2015 News


New Database Added: MACECGDB

Dec. 18, 2015

The Motion Artifact Contaminated ECG Database contains short duration ECG signals recorded from a single healthy 25-year-old male performing different physical activities to study the effect of motion artifacts on ECG signals and their sparsity.

Read more: https://physionet.org/physiobank/database/macecgdb/


Database updated: Long-Term ST Database

Nov. 25, 2015

The kl-single-uncentralized subdirectory contains another new set of single lead KL basis functions for the ST segments, and their subsequent normalized and non-normalized KL coefficients. The set of clean heart beats from which the ST segments are extracted slightly differ from those of the previously derived 2011 KL dataset. More importantly, this time the KL coefficients are NOT centralized by their mean values.

Read more: https://physionet.org/physiobank/database/ltstdb/


New software package added to PhysioToolkit: Data Chromatix

Nov. 9, 2015

Data Chromatix is a technique for visualizing trends in biomedical signals by bringing memory of the system's past behavior into the current display window. This package was developed at the Wyss Institute at Harvard by A. Burykin, S. Mariani, T. Silva and T. Henriques, and is described in "Remembrance of time series past: simple chromatic method for visualizing trends in biomedical signals," Burykin A, Mariani S, Henriques T, Silva TF, Schnettler WT, Costa MD, Goldberger AL. Physiol Meas 2015;36(7):N95.

Read more: https://physionet.org/physiotools/dchromatix/


New software package added to PhysioToolkit: ECG-kit

Nov. 9, 2015

ECG-kit. This toolbox is a collection of MATLAB tools that Mariano Llamedo Soria used, adapted or developed during his PhD and post-doc work with the Besicos group at University of Zaragoza, Spain and at the National Technological University of Buenos Aires, Argentina. The main feature of this toolbox is that it allows the use of several popular algorithms for ECG processing, including: Algorithms from Physionet's WFDB software package; QRS detectors, such as gqrs, wqrs, wavedet, ecgpuwave, Pan and Tompkins, EP limited; Wavelet-based ECG delineator; Pulse wave detectors as wabp and wavePPG; and a2hbc and EP limited heartbeat classifiers.

Read more: https://physionet.org/physiotools/ecg-kit/


New Database Added: SHAREEDB

May 19, 2015

Smart Health for Assessing the Risk of Events via ECG (SHAREE database). The SHAREE database was developed in order to investigate the possibility of identifying hypertensive subjects at higher risk to develop vascular events based on Heart Rate Variability analysis. The database was created by Paolo Melillo, Raffaele Izzo, Ada Orrico, Paolo Scala, Marcella Attanasio, Marco Mirra, Nicola De Luca, and Leandro Pecchia as part of the "Smart Health and Artificial intelligence for Risk Estimation" (SHARE) project, which seeks ways to prevent cardiovascular events and falls in people over 65.

Read more: https://physionet.org/physiobank/database/shareedb/


New Database Added: EHGDB

May 9, 2015

Icelandic 16-electrode Electrohysterogram DataBase (EHGDB). A new dataset of 122 16-electrode EHG recordings performed on 45 pregnant Icelandic women has been published in PhysioBank. The data was contributed by Ásgeir Alexandersson, who performed the recordings at Akureyri Primary Health Care Centre, Akureyri Hospital and Landspitali University Hospital. A detailed description of the database has been published in Nature's new journal Scientific Data 2, Article number: 150017 (2015).

Read more: https://physionet.org/physiobank/database/ehgdb/


PhysioNet/CinC Challenge 2015

News from: Reducing False Arrhythmia Alarms in the ICU - The PhysioNet Computing in Cardiology Challenge 2015 v1.0.0.

Feb. 15, 2015

The PhysioNet/Computing in Cardiology Challenge 2015 is now open. This year's challenge is 'Reducing False Arrhythmia Alarms in the ICU'. False alarms in the ICU can lead to a disruption of care, impacting both the patient and the clinical staff through noise disturbances, desensitization to warnings and slowing of response times, leading to decreased quality of care. To address this issue, competitors are challenged to devise a method of processing all the available data to reduce false alarms with minimal or no effect on true (vital) alarms.

Read more: https://physionet.org/challenge/2015/


New software packages added to PhysioToolkit!

Jan. 31, 2015

Two new software packages have been added to PhysioToolkit! The first package, D3Maps, is a tool for visualizing the behavior of complex systems by means of the dynamical density delay mapping technique. This package was developed at the Wyss Institute by A. Burykin, L. Citi, M.D. Costa and A.L. Goldberger. The second software package, Multiscale Multifractal Analysis, is a time series analysis method designed to describe scaling properties of fluctuations within a signal. The software package was contributed by Jan Gierałtowski from Warsaw University of Technology.

Read more: https://physionet.org/news.shtml


PhysioNet approved as repository for Nature's Scientific Data!

Jan. 23, 2015

PhysioNet is pleased to announce that we are now an officially recommended reposito ry for the journal Scientific Data (SciData). SciData is an open-access, peer-reviewed publication from the Nature Publishing Group focusing on scientifically valuable research datasets. SciData's primary article-type, the Data Descriptor, is designed to make your data more discoverable, interpretable and reusable. Users who have contributed data to PhysioNet are now invited to submit their unpublished data as a Data Descriptor to Scientific Data! Pre-submission enquires are welcome at: scientificdata@nature.com.

Read more: https://physionet.org/news.shtml