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Fig 1.

ECG system configuration for simultaneous measurement (adapted from [34]).

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Fig 1 Expand

Table 1.

General information about the measurement devices.

See S1 Fig for the table with device images.

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Table 1 Expand

Table 2.

Special technical information for scientific studies.

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Table 2 Expand

Fig 2.

Illustration of the morphological signal quality process in a sliding window of an ECG (number of cardiac cycles k = 8).

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Fig 3.

Examples of ECG segments with different signal quality measured by quantifying the similarity of ECG templates.

Very clean segments have a morphSQ near to zero, noisy segments have values larger than 0.1.

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Fig 3 Expand

Fig 4.

Illustration of a Smith-Waterman-like algorithm for RR interval sequences to identify incorrect RR intervals in a query sequence.

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Table 3.

Morphological Signal Quality Index (morphSQI) expressed as mean over all participants (average SD) and proportion of sufficient morphological signal quality (morphSQ < 10%).

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Table 4.

QRS detection performance expressed by false positive (FP) and false negative (FN) counts and positive predictive values (PPV) and false negative rates (FNR) from bandpass-filtered (3–20 Hz) ECGs (heartbeats annotated by eplimited).

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Fig 5.

QRS detection performance expressed by F1 scores of the used devices per experimental phase with individual curve progression.

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Table 5.

QRS detection performance through RR interval alignment using the modified Smith-Waterman algorithm for numericals.

Errors are expressed by false positive counts (FP), false negative counts (FN), and the number of misplaced annotations from unsynchronized data (50 ms tolerance).

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