ECG-guided non-invasive estimation of pulmonary congestion in patients with heart failure.
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| Title: | ECG-guided non-invasive estimation of pulmonary congestion in patients with heart failure. |
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| Authors: | Raghu A; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Building 36-796, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA, 02139, USA.; Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA., Schlesinger D; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Building 36-796, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA, 02139, USA.; Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.; Institute of Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA., Pomerantsev E; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.; Division of Cardiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA., Devireddy S; Division of Cardiovascular Medicine, Brigham and Women's Hospital, 75 Francis St., Boston, MA, 02115, USA., Shah P; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.; Division of Cardiovascular Medicine, Brigham and Women's Hospital, 75 Francis St., Boston, MA, 02115, USA., Garasic J; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.; Division of Cardiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA., Guttag J; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Building 36-796, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA, 02139, USA., Stultz CM; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Building 36-796, 77 Massachusetts Ave., Cambridge, MA, 02139, USA. cmstultz@mit.edu.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA, 02139, USA. cmstultz@mit.edu.; Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA. cmstultz@mit.edu.; Institute of Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA. cmstultz@mit.edu.; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA. cmstultz@mit.edu.; Division of Cardiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA. cmstultz@mit.edu. |
| Source: | Scientific reports [Sci Rep] 2023 Mar 09; Vol. 13 (1), pp. 3923. Date of Electronic Publication: 2023 Mar 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-30900-9 |
