研究目的
Investigating a non-invasive method for estimating respiratory rate from the photoplethysmograph signal to overcome the limitations of conventional methods in spontaneously ventilating patients.
研究成果
The proposed method for estimating respiratory rate from the PPG signal is not computationally expensive and shows adequate accuracy. There was no statistically significant difference between the measures obtained by the device and traditional methods, making it suitable for medical applications. Future work should focus on expanding the sample size and improving the algorithm's robustness.
研究不足
The study was limited to healthy adult volunteers aged between 30 and 40 years. Future work should include a more diverse sample, including different age groups and health conditions, and improve the algorithm's robustness to motion artifacts and low-quality signal samples.
1：Experimental Design and Method Selection:
The method involves analyzing the PPG signal in two-minute blocks, applying a fourth-order Bessel bandpass filter with cut frequencies of
2：13 and 48 Hz to extract respiratory rate information. Sample Selection and Data Sources:
The study was conducted on 30 healthy adult volunteers aged between 30 and 40 years.
3：List of Experimental Equipment and Materials:
A wearable device comprising an Arduino CPU, a temperature sensor, a photoplethysmograph, and a wireless transceiver was used.
4：Experimental Procedures and Operational Workflow:
The device was attached to the subject, and after a two-minute adjustment period, respiratory rate was measured simultaneously by the device and physical observation.
5：Data Analysis Methods:
The Wilcoxon signed rank test was applied to compare the results obtained by the device and traditional methods.
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