A new protocol to compare successful versus failed patients using the electromyographic diaphragm signal in extubation process
文献类型: 会议论文
第一作者: Alejandro Arboleda
作者: Alejandro Arboleda 1 ; Lusvin Amado 2 ; Javier Rodriguez 3 ; Francisco Naranjo 4 ; Beatriz F. Giraldo 5 ;
作者机构: 1.UNAB, Bucaramanga, Colombia and the Dept. ESAII, EEBE, Universitat Politecnica de Catalunya (UPC)
2.UNAB
3.Institute for Bioengineering of Catalonia (IBEC), Automatic Control Dept. (ESAII)
4.Clinica FOSCAL
5.Automatic Control Dept. (ESAII), the Barcelona East School of Engineering (EEBE), UPC, IBEC and CIBER de Bioenginieria, Biomateriales y Nanomedicina (CIBER-BBN)
会议名称: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
主办单位:
页码: 5646-5649
摘要: In clinical practice, when a patient is undergoing mechanical ventilation, it is important to identify the optimal moment for extubation, minimizing the risk of failure. However, this prediction remains a challenge in the clinical process. In this work, we propose a new protocol to study the extubation process, including the electromyographic diaphragm signal (diaEMG) recorded through 5-channels with surface electrodes around the diaphragm muscle. First channel corresponds to the electrode on the right. A total of 40 patients in process of withdrawal of mechanical ventilation, undergoing spontaneous breathing tests (SBT), were studied. According to the outcome of the SBT, the patients were classified into two groups: successful (SG: 19 patients) and failure (FG: 21 patients) groups. Parameters extracted from the envelope of each channel of diaEMG in time and frequency domain were studied. After analyzing all channels, the second presented maximum differences when comparing the two groups of patients, with parameters related to root mean square (p = 0.005), moving average (p = 0.001), and upward slope (p = 0.017). The third channel also presented maximum differences in parameters as the time between maximum peak (p = 0.004), and the skewness (p = 0.027). These results suggest that diaphragm EMG signal could contribute to increase the knowledge of the behaviour of respiratory system in these patients and improve the extubation process.
分类号: q81-53
- 相关文献
作者其他论文 更多>>
-
Multivariable Regression Model to Estimate Tidal Volume for Different Respiratory Patterns
作者:Daniel Romero Pérez;Jordi Solà Soler;Leon Balchin;Arantxa Mas Serra;Manuel Lujan Torné;Melinda R. Popoviciu Koborzan;Beatriz F. Giraldo
关键词:Solid modeling;Biological system modeling;Nose;Tin;Predictive models;Recording;Calibration
-
A new protocol to compare successful versus failed patients using the electromyographic diaphragm signal in extubation process
作者:Alejandro Arboleda;Lusvin Amado;Javier Rodriguez;Francisco Naranjo;Beatriz F. Giraldo
关键词:Electrodes;Protocols;Frequency-domain analysis;Muscles;Ventilation;Electromyography;Biology
-
Classification of ischemic and dilated cardiomyopathy patients based on the analysis of the pulse transit time
作者:Beatriz F. Giraldo;Javier Rodriguez;Steffen Schulz;Andreas Voss
关键词:Support vector machines;Sensitivity;Time series analysis;Sociology;Senior citizens;Electrocardiography;Blood pressure
-
Linear Mixed Effects Modelling of Oxygen Desaturation after Sleep Apneas and Hypopneas: A Pilot Study
作者:Jordi Solà-Soler;Beatriz F. Giraldo;Raimon Jané
关键词:Effects Modelling;Oxygen Desaturation;Sleep Apneas
-
Linear Mixed Effects Modelling of Oxygen Desaturation after Sleep Apneas and Hypopneas: A Pilot Study
作者:Jordi Solà-Soler;Beatriz F. Giraldo;Raimon Jané
关键词:Biological system modeling;Sleep apnea;Mathematical model;Indexes;Reduced order systems;Optimization
-
Cardiovascular Coupling-Based Classification of Ischemic and Dilated Cardiomyopathy Patients
作者:Javier Rodriguez;Steffen Schulz;Andreas Voss;Beatriz F. Giraldo
关键词:Cardiovascular Coupling;Classification;Cardiomyopathy Patients
-
Relationship between Heart Rate Excursion and Apnea Duration in patients with Obstructive Sleep Apnea
作者:Jordi Sola-Soler;Beatriz F. Giraldo;Jose Antonio Fiz;Raimon Jane
关键词:


