Estimation of respiratory rate and effort from a chest-worn accelerometer using constrained and recursive principal component analysis
推荐理由
本文使用了一种新颖的、约束的和递归形式的主成分分析（PCA）算法来可靠地估计呼吸努力信号，该算法可在不同体位下自适应调整参数，并且使用偏度值计算的方式避免了相位翻转问题，用较低的算力成本实现了较高效的呼吸努力信号获取。
| 文章简介 | |
|---|---|
| 期刊 | Physiological Measurement |
| 发表年份 | 2021 |
| DOI | 10.1088/1361-6579/abf01f |
| 类型 | 研究性工作 |
| 领域 | 呼吸检测 |
| 引用量 | 9 |
| 推荐信息 | |
|---|---|
| 推荐人 | 艾力亚尔 |
| 审核 | 马伯志 |
| 推荐小组 | 产品研发小组 |
摘要
Objective. Measurement of respiratory rate and effort is useful in various applications, such as the diagnosis of sleep apnea and early detection of patient deterioration in medical conditions, such as infections. A chest-worn accelerometer may be an easy and non-intrusive method, provided it is accurate and robust. We investigate the use of a novel method that can perform under realistic sleeping conditions such as variable sensor positions and body posture. Approach. Twenty subjects (aged 46–65 years) wore an accelerometer on the chest and a respiratory impedance plethysmography band as a reference. The subjects underwent an experimental protocol lasting approximately 90 min, under various postures and with different sensor positions. We used a novel, constrained, and recursive form of principal component analysis (PCA) to estimate the respiratory effort signal robustly. To obtain an estimate for the respiratory rate, first, multiple estimates were aggregated into a single frequency. Subsequently, a quality index was determined, such that unreliable estimates could be identified, and a trade-off could be made between coverage (percentage of time that the quality index is above a threshold) and limits of agreement. Main results. Results were determined over all recorded data, including changes in sensor position and posture. For respiratory effort, it was found that recursive and constrained computation of PCA reduced the estimation error significantly. For respiratory rate, a relation between coverage and limits of agreement was determined. If a minimum coverage of 80% was required, the limits of agreement could be kept below 1.45 breaths per minute. If the limits of agreement were constrained to 0.2 breaths per minute, a mean coverage of 5% was still attainable. Significance. We have shown that chest-worn accelerometery can be a robust and accurate method for measurement of respiratory features under realistic conditions.
细分领域
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