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Philips Healthcare
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Philips Healthcare
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Philips Healthcare
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Fukuda Denshi Co
standard 12 lead surface digital ecgs Standard 12 Lead Surface Digital Ecgs, supplied by Fukuda Denshi Co, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/lead+surface+ecg/pmc12328242-138-5-37?v=Fukuda+Denshi+Co Average 86 stars, based on 1 article reviews
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Boston Scientific Corporation
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Roche
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ADInstruments
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PRUCKA ENGINEERING INC
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Boston Scientific Corporation
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Journal: Scientific Reports
Article Title: Open-source software for respiratory rate estimation using single-lead electrocardiograms
doi: 10.1038/s41598-023-50470-0
Figure Lengend Snippet: Respiratory rate (RR) estimation in spontaneously breathing humans. ( A ) RR estimates, in breaths per minute (bpm), during 3 levels of exercise in one subject. Algorithm-estimated RRs (estimated, blue) are compared with RR measured from the subject using the respiratory inductive plethysmography based Hexoskin monitor (expected, red) while performing three consecutive tasks: (1) resting, standing upright on a treadmill (Int 1); (2) walking on the treadmill at a moderate speed (1.2 m/s) (int 2); and (3) walking on the treadmill with 15% track inclination at the moderate speed (Int 3). ( B ) Summary results of algorithm-estimated and reference RRs (blue and red, respectively) during each subject-task interval. The data are from seven subjects, each performing either or all the three levels of exercise described above (subject-tasks), and presented in order of increasing average expected RR values. ( C ) The absolute errors (black) and relative errors (gray) of the algorithmic RR estimations across the subject-task intervals described above. Equivalence testing revealed that the expected and estimated RRs were the same ( p < 0.0001) for all subject-task intervals. ( D ) A comparison of the ECG cycle-to-cycle estimated and expected RR for all subjects and tasks with the indicated R 2 value (0.9092) and low root mean square error (RMSE, 2.2bpm) support a close linear relationship between the values. ( E ) Absolute error (bpm) and ( F ) relative error (%) distributions across all subjects.
Article Snippet:
Techniques: Comparison
Journal: Scientific Reports
Article Title: Open-source software for respiratory rate estimation using single-lead electrocardiograms
doi: 10.1038/s41598-023-50470-0
Figure Lengend Snippet: Block diagram of respiration rate estimation algorithm. Raw single-lead ECG data are filtered (panels a and b ), R-peaks are detected (red symbols, panel c ), R-peak intervals are determined, QRS complexes are extracted (panel d ) and their root mean square amplitude (RMS) values are calculated (panel e ), a power spectrum is generated for a moving window of 16 QRS RMS values incremented one value at a time (panel f ), and its peak frequency and the R-peak interval data within the window are used to calculate the respiratory rate (RR) using the equation shown.
Article Snippet:
Techniques: Blocking Assay, Generated