Key result
A fuzzy comprehensive evaluation model for ballistocardiogram quality achieved an accuracy of 84.50% and 85.25% for micro-bend and fiber Bragg grating fiber optic sensors, respectively.
Why the study?
Evaluating ballistocardiogram quality is crucial for enhancing the accuracy of subsequent physiological parameter extraction.
A novel fuzzy comprehensive evaluation model accurately assesses the quality of ballistocardiogram signals from fiber optic sensors, facilitating better physiological parameter extraction.
Fiber optic BCG sensors show moderate quality assessment accuracy; leaves open clinical validation before cardiovascular monitoring use.
• A novel BCG quality evaluation model based on fuzzy comprehensive evaluation is introduced, integrating four time-domain and frequency-domain indicators. • The proposed BCG quality evaluation model has been validated on micro-bend fiber optic sensors and FBG sensors, demonstrating its accuracy and robustness. • A packaging structure for fiber Bragg grating sensors is proposed, and experimental results demonstrate its effectiveness in capturing BCG signals. Evaluating the quality of ballistocardiogram (BCG) is crucial for enhancing the accuracy of subsequent physiological parameter extraction. The micro-bend fiber optic BCG sensor and fiber Bragg grating BCG sensor are designed and manufactured, and experiments show that they can effectively acquire BCG. A BCG quality evaluation model based on fuzzy comprehensive evaluation is established, which uses four BCG evaluation indicators in time-domain and frequency-domain, including ratio of coefficient of variation, matching degree of J-wave detection, ratio of power spectral density, coefficient of template matching. By analyzing the quality of 800 manually labeled signal samples, the fuzzy membership functions for the four BCG evaluation indicators are determined. Considering the different noise features of various fiber optic sensors, different weight distributions are applied to BCG evaluation indicators for the micro-bend fiber optic BCG sensor and fiber Bragg grating BCG sensor. Applying the quality evaluation model to signals acquired at different times from two types of fiber optic sensors, and classifying them into excellent, average, and poor categories, the accuracy of BCG quality determination for the two types of sensors is 84.50% and 85.25%, respectively.
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Ma et al. (2024) studied this question. Fuzzy comprehensive evaluation model for BCG quality was evaluated on Accuracy of BCG quality determination. A fuzzy comprehensive evaluation model for ballistocardiogram quality achieved an accuracy of 84.50% and 85.25% for micro-bend and fiber Bragg grating fiber optic sensors, respectively.
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