Abstract

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. The SAFE (Syncope and Falls in the Elderly) laboratory has been established as a part of the NCRR-funded General Clinical Research Center at the Beth Israel Deaconess Medical Center at Harvard Medical School. The Resource is assisting with data analysis and developing a customized data archive system for the SAFE laboratory. This service and collaborative effort enables detailed analysis of the effects of foot pressure during normal gait on feedback mechanisms modulating muscle strength, heart rate and blood pressure during normal gait and treadmill exercise. In addition, the relationship between cerebral blood flow on balance can be studied using a force platform. This protocol is unique in that it enables simultaneous evaluation of gait (feet pressure, center of pressure), cardiovascular function, respiratory function, electromyography, and cerebral and peripheral blood flow during normal gait.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR013622-07
Application #
7366518
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
$8,085
Indirect Cost

  Institution

Name
Beth Israel Deaconess Medical Center
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02215

  Publications

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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