scholarly journals EEG Based Classification of Long-Term Stress Using Psychological Labeling

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1886 ◽  
Author(s):  
Sanay Muhammad Umar Saeed ◽  
Syed Muhammad Anwar ◽  
Humaira Khalid ◽  
Muhammad Majid ◽  
Ulas Bagci

Stress research is a rapidly emerging area in the field of electroencephalography (EEG) signal processing. The use of EEG as an objective measure for cost effective and personalized stress management becomes important in situations like the nonavailability of mental health facilities. In this study, long-term stress was classified with machine learning algorithms using resting state EEG signal recordings. The labeling for the stress and control groups was performed using two currently accepted clinical practices: (i) the perceived stress scale score and (ii) expert evaluation. The frequency domain features were extracted from five-channel EEG recordings in addition to the frontal and temporal alpha and beta asymmetries. The alpha asymmetry was computed from four channels and used as a feature. Feature selection was also performed to identify statistically significant features for both stress and control groups (via t-test). We found that support vector machine was best suited to classify long-term human stress when used with alpha asymmetry as a feature. It was observed that the expert evaluation-based labeling method had improved the classification accuracy by up to 85.20%. Based on these results, it is concluded that alpha asymmetry may be used as a potential bio-marker for stress classification, when labels are assigned using expert evaluation.

1991 ◽  
Vol 9 (5) ◽  
pp. 736-740 ◽  
Author(s):  
L E Spitler

We conducted a long-term follow-up (median, 10.5 years) of patients included in a randomized trial of levamisole versus placebo as surgical adjuvant therapy in 203 patients with malignant melanoma. Of the patients randomized, 104 received levamisole, and 99 received placebo. The results show that there is no difference between the treatment and control groups with regard to any of the three end points analyzed. These included disease-free interval, time to appearance of visceral metastasis, and survival. Moreover, there was no significant difference between the treatment and control groups after adjusting for age, sex, or stage of disease.


1990 ◽  
Vol 157 (6) ◽  
pp. 881-887 ◽  
Author(s):  
Paul Furlong ◽  
Paul Barczak ◽  
Gwilym Hayes ◽  
Graham Harding

The SSEPs obtained from 19 schizophrenics defined by RDC, DSM–III and PSE criteria Were compared with those from a control group of healthy volunteers. Previous findings of an abnormal lack of lateralising response in schizophrenic patients were not replicated. No significant difference in either amplitude or morphology between the traces obtained from the two groups were recorded. Ipsilateral and contralateral latencies for stimulation of the left and right index finger showed no significant difference in peak latency for any component between patient and control group. When mean peak-to-peak amplitudes were plotted the contralateral component was always greater in amplitude than the ipsilateral one. An objective measure of the degree of lateralisation, the percentage lateralisation quotient, showed no lateralisation differences between the patient and control groups. A case of myogenic contamination of ipsilateral components was observed calling into doubt findings where no temporal region monitoring has been performed.


2018 ◽  
Vol 50 (2) ◽  
pp. 655-671
Author(s):  
Tian Liu ◽  
Yuanfang Chen ◽  
Binquan Li ◽  
Yiming Hu ◽  
Hui Qiu ◽  
...  

Abstract Due to the large uncertainties of long-term precipitation prediction and reservoir operation, it is difficult to forecast long-term streamflow for large basins with cascade reservoirs. In this paper, a framework coupling the original Climate Forecasting System (CFS) precipitation with the Soil and Water Assessment Tool (SWAT) was proposed to forecast the nine-month streamflow for the Cascade Reservoir System of Han River (CRSHR) including Shiquan, Ankang and Danjiangkou reservoirs. First, CFS precipitation was tested against the observation and post-processed through two machine learning algorithms, random forest and support vector regression. Results showed the correlation coefficients between the monthly areal CFS precipitation (post-processed) and observation were 0.91–0.96, confirming that CFS precipitation post-processing using machine learning was not affected by the extended forecast period. Additionally, two precipitation spatio-temporal distribution models, original CFS and similar historical observation, were adopted to disaggregate the processed monthly areal CFS precipitation to daily subbasin-scale precipitation. Based on the reservoir restoring flow, the regional SWAT was calibrated for CRSHR. The Nash–Sutcliffe efficiencies for three reservoirs flow simulation were 0.86, 0.88 and 0.84, respectively, meeting the accuracy requirement. The experimental forecast showed that for three reservoirs, long-term streamflow forecast with similar historical observed distribution was more accurate than that with original CFS.


2018 ◽  
Vol 28 (02) ◽  
pp. 1750036 ◽  
Author(s):  
Shuqiang Wang ◽  
Yong Hu ◽  
Yanyan Shen ◽  
Hanxiong Li

In this study, we propose an automated framework that combines diffusion tensor imaging (DTI) metrics with machine learning algorithms to accurately classify control groups and groups with cervical spondylotic myelopathy (CSM) in the spinal cord. The comparison between selected voxel-based classification and mean value-based classification were performed. A support vector machine (SVM) classifier using a selected voxel-based dataset produced an accuracy of 95.73%, sensitivity of 93.41% and specificity of 98.64%. The efficacy of each index of diffusion for classification was also evaluated. Using the proposed approach, myelopathic areas in CSM are detected to provide an accurate reference to assist spine surgeons in surgical planning in complicated cases.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
F. A. Nieri-Bastos ◽  
M. P. J. Szabó ◽  
R. C. Pacheco ◽  
J. F. Soares ◽  
H. S. Soares ◽  
...  

The distribution ofRickettsia parkeriin South America has been associated withAmblyomma tristeticks. The present study evaluated under laboratory conditions two colonies ofA. triste: one started from engorged females that were naturally infected byR. parkeri(designated as infected group); the other started from noninfected females (designated as control group). Both colonies were reared in parallel for five consecutive generations. Tick-naïve domestic rabbits were used for feeding of each tick stage and generation.R. parkeriwas preserved by transstadial maintenance and transovarial transmission inA. tristeticks for five consecutive generations, because all tested larvae, nymphs, and adults from the infected group were shown by PCR to contain rickettsial DNA. All rabbits infested by larvae, nymphs, and adults from the infected group seroconverted, indicating that these tick stages were all vector competent forR. parkeri. Expressive differences in mortality rates were observed between engorged nymphs from the infected and control groups, as indicated by 65.9% and 92.4% molting success, respectively. Our results indicate thatA. tristecan act as a natural reservoir forR. parkeri. However, due to deleterious effect caused byR. parkerion engorged nymphs, amplifier vertebrate hosts might be necessary for natural long-term maintenance ofR. parkeriinA. triste.


Arthritis ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yaron Bar-Ziv ◽  
Eytan M. Debbi ◽  
Yuval Ran ◽  
Shaike Benedict ◽  
Nahum Halperin ◽  
...  

Several biomechanics treatments for knee osteoarthritis (OA) have emerged with the goal of reducing pain and improving function. Through this, researchers have hoped to achieve a transition from the pathological gait patterns to coordinated motor responses. The purpose of the study was to determine the long-term effects of a therapy using a biomechanical device in patients with knee OA. Patients with knee OA were enrolled to active and control groups. The biomechanical device used in therapy (AposTherapy) was individually calibrated to each patient in the active group. Patients in the control group received standard treatment. Outcomes were the Western Ontario and McMaster Osteoarthritis Index (WOMAC), Aggregated Locomotor Function (ALF), Short Form 36 (SF-36), and Knee Society Score assessments. The active and control groups were similar at the baseline (group difference in all scores ). The active group showed a larger improvement over time between groups in all three WOMAC categories (, 21.7, and 18.1 for pain, stiffness, and function; all ), SF-36 Physical Scale (; ), Knee Society Knee Score (; ), and Knee Society Function Score (; ). At the two-year endpoint, the active group showed significantly better results (all ). The groups showed a difference of 4.9, 5.6, and 4.7 for the WOMAC pain, stiffness, and function scores, respectively, 10.8 s in ALF score, 30.5 in SF-36 Physical Scale, 16.9 in SF-36 Mental Scale, 17.8 in Knee Society Knee Score, and 25.2 in Knee Society Function Score. The biomechanical therapy examined was shown to significantly reduce pain and improve function and quality of life of patients with knee OA over the long term.


10.2196/15401 ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. e15401 ◽  
Author(s):  
Lei Zhang ◽  
Xingxing He ◽  
Yun Shen ◽  
Haoyong Yu ◽  
Jiemin Pan ◽  
...  

Background In recent years, the rapid development of mobile medical technology has provided multiple ways for the long-term management of chronic diseases, especially diabetes. As a new type of management model, smartphone apps are global, convenient, cheap, and interactive. Although apps were proved to be more effective at glycemic control, compared with traditional computer- and Web-based telemedicine technologies, how to gain a further and sustained improvement is still being explored. Objective The objective of this study was to investigate the effectiveness of an app-based interactive management model by a professional health care team on glycemic control in Chinese patients with poorly controlled diabetes. Methods This study was a 6-month long, single-center, prospective randomized controlled trial. A total of 276 type 1 or type 2 diabetes patients were enrolled and randomized to the control group (group A), app self-management group (group B), and app interactive management group (group C) in a 1:1:1 ratio. The primary outcome was the change in glycated hemoglobin (HbA1c) level. Missing data were handled by multiple imputation. Results At months 3 and 6, all 3 groups showed significant decreases in HbA1c levels (all P<.05). Patients in the app interactive management group had a significantly lower HbA1clevel than those in the app self-management group at 6 months (P=.04). The average HbA1c reduction in the app interactive management group was larger than that in the app self-management and control groups at both months 3 and 6 (all P<.05). However, no differences in HbA1c reduction were observed between the app self-management and control groups at both months 3 and 6 (both P>.05). Multivariate line regression analyses also showed that the app interactive management group was associated with the larger reduction of HbA1c compared with groups A and B at both months 3 and 6 (all P>.05). In addition, the app interactive management group had better control of triglyceride and high-density lipoprotein cholesterol levels at both months 3 and 6 compared with baseline (both P<.05). Conclusions In Chinese patients with poorly controlled diabetes, it was difficult to achieve long-term effective glucose improvement by using app self-management alone, but combining it with interactive management can help achieve rapid and sustained glycemic control. Trial Registration ClinicalTrials.gov NCT02589730; https://clinicaltrials.gov/ct2/show/NCT02589730.


2019 ◽  
Author(s):  
Lei Zhang ◽  
Xingxing He ◽  
Yun Shen ◽  
Haoyong Yu ◽  
Jiemin Pan ◽  
...  

BACKGROUND In recent years, the rapid development of mobile medical technology has provided multiple ways for the long-term management of chronic diseases, especially diabetes. As a new type of management model, smartphone apps are global, convenient, cheap, and interactive. Although apps were proved to be more effective at glycemic control, compared with traditional computer- and Web-based telemedicine technologies, how to gain a further and sustained improvement is still being explored. OBJECTIVE The objective of this study was to investigate the effectiveness of an app-based interactive management model by a professional health care team on glycemic control in Chinese patients with poorly controlled diabetes. METHODS This study was a 6-month long, single-center, prospective randomized controlled trial. A total of 276 type 1 or type 2 diabetes patients were enrolled and randomized to the control group (group A), app self-management group (group B), and app interactive management group (group C) in a 1:1:1 ratio. The primary outcome was the change in glycated hemoglobin (HbA<sub>1c</sub>) level. Missing data were handled by multiple imputation. RESULTS At months 3 and 6, all 3 groups showed significant decreases in HbA<sub>1c</sub> levels (all <italic>P</italic>&lt;.05). Patients in the app interactive management group had a significantly lower HbA<sub>1c</sub>level than those in the app self-management group at 6 months (<italic>P</italic>=.04). The average HbA<sub>1c</sub> reduction in the app interactive management group was larger than that in the app self-management and control groups at both months 3 and 6 (all <italic>P</italic>&lt;.05). However, no differences in HbA<sub>1c</sub> reduction were observed between the app self-management and control groups at both months 3 and 6 (both <italic>P</italic>&gt;.05). Multivariate line regression analyses also showed that the app interactive management group was associated with the larger reduction of HbA<sub>1c</sub> compared with groups A and B at both months 3 and 6 (all <italic>P</italic>&gt;.05). In addition, the app interactive management group had better control of triglyceride and high-density lipoprotein cholesterol levels at both months 3 and 6 compared with baseline (both <italic>P</italic>&lt;.05). CONCLUSIONS In Chinese patients with poorly controlled diabetes, it was difficult to achieve long-term effective glucose improvement by using app self-management alone, but combining it with interactive management can help achieve rapid and sustained glycemic control. CLINICALTRIAL ClinicalTrials.gov NCT02589730; https://clinicaltrials.gov/ct2/show/NCT02589730.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 986-986
Author(s):  
Kirill Lobastov ◽  
Iliya Schastlivtsev ◽  
Victor Barinov

Abstract Aim: To assess the impact of long-term Diosmin/Hesperidin use in the treatment of proximal deep vein thrombosis (DVT). Methods: This study was a pilot randomized open-label study with blinded outcome assessor - enrolled patients with their first episodes of popliteal-femoral DVT confirmed by duplex ultrasound (DUS). All participants were randomized into two groups: 1.) control that received a standard treatment with oral Rivaroxaban, and 2.) experimental that required additional treatment with Diosmin/Hesperidin 450/50 mg twice a day. Both drugs were used for six months. Patients were followed-up for the whole treatment period with series DUS every two months in order to evaluate the degree of recanalization by popliteal (PV), superficial femoral (SFV), and common femoral (CFV) veins' compressibility. Thrombi extension was assessed by modified Marder score. At the end of the follow-up period, patients were assessed with Villalta and venous clinical severity scores. Post-thrombotic syndrome (PTS) was diagnosed in those who had ≥5 Villalta score. Results: Sixty patients were randomized to the control and experimental groups (n=30 in each group). There were 40 men and 20 women with mean age of 56.3±13.4. Clinically unprovoked DVT was recognized in 65% of cases and left side localization in 45%. The median of Marder baseline scores were 15.0±4.8 and 11.1±4.3 in the experimental and control groups, respectively (p=0.002). After six months of treatment, the Marder score decreased to 0.8±1.6 and 2.8±3.5 in the main control groups, respectively (p=0.006). The generalized linear model repeated measures found a greater reduction in the Marder score (р <0.0001) and increased speed of recanalization on SFV (р <0.0001) with a non-significant tendency in the CFV (p=0.130) and PV (p=0.204) in the experimental group compared to the control one. Full recanalization of the PV at six months was observed in 24 patients (80%), who had received Diosmin/Hesperidin, and only in 17 persons (57%) of the control group (p=0.047). The median of Villalta score in the group treated with Diosmin/Hesperidin was significantly lower compared to the control one (2.9±2.7 versus 5.8±3.0 [p <0.0001]). The same difference was found for VCSS score (2.3±1.9 versus 4.9±1.9 [p <0001]). According to the Villalta score, PTS was recognized in six patients (20%) and 17 patients (57%) in the experimental and control groups, respectively (p=0.004). Conclusion: Long-term treatment with Diosmin/Hesperidin can increase the speed of deep vein recanalization and reduce the incidence of PTS diagnosed at six months in patients with proximal DVT treated with oral rivaroxaban. Disclosures Lobastov: Bayer: Honoraria, Speakers Bureau; Servier: Honoraria, Speakers Bureau. Schastlivtsev:Bayer: Honoraria, Speakers Bureau; Servier: Honoraria, Speakers Bureau. Barinov:Bayer: Honoraria, Speakers Bureau; Servier: Honoraria, Speakers Bureau.


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