A practical approach to storage and retrieval of high-frequency physiological signals
Objective: Storage of physiological waveform data for retrospective analysis presents
significant challenges. Resultant data can be very large, and therefore becomes expensive …
significant challenges. Resultant data can be very large, and therefore becomes expensive …
Using “off-the-shelf” tools for terabyte-scale waveform recording in intensive care: computer system design, database description and lessons learned
A Burykin, T Peck, TG Buchman - Computer methods and programs in …, 2011 - Elsevier
Until now, the creation of massive (long-term and multichannel) waveform databases in
intensive care required an interdisciplinary team of clinicians, engineers and informaticians …
intensive care required an interdisciplinary team of clinicians, engineers and informaticians …
A scalable realtime analytics pipeline and storage architecture for physiological monitoring big data
V Baljak, A Ljubovic, J Michel, M Montgomery… - Smart Health, 2018 - Elsevier
Physiological monitors produce data essential to patient care. While the data is routinely
observed and used at the bedside, it is rarely recorded permanently. Majority of data …
observed and used at the bedside, it is rarely recorded permanently. Majority of data …
Large-scale physiological waveform retrieval via locality-sensitive hashing
YB Kim, UM O'Reilly - … Conference of the IEEE Engineering in …, 2015 - ieeexplore.ieee.org
We propose a fast, scalable locality-sensitive hashing method for the problem of retrieving
similar physiological waveform time series. When compared to the naive k-nearest neighbor …
similar physiological waveform time series. When compared to the naive k-nearest neighbor …
On line extraction of temporal episodes from ICU high-frequency data: a visual support for signal interpretation
S Charbonnier - Computer methods and programs in biomedicine, 2005 - Elsevier
This paper presents a method to extract on line temporal episodes from high-frequency
physiological parameters monitored in ICU, as a visual support for signal interpretation …
physiological parameters monitored in ICU, as a visual support for signal interpretation …
ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
JM Boss, G Narula, C Straessle, J Willms… - Journal of the …, 2022 - academic.oup.com
ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data,
online and historical data visualization, and online validation of algorithms in the intensive …
online and historical data visualization, and online validation of algorithms in the intensive …
Htidb: Hierarchical time-indexed database for efficient storage and access to irregular time-series health sensor data
With the enormous amount of data collected by unobtrusive sensors, the potential of utilizing
these data and applying various multi-modal advanced analytics on them is numerous and …
these data and applying various multi-modal advanced analytics on them is numerous and …
PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research
GB Moody, RG Mark… - 2011 Annual International …, 2011 - ieeexplore.ieee.org
PhysioNet provides free web access to over 50 collections of recorded physiologic signals
and time series, and related open-source software, in support of basic, clinical, and applied …
and time series, and related open-source software, in support of basic, clinical, and applied …
Robust detection of heart beats in multimodal data: the physionet/computing in cardiology challenge 2014
G Moody, B Moody, I Silva - Computing in Cardiology 2014, 2014 - ieeexplore.ieee.org
The 15th annual PhysioNet/CinC Challenge aims to encourage the exploration of robust
methods for locating heart beats in continuous long-term data from bedside monitors and …
methods for locating heart beats in continuous long-term data from bedside monitors and …
An exploratory data quality analysis of time series physiologic signals using a large-scale intensive care unit database
Physiological data, such as heart rate and blood pressure, are critical to clinical decision-
making in the intensive care unit (ICU). Vital signs data, which are available from electronic …
making in the intensive care unit (ICU). Vital signs data, which are available from electronic …