Spike detection of human sympathetic nerve activity using wavelet transformation and Valsalva maneuver denoising

IF 2.7 4区医学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Neuroscience Methods Pub Date : 2025-05-09 DOI:10.1016/j.jneumeth.2025.110482

Surat Kulapatana , Stefano Rigo , Vasile Urechie , Robert J. Brychta , Raffaello Furlan , Italo Biaggioni , André Diedrich

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引用次数: 0

Abstract

Background

Sympathetic function is directly assessed by microneurography measuring muscle sympathetic nerve activity (MSNA). The recordings are typically corrupted with noise and require denoising. We aim to estimate microneurographic noise individually from physiologically suppressed MSNA during Valsalva phase 4 (VM4).

New method

We developed MSNA adaptive processing (MAP). MSNA recordings during Valsalva were transformed by stationary wavelet transformation. Level-specific noise thresholds were computed from 4 SD of detail coefficients from VM4 and were implemented for denoising. The denoised signals were inverse transformed, then the MSNA spikes were detected.

We compared detection performance of the MAP with the current two-stage kurtosis method in simulated MSNA signals, and recordings from 17 healthy and 19 postural orthostatic tachycardia syndrome (POTS) female subjects performing Valsalva.

Results

The MAP had higher correct detections of MSNA spikes than the kurtosis method in simulated signals wit high burst rate (50 burst/min) and low signal-to-noise ratio (SNR =2) (MAP vs kurtosis; 23.81 ± 15.49 % vs 16.98 ± 12.75 %, p < 0.001). The improvement was confirmed by shorter error distance of the precision-recall plot (0.535 ± 0.175 vs 0.542 ± 0.177, p = 0.011).

The MAP detected higher spike rate during VM phase 2 in healthy (24.11 ± 9.85 vs 19.57 ± 8.60 spike/s, p = 0.049), but non-significant in POTS (24.19 ± 13.70 vs 20.30 ± 11.85 spike/s, p = 0.101).

Comparison with existing methods

The detection performance of the MAP is superior to the current two-stage kurtosis method.

Conclusions

The proposed MAP method individually estimating noise from VM4 could improve MSNA spike detection, compared with the kurtosis method. The advantages are most prominent in high burst rate and low SNR MSNA recordings.

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基于小波变换和Valsalva机动去噪的人类交感神经活动尖峰检测

交感神经功能是通过测量肌肉交感神经活动（MSNA）的微神经造影直接评估的。录音通常被噪声破坏，需要去噪。我们的目标是在Valsalva第4期（VM4）期间从生理抑制的MSNA中单独估计微神经图噪声。新方法：我们开发了MSNA自适应处理（MAP）。对Valsalva期间的MSNA记录进行平稳小波变换。从VM4的细节系数的4 SD中计算出特定级别的噪声阈值，并实现去噪。对去噪后的信号进行逆变换，检测出微信号峰值。我们比较了MAP与目前的两阶段峰度方法在模拟MSNA信号中的检测性能，以及17名健康和19名体位性心动过速综合征（POTS）女性受试者进行Valsalva的记录。结果在高突发率（50突发/min）和低信噪比（SNR =2）的模拟信号中，MAP对MSNA尖峰的检测准确率高于峰度法(MAP vs峰度法； 23.81±15.49  % 16.98 vs ±12.75  %,p & lt; 0.001)。精密度-召回率图的误差距离更短（0.535 ± 0.175 vs 0.542 ± 0.177,p = 0.011）。地图发现更高的峰值速率在VM第二阶段健康( 24.11±9.85 vs 19.57  ±8.60 / s, p = 0.049),但与锅( 24.19±13.70 vs 20.30  ±11.85 / s, p = 0.101)。与现有方法的比较MAP的检测性能优于当前的两阶段峰度方法。结论与峰度方法相比，MAP方法对VM4噪声进行单独估计可以提高MSNA尖峰检测的效率。其优点在高突发率和低信噪比的MSNA记录中最为突出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroscience Methods 医学-神经科学

CiteScore

7.10

自引率

3.30%

发文量

226

审稿时长

52 days

期刊介绍： The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.