Time and frequency domain analysis of physiological features during autonomic dysreflexia after spinal cord injury.
Time and frequency domain analysis of physiological features during autonomic dysreflexia after spinal cord injury.
复制标题
DOI：
10.3389/fnins.2023.1210815
复制
发表时间：
2023
影响因子：
4.3
通讯作者：
Duerstock, Bradley S.
中科院分区：
文献类型：
--
作者：
Kirby, Ana Karina;Pancholi, Sidharth;Anderson, Zada;Chesler, Caroline;Everett, Thomas H.;Duerstock, Bradley S.
关键词：
自主神经反射异常 (AD) 影响约 70% 的脊髓损伤 (SCI) 患者，如果不及时发现和处理，可能会造成严重后果，包括死亡。目前 AD 检测的黄金标准涉及连续血压监测，但这可能很不方便。因此，非侵入性检测装置对于快速、连续的 AD 检测非常有价值。植入的啮齿动物模型用于分析脊髓损伤后的自主神经反射异常。使用心电图电极从非侵入性记录的心电图信号中提取皮肤神经活动 (SKNA) 特征。同时，使用植入的遥测设备收集血压和心电图采样数据。从这些心电图信号中提取心率变异性 (HRV) 特征。在时域和频域中分析 SKNA 和 HRV 参数。我们发现 SKNA 特征在收缩压典型升高前约 18 秒显示出升高，表明上胸段 SCI 大鼠模型中 AD 的发作。此外，频域中 SKNA 的低频分量在 AD 过程中占主导地位，这表明它们有可能包含在 AD 检测系统中以提高准确性。利用 SKNA 测量可以对 SCI 患者发出早期警报，从而及时干预和减轻 AD 的不利影响，从而提高他们的整体福祉和安全。
Autonomic dysreflexia (AD) affects about 70% of individuals with spinal cord injury (SCI) and can have severe consequences, including death if not promptly detected and managed. The current gold standard for AD detection involves continuous blood pressure monitoring, which can be inconvenient. Therefore, a non-invasive detection device would be valuable for rapid and continuous AD detection. Implanted rodent models were used to analyze autonomic dysreflexia after spinal cord injury. Skin nerve activity (SKNA) features were extracted from ECG signals recorded non-invasively, using ECG electrodes. At the same time, blood pressure and ECG data sampled was collected using an implanted telemetry device. Heart rate variability (HRV) features were extracted from these ECG signals. SKNA and HRV parameters were analyzed in both the time and frequency domain. We found that SKNA features showed an increase approximately 18 seconds before the typical rise in systolic blood pressure, indicating the onset of AD in a rat model with upper thoracic SCI. Additionally, low-frequency components of SKNA in the frequency domain were dominant during AD, suggesting their potential inclusion in an AD detection system for improved accuracy. Utilizing SKNA measurements could enable early alerts to individuals with SCI, allowing timely intervention and mitigation of the adverse effects of AD, thereby enhancing their overall well-being and safety.
登录
查看更多内容
影响因子：
2.2
作者：
Rabchevsky, A. G.;Patel, S. P.;Duale, H.;Lyttle, T. S.;O'Dell, C. R.;Kitzman, P. H.
通讯作者：
Kitzman, P. H.
影响因子：
5.5
作者：
Meng G;He W;Wong J;Li X;Mitscher GA;Straka S;Adams D;Everett TH 4th;Manchanda S;Liu X;Chen PS;Tang Y
通讯作者：
Tang Y
影响因子：
3.5
作者：
Suresh, Shruthi;Newton, David T.;Everett, Thomas H.;Lin, Guang;Duerstock, Bradley S.
通讯作者：
Duerstock, Bradley S.
DOI：
10.1109/jtehm.2019.2955947
发表时间：
2020-01-01
影响因子：
3.4
作者：
Suresh, Shruthi;Duerstock, Bradley S.
通讯作者：
Duerstock, Bradley S.
影响因子：
81.5
作者：
Ahuja, Christopher S.;Wilson, Jefferson R.;Fehlings, Michael G.
通讯作者：
Fehlings, Michael G.