Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR013622-02
Application #
6328155
Study Section
Project Start
2000-07-01
Project End
2001-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
2
Fiscal Year
2000
Total Cost
$140,710
Indirect Cost
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

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