This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. A primary goal of the Research Resource is to facilitate the archiving of data within the physiologic and medical science communities. We have discovered that many small, medium, and even some large sized studies do not appropriately archive data during or after collection. As a result, invaluable information is lost and the value of reported findings is degraded. We believe the state of data archiving is due to a lack of recognition of the problem within the community, paired with the absence of appropriate and usable software. As a remedy, we have been developing a software platform for online, prospective, and collaborative archiving of physiologic data, called Physio-Arch. This new component is being actively used and developed by the Research Resource to provide private staging areas for data from several projects. The goal of the Physio-Arch project is to create a set of tools that will enable researchers to rapidly build custom data archives to support on-going studies and permanent archival. The platform is based on open source software technologies, resulting in an inexpensive and highly modifiable base on which to build specific implementations. Physio-Arch is a server-based system that allows multiple users to interact with a central repository of data via standard interfaces, like a web browser. In addition, Physio-Arch supports the use of relational databases to index data in a structured and searchable form.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR013622-07
Application #
7366530
Study Section
Special Emphasis Panel (ZRG1-SBIB-H (40))
Project Start
2006-03-01
Project End
2007-02-28
Budget Start
2006-03-01
Budget End
2007-02-28
Support Year
7
Fiscal Year
2006
Total Cost
$16,170
Indirect Cost
Name
Beth Israel Deaconess Medical Center
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02215
Clifford, Gari D; Silva, Ikaro; Moody, Benjamin et al. (2016) False alarm reduction in critical care. Physiol Meas 37:E5-E23
Burykin, Anton; Mariani, Sara; Henriques, Teresa et al. (2015) Remembrance of time series past: simple chromatic method for visualizing trends in biomedical signals. Physiol Meas 36:N95-102
Thomas, Robert Joseph; Mietus, Joseph E; Peng, Chung-Kang et al. (2014) Relationship between delta power and the electrocardiogram-derived cardiopulmonary spectrogram: possible implications for assessing the effectiveness of sleep. Sleep Med 15:125-31
Giladi, Nir; Horak, Fay B; Hausdorff, Jeffrey M (2013) Classification of gait disturbances: distinguishing between continuous and episodic changes. Mov Disord 28:1469-73
Maidan, Inbal; Plotnik, Meir; Mirelman, Anat et al. (2010) Heart rate changes during freezing of gait in patients with Parkinson's disease. Mov Disord 25:2346-54
Plotnik, M; Giladi, N; Hausdorff, J M (2009) Bilateral coordination of gait and Parkinson's disease: the effects of dual tasking. J Neurol Neurosurg Psychiatry 80:347-50
Hausdorff, Jeffrey M (2009) Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling. Chaos 19:026113
Ivanov, Plamen Ch; Ma, Qianli D Y; Bartsch, Ronny P et al. (2009) Levels of complexity in scale-invariant neural signals. Phys Rev E Stat Nonlin Soft Matter Phys 79:041920
Herman, Talia; Inbar-Borovsky, Noit; Brozgol, Marina et al. (2009) The Dynamic Gait Index in healthy older adults: the role of stair climbing, fear of falling and gender. Gait Posture 29:237-41
Celi, Leo Anthony; Hinske, L Christian; Alterovitz, Gil et al. (2008) An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study. Crit Care 12:R151

Showing the most recent 10 out of 109 publications