2017 News

New Research Approach

Dec. 13, 2017

Drs. Madalena Costa and Ary Goldberger, members of the PhysioNet team, have recently published an article in Science Trends about heart rate fragmentation. Heart rate fragmentation is a new approach to conceptualizing and measuring heart rate dynamics. The article provides links to two studies recently published in the journal Frontiers in Physiology.

Read more: https://sciencetrends.com/fragmentation-heartbeat-probing-breakdown-biologic-time-aging-disease/

Slides describing the results of the 2017 PhysioNet/CinC Challenge

News from: AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0.

Oct. 23, 2017

Slides presented at Computing in Cardiology in Rennes, France on the 26th-27th September 2017, and at the Annual Data Institute Conference at the USF Data Science Institute, San Francisco, CA, USA on the 17th October 2017 can be found here .

New Database Added: TAPPY

Oct. 20, 2017

The dataset contains keystroke logs collected from over 200 subjects, with and without Parkinson's Disease (PD), as they typed normally on their own computer (without any supervision) over a period of weeks or months (having initially installed a custom keystroke recording app, Tappy). This dataset has been collected and analyzed in order to indicate that the routine interaction with computer keyboards can be used to detect changes in the characteristics of finger movement in the early stages of PD.

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

New Database Added: WRIST

Oct. 20, 2017

This database contains wrist PPGs recorded during walking, running and bike riding. Simultaneous motion estimates are collected using both accelerometers and gyroscopes to give multiple options for the removal of motion interference from the PPG traces. A reference chest ECG is included to allow a gold-standard comparison of heart rate during exercise.

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

Performance of algorithms in the 2017 PhysioNet/CinC Challenge

News from: AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0.

Oct. 10, 2017

A more detailed breakdown of performance of each official algorithm is now available here.

Official results for the 2017 PhysioNet/CinC Challenge

News from: AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0.

Oct. 10, 2017

The official results are now available, as well as a summary paper of the Challenge.

New Database Added: PMD

Sept. 28, 2017

The Pressure Map Dataset for In-bed Posture Classification database contains in-bed posture pressure data from multiple adult participants using two different types of pressure sensing mats.

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

Winners announced for the 2017 PhysioNet/CinC Challenge

News from: AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0.

Sept. 27, 2017

Winners were announced at Computing in Cardiology 2017 in Rennes, France! Four teams were tied for first place, with an overall score of 0.83:

  • Shreyasi Datta, Chetanya Puri, Ayan Mukherjee, Rohan Banerjee, Anirban Dutta Choudhury, Arijit Ukil, Soma Bandyopadhyay, Rituraj Singh, Arpan Pal, and Sundeep Khandelwal
  • Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, and Junqing Xie
  • Tomás Teijeiro, Constantino A. García, Paulo Félix, and Daniel Castro
  • Morteza Zabihi, Ali Bahrami Rad, Aggelos K. Katsaggelos, Serkan Kiranyaz, Susanna Narkilahti, and Moncef Gabbouj

New Database Added: OSV

Sept. 27, 2017

The Pattern Analysis of Oxygen Saturation Variability database contains one hour oxygen saturation measurements of 36 patients, used for the analysis of oxygen saturation variability.

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

New Database Added: EARH

Sept. 26, 2017

The Evoked Auditory Responses in Hearing Impaired database contains evoked Auditory Brainstem Response (ABR) and Otoacoustic Emission (OAE) recordings in eight hearing impaired listeners, in response to tone-burst stimuli across a wide range of levels.

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

New Database Added: Quantitative Dehydration Estimation

Aug. 10, 2017

The database contains bioimpedance measurements, temperature measurements, salivary samples, and sweat samples, used in quantitative estimation of dehydration (total body water loss).

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

New Database Added: MIMIC-III Waveform Database

Aug. 9, 2017

The MIMIC-III Waveform Database has been released, containing our largest collection to date of physiologic signals collected by bedside patient monitors in adult and neonatal intensive care units. Over 44,000 recordings have been added to the existing MIMIC-II Waveform Database, for a total of over 67,000 recordings and over three million hours of waveform data. For about one third of the database (about 22,000 recordings from 10,000 patients), extensive clinical information is also available to qualified researchers via the MIMIC-III Clinical Database.

Read more: https://physionet.org/physiobank/database/mimic3wdb/

New Database Added: A Non-EEG Dataset for Assessment of Neurological Status

July 19, 2017

The database contains non-EEG physiological signals collected at Quality of Life Laboratory at University of Texas at Dallas, used to infer the neurological status of 20 healthy subjects. The data collected consists of electrodermal activity, temperature, acceleration, heart rate, and arterial oxygen level.

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

New Database Added: University of Cagliari ElectroTastegram Database (PROP)

July 19, 2017

The University of Cagliari electroTastegram database contains 39 differential biopotential measurements recorded from the tongues of as many healthy voluntary human subjects (16 males, 23 females, equally divided into the three PROP taster status classes), during a stimulation with 30uL, 3.2 mmol/L solution of 6-n-propylthiouracil (PROP).

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

New Database Added: Shiraz University Fetal Heart Sounds Database

July 19, 2017

The Shiraz University fetal heart sounds database contains fetal and maternal PCG recordings from 109 pregnant women.

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

New Research Article

May 23, 2017

Members of the PhysioNet team have recently described fragmentation analysis, a new conceptual and methodologic approach to short-term heart rate variability. See Frontiers in Physiology for full text.

Read more: http://journal.frontiersin.org/article/10.3389/fphys.2017.00255/full

New Database Added: EEG Signals from an RSVP Task

May 19, 2017

The EEG Signals from an RSVP Task database contains EEG data from 11 healthy participants upon rapid presentation of images through the Rapid Serial Visual Presentation (RSVP) protocol at speeds of 5, 6, and 10 Hz.

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

New Database Added: Tai Chi, Physiological Complexity, and Healthy Aging-Gait

May 11, 2017

The Tai Chi, Physiological Complexity, and Healthy Aging-Gait database contains two-channel gait recordings of 87 older adults from the Greater Boston area. Subjects were from a hybrid study design that included a two-arm randomized clinical trial (RCT) along with an additional observational comparison group.

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

National Sleep Research Resource

Feb. 14, 2017

The National Sleep Research Resource (NSRR) has expanded its research databases and tools, as well as launching a series of tutorials on their use. The NSRR is supported by the National Heart, Lung, and Blood Institute (NHLBI) of the NIH.

Read more: https://sleepdata.org/

New Database Added: Preterm Infant Cardio-Respiratory Signals Database

Feb. 9, 2017

The Preterm Infant Cardio-respiratory Signals (PICS) database contains simultaneous ECG and respiration recordings of ten preterm infants collected from the Neonatal Intensive Care Unit (NICU) of the University of Massachusetts Memorial Healthcare.

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

PhysioNet/CinC Challenge 2017

News from: AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0.

Feb. 1, 2017

We are excited to announce the opening of the annual PhysioNet/Computing in Cardiology Challenge for 2017: AF Classification from a short single lead ECG recording. A database of over 10,000 ECG recordings is being made freely available exclusively for this competition by AliveCor, and represent a serendipitous sample of patient-initiated recordings of one minute or less. They have all been labeled for rhythm by hand into one of four categories: Normal, Atrial Fibrillation, Other Rhythm or Too Noisy to Process. We challenge the public to develop the most accurate classifier of these data into these four categories. As usual, a portion of these data have been hidden from the public to allow us to objectively assess your algorithms.

Read more: https://physionet.org/challenge/2017/

New Database Added: STAFF-III Database

Jan. 31, 2017

The STAFF-III database was acquired during 1995-96 at Charleston Area Medical Center (WV, USA) where single prolonged balloon inflation had been introduced to achieve optimal results of percutaneous transluminal coronary angiography (PTCA) procedures, replacing the typical series of brief inflations. The database consists of standard 12-lead ECG recordings from 104 patients.

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

New Database Added: CHARIS Database

Jan. 19, 2017

The CHARIS database contains multi-channel recordings of ECG, arterial blood pressure (ABP), and intracranial pressure (ICP) of patients diagnosed with traumatic brain injury (TBI). The data is contributed by members of the CHARIS project which aims to systematize the analysis of relevant physiological signals, and create data-driven algorithms to search for potential predictors of acute clinical events for patients with acute brain injury.

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