heart rate (HR) and respiratory rate (RR), before they can be used for aut
Publikováno v:
Prehospital emergency care. 13(3)
We explored whether there are diagnostically useful temporal trends in prehospital vital signs of trauma patients.Vital signs were monitored during transport to a level I trauma center and electronically archived. Retrospectively, we identified relia