News from: Multimodal Physiological Monitoring During Virtual Reality Piloting Tasks v1.0.0.
Sept. 8, 2022
We are pleased to announce the publication of a dataset comprising multimodal physiologic, flight performance, and user interaction data streams, collected as participants performed virtual-reality flight tasks of varying difficulty.
With over an hour of highly multimodal physiological and behavioral signals collected on each of the thirty-five participants, the dataset represents a unique opportunity to develop analytics and models linking an individual’s physiology to their behavior and performance in tasks of varying difficulty.
More data are being collected and will be uploaded to PhysioNet periodically. The data underpins the CogPilot Data Challenge, which explores how performance measurements and physiological data can be used to assess the competency of student pilots. To participate in the CogPilot Challenge, visit: https://pilotperformance.mit.edu/
News from: MIMIC-IV Waveform Database v0.1.0.
Aug. 9, 2022
We are pleased to announce an initial release of a version (0.1.0) of the MIMIC-IV-Waveform module. These waveforms are a rich source of patient information - including ECG, PPG, and Blood Pressure signals - and can be linked to the clinical information in MIMIC-IV. This initial release contains 200 records from 198 patients. An upcoming release will include around 10,000 records.
The dataset was the subject of a workshop at IEEE EMBC in July of 2022, led by Peter Charlton, which demonstrated how to use the WFDB-Python package to extract and analyze waveform features. Executable notebooks and tutorial materials are available at: https://mimic.mit.edu/docs/iv/tutorials/waveform/ieee_workshop/ .
July 29, 2022
Gari Clifford and Matthew Reyna from Emory University and Elaine Nsoesie from Boston University recently published an invited viewpoint in The Journal of the American Medical Association on "Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine". The viewpoint focuses on how we often use the wrong optimization targets when applying machine learning to medical data, and how we can address this issue, and is part of the Gordon and Betty Moore Foundation's broader series on Diagnostic Excellence.
July 17, 2022
Our servers at MIT are undergoing and testing and maintenance work between Friday 15th and Monday 18th July 2022. PhysioNet (https://physionet.org/) will remain active during this period, but some services may be affected (for example, the archive website https://archive.physionet.org/).
June 30, 2022
Linking an ORCID to your PhysioNet profile can help us to quickly verify your identity, speeding up the process of gaining access to datasets such as MIMIC.
When reviewing an ORCID profile, we look out for “Trust Markers” which are pieces of information added to the profile by groups such publishers and employers.
To find out more about how PhysioNet is working with ORCID, see their blog post on how we are using the Trust Markers to streamline the data credentialing process.
Read more: https://info.orcid.org/a-use-case-for-trust-markers-in-orcid-records-streamlining-the-credentialing-process/