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To explore, in this paper, an algorithm is suggested to first estimate R peak and S peak from raw ECG signal and then fused together to detect and localize QRS complex. The algorithm is validated on all the signals of MIT-BIH arrhythmia database, QT database and noise stress database ...
Mitochondrial respiration linked to complex I, reflecting electron transport chain activity reliant on NADH as the reducing equivalent, was significantly elevated during lactate infusion compared with control (P = 0.040; Fig. 5 and Supplementary Table S1). In contrast, the increase in oxidative ...
4.1. ECG datasets MIT-BIH arrhythmia database: The signal was recorded at a rate of 360 samples per second and each recording lasted for half an hour. The reference annotations based on R peaks for each single-cycle signal were provided in the database and used as the ground truth for an...
Minttihealth is at the forefront of this change, leveraging Multidimensional Chronic Disease Indicator Data Algorithm Fusion Technology to address complex healthcare challenges and optimize chronic disease management. This technology combines multiple ...
MLPs consist of an activation function that determines whether a neuron should fire or not, and they have a high capacity to approximate complex functions. Up to now, most of the classification studies on EEG meditation involved using 2 sessions [2, 24, 83]. These two sessions can be from...
Promising results for PE detection have been shown based on imaging data alone, and are further improved when combined with additional modalities. Both Huang et al.19 and Somani et al.20 proposed a multimodal fusion model combining EHR data with CTPA and ECG respectively for the detection task...
On the other hand, for "hard" instances, DynMM pro- vides the option of combining multimodal features in each cell with complex fusion operations for maximum represen- tation power. Note that we replace the four individual gating networks G(x) in each fusion cell with a global gating net-...
While handling several modalities is technically more complex than homogeneous event detection, it has at least two main advantages. First, some events are imperceptible when modalities are treated individually but can be effectively detected using multiple modalities. One example in that context is ...
After removing the cross-modal attention and encoder-decoder layers respectively, the performance of the model has declined to a certain extent, especially on more complex task indicators such as Acc5 and Acc7. We analyze that this may be because these two layers focus on high-dimensional featur...