The NIH/NCRR Research Resource for Complex Physiologic Signals was established in September. 1999, in order to accelerate research progress and to stimulate new basic and clinical studies of biomedical signals. This competitive ?enewal request proposes to enhance and expand the components of this multidisciplinary Resource, including: 3hysioBank -- a large and growing archive of well-characterized digital recordings of physiologic signals and related data currently includes about 40 databases of cardiopulmonary, neural and other biomedical signals from healthy subjects and from patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, Parkinson's disease, sleep apnea, and aging. Core and collaborative research supporting this component develop new databases and specialized software to assist in this process. hysioToolkit -- a large and growing library of open source software for physiologic signal processing and analysis, detection of physiologically significant events using both classical techniques and novel methods based on statistical shysics and nonlinear dynamics, interactive display and characterization of signals, creation of new databases, simulation of physiologic and other signals, evaluation and comparison of analysis methods, and analysis of complex . orocesses. A unifying theme of research projects that contribute software to PhysioToolkit is the extraction of hidden information from biomedical signals, information that may have diagnostic or prognostic value in medicine, or explanatory or predictive power in basic research. PhysioNet -- the Resource's web site (www.physionet.org)provides free access to PhysioBank and PhysioToolkit, and facilities for discussion and cooperative analysis of data and .algorithms. PhysioNet offers a growing set of tutorials to assist in training investigators, clinicians and students in complex signal analysis. PhysioNet also hosts a highly successful series of open challenges that focus research efforts and promote rapid progress on important basic and clinical research questions. We also propose to develop new data analysis and archival biotechnology tools in support of the missions of the NCRR's General Clinical Research Centers, and to expand our core and collaborative research directed at a wide range of basic and clinical problems, including infant apnea and sleep disordered breathing, gait disorders and falls in elders and those with Parkinson's disease, and life-threatening cardiac arrhythmias.
| Clifford, Gari D; Silva, Ikaro; Moody, Benjamin et al. (2016) False alarm reduction in critical care. Physiol Meas 37:E5-E23 |
| Zhang, Zhengbo; Silva, Ikaro; Wu, Dalei et al. (2014) Adaptive motion artefact reduction in respiration and ECG signals for wearable healthcare monitoring systems. Med Biol Eng Comput 52:1019-30 |
| Scott, Daniel J; Lee, Joon; Silva, Ikaro et al. (2013) Accessing the public MIMIC-II intensive care relational database for clinical research. BMC Med Inform Decis Mak 13:9 |
| Lehman, Li-wei H; Nemati, Shamim; Adams, Ryan P et al. (2013) Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. Conf Proc IEEE Eng Med Biol Soc 2013:7072-5 |
| Silva, Ikaro; Behar, Joachim; Sameni, Reza et al. (2013) Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. Comput Cardiol (2010) 40:149-152 |
| Lehman, Li-wei; Saeed, Mohammed; Long, William et al. (2012) Risk stratification of ICU patients using topic models inferred from unstructured progress notes. AMIA Annu Symp Proc 2012:505-11 |
| Goldberger, Zachary D; Goldberger, Ary L (2012) Therapeutic ranges of serum digoxin concentrations in patients with heart failure. Am J Cardiol 109:1818-21 |
| Lehman, Li-wei H; Nemati, Shamim; Adams, Ryan P et al. (2012) Discovering shared dynamics in physiological signals: application to patient monitoring in ICU. Conf Proc IEEE Eng Med Biol Soc 2012:5939-42 |
| Silva, Ikaro; Moody, George; Scott, Daniel J et al. (2012) Predicting In-Hospital Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012. Comput Cardiol (2010) 39:245-248 |
| Manor, Brad D; Hu, Kun; Peng, Chung-Kang et al. (2012) Posturo-respiratory synchronization: effects of aging and stroke. Gait Posture 36:254-9 |
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