ABSTRACT
In this study, a surface electromyography (sEMG) and blood oxygen signal real-time monitoring system is designed to explore the changes of physiological signals during muscle fatigue, so as to detect muscle fatigue. The analysis method of sEMG and the principle of blood oxygen detection are respectively introduced, and the system scheme is expounded. The hardware part of the system takes STM32 as the core. Conditioning module composition; blood oxygen signal acquisition is based on near infrared spectroscopy (NIRS), specifically including light source, light source driving, photoelectric conversion, signal conditioning and other modules. The system software part is based on the real-time uC/OS-III software system. The characteristic parameters of sEMG were extracted by isometric contraction local muscle fatigue experiment; the relative changes of oxyhemoglobin (HbO2) and deoxyhemoglobin (Hb) were calculated in the forearm blocking experiment, thereby verifying that the system collects two signals effectiveness.
Subject(s)
Muscle, Skeletal , Oxygen , Electromyography , Muscle Fatigue/physiology , ComputersABSTRACT
Objective:To investigate the application of continuous intracranial pressure (ICP) combined with regional cerebral oxygen saturation (rScO 2) monitoring in patients with hypertensive intracerebral hemorrhage before and after operation of the removal hematoma through small bone window and the effect on the prognosis of patients. Methods:The clinical data of 37 patients with supratentorial hypertensive intracerebral hemorrhage admitted to the neurosurgical intensive care unit of the people′s Hospital of Inner Mongolia Autonomous Region from April 2018 to October 2020 were retrospectively analyzed.ICP monitoring and near infrared spectroscopy (NIRS) were used to monitor the intracranial pressure and rScO 2 concentration before and after the operation, and the changes of intracranial pressure and rScO 2 before and after the operation were analyzed.According to Glasgow Outcome Score (GOS), patients with GOS score>3 were classified as good prognosis group (21 cases), and those with GOS score ≤3 were classified as poor prognosis group (16 cases). Results:The postoperative intracranial pressure((15.80±6.70) mmHg)of patientswith hypertensive intracerebral hemorrhage was lower than that before operation((20.40±5.80) mmHg), and the difference was statistically significant( t=3.226, P=0.002). The postoperative rScO 2 ((62.31±3.85)% )of patientswith hypertensive intracerebral hemorrhage was higher than that before operation((59.73±3.13)%), and the difference was statistically significant( t=3.171, P=0.002). The decrease of intracranial pressure in patients with good prognosis((6.53±2.21) mmHg)was more obvious than that in patients with poor prognosis((4.24±2.30) mmHg). The concentration of rScO 2 increased in both groups.But in the group with good prognosis, the rScO 2 increased((3.99±2.34)%)was significantly higher than that in poor prognosis group((2.32±2.25)%). Six months after operation, there were significant differences in preoperative and postoperative intracranial pressure and rScO 2 between good prognosis group and poor prognosis group, and the difference was statistically significant( t=3.090, 2.176; P=0.004, 0.036). Conclusion:Small bone window evacuation of intracerebral hematoma can significantly reduce the concentration of intracranial pressure and increase the concentration of rScO 2 in patients with intracerebral hemorrhage.The changes of intracranial pressure and rScO 2 before and after operation have potential value in judging the prognosis of patients.
ABSTRACT
Objective: The calibration models were developed in the concentration of alcohol precipitation proee for Artemisiae Annuae Herba (AAH) and Lonicerae Flos (LF) in Reduning Injection (RI) to realize the on-line monitoring of production process. Methods: Based on the near infrared reflectance spectroscopy (NIRS), partial least regression (PLS) models were developed to fast measure the contents of neochlorogenic acid, chlorogenic acid, and 4-O-caffeoylquinic acid in the concentration of the alcohol precipitation proee for AAH and LF. Results: In the quantitative models of neochlorogenic acid, chlorogenic acid, and 4-O-caffeoylquinic acid, the coefficient of determination (R2) of cross validation sets were 0.954 5, 0.975 2, and 0.969 1; The root mean square errors of calibration (RMSEC) were 0.213, 0.676, and 0.225; The root mean square errors of cross-validation (RMSECV) were 0.233, 0.692, and 0.258. When the established models were applied to on-line monitoring, the coefficient of determination of neochlorogenic acid, chlorogenic acid, and 4-O-caffeoylquinic acid were 0.984 2, 0.983 7, and 0.987 0, the residual predictive deviation (RPD) were 4.77, 5.29, and 4.37; The relative standard errors of prediction (RSEP) were 3.519%, 3.778%, and 3.895%. Conclusion: The models above are proved to fast measure the contents of neochlorogenic acid, chlorogenic acid, and 4-O-caffeoylquinic acid in the concentration of alcohol precipitation proee for AAH and LF in RI.
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Objective: To establish the qualitative analysis model for Guang Citrus Reticulata Pericarpium (GCRP) using near infrared spectroscopy, so as to establish a rapid method to identify GCRP. Methods: After collecting the near-infrared spectra of GCRP and Chuan Citrus Reticulata Pericarpium (CCRP), standard orthogonal variable transformation (SNV) was used as pretreatment and cluster analysis method was used to establish identification models. The model validation and external validation were made, and a GCRP analysis model was established using near-infrared spectroscopy technology. Results: In wavelength range of 4000-10000 cm-1, GCRP was able to be distinguished. The accuracy rate of internal validation was 100% and the accuracy rate of external validation was 90.91%. Conclusion: It is feasible to identify GCRP samples by near infrared spectroscopy technique.