ICASP: An Intensive-Care Acquisition and Signal Processing Integrated Framework

Abstract

This paper presents an intensive-care acquisition and signal processing integrated framework in the area of intensive care units. The framework includes nearly all monitored biosignals in the intensive care, along with metadata and processing results. It is structured on two basic applications, i.e., the acquisition and the database one, running in two different PCs that are connected through a local area network, facilitating real-time data exchange between them. The analytical rundown shows that the proposed framework is a serious effort to give a complete clinical condition of a patient and a form of a diagnostic analysis implement in the intensive care by taking in real-time processing.

Big Data Analytics in Healthcare

“…Research community has interest in consuming data captured from live monitors for developing continuous monitoring technologies [94,95]. There have been several indigenous and off-the-shelf efforts in developing and implementing systems that enable such data capture [85,[96][97][98][99]. There are also products being developed in the industry that facilitate device manufacturer agnostic data acquisition from patient monitors across healthcare systems.…”

Big Data Analytics for Healthcare

“…There have been several indigenous and off-the-shelf efforts in developing and implementing systems that enable such data capture [85,[96][97][98][99]. There are also products being developed in the industry that facilitate device manufacturer agnostic data acquisition from patient monitors across healthcare systems.…”

Ανάλυση Αναπνευστικών Ήχων Με Χρήση Μη Γραμμικών Μεθόδων Επεξεργασίας Σήματος

“…Η αξιολόγηση της μεθόδου μέσω της ευαισθησίας και της ειδικότητας γίνεται ξεχωριστά για την εισπνευστική και την εκπνευστική φάση σύμφωνα με τις Σχέσεις 4.14 και 4.15. Για το λόγο αυτό, χρησιμοποιείται ένας αλγόριθμος ανίχνευσης της αναπνευστικής φάσης [87], σύμφωνα με τον οποίο η αναπνευστική ροή μηδενικής μέσης τιμής αποτελεί τη βάση για την ανίχνευση των φάσεων του αναπνευστικού συμβάλλοντας στη σωστή κατηγοριοποίηση των αντίστοιχων δεικτών απόδοσης της μεθόδου.…”