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1.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-823870

ABSTRACT

To explore therapeutic effect of early hyperbaric oxygen therapy (EHOT) on acute cerebral infarc‐tion (ACI) patients and its influence on neurological function ,blood oxygen saturation and serum levels of macrophagocyte colony stimulating factor (M‐CSF) ,oxidized low density lipoprotein (ox‐LDL) and soluble intercellular adhesion molecule (sICAM)‐1. Methods :The 100 ACI patients treated in our hospital from Mar 2017 to Dec 2017 were randomly and equal‐ly divided into routine treatment group and HOT group (received EHOT based on routine treatment ) ,both groups were treated for 14 d.Score of United States National Institutes of Health Stroke Score (NIHSS) ,blood glucose ,blood oxygen saturation ,serum levels of lactic acid ,M‐CSF ,ox‐LDL and sICAM‐1 were observed and compared between two groups be‐fore and after treatment .Results :As time went on ,NIHSS score significantly reduced in two groups ,P<0.05 or <0.01. On 7d ,14d and 21d after treatment ,NIHSS score of HOT group was significantly lower than that of routine treatment group , P<0.05 or <0.01. Compared with routine treatment group after treatment ,there was significant rise in blood ox‐ygen saturation [ (83.54 ± 13.87)% vs.(99.29 ± 14.62)%] ,and significant reductions in levels of blood glucose [ (5.89 ± 2.36) mmol/L vs.(4.75 ± 2.84) mmol/L] ,serum lactic acid [ (5.53 ± 2.63) mmol/L vs.(3.75 ± 2.38) mmol/L] , M‐CSF [ (764.57 ± 10.39) μg/L vs.(634.56 ± 189.54) μg/L] ,ox‐LDL [ (346.65 ± 78.63) μg/L vs.(249.53 ± 74.32) μg/L] and sICAM‐1 [(683.87 ± 168.76) μg/L vs.(543.76 ± 147.84) μg/L] in HOT group ,P<0.05 or <0.01. Conclu‐sion :Early hyperbaric oxygen therapy can significantly improve neurological function and blood oxygen saturation ,reduce serum levels of M‐CSF ,ox‐LDL and sICAM‐1.

2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2017: 1930-1933, 2017 Jul.
Article in English | MEDLINE | ID: mdl-29060270

ABSTRACT

Over the past several years, steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have attracted wide attention in the field of BCIs research due to high information transfer rate, little user training, and applicability to the majority. In conventional recognition methods for training-free SSVEP-based BCIs, the energy difference between the frequencies of electroencephalogram (EEG) background noise is usually ignored, therefore, there is a significant variance among the recognition accuracy of different stimulus frequencies. In order to improve the performance of training-free SSVEP-based BCIs system and balance the accuracy of recognition between different stimulus frequencies, a recognition method based on multitaper spectral analysis and signal-to-noise ratio estimation (MTSA-SNR) is proposed in this paper. A 40-class SSVEP public benchmark SSVEP dataset recorded from 35 subjects was used to evaluate the performance of the proposed method. Under the condition of 2.25s data length, the accuracy of the three methods were 81.1% (MTSA-SNR), 74.5% (canonical correlation analysis, CCA) and 73.4% (multivariate synchronization index, MSI), and the corresponding ITRs were 101 bits/min (MTSA-SNR), 89 bits/min (CCA), 87 bits/min (MSI). In the low frequency range (8-9.8Hz), the average recognition accuracy of the three methods is 82.9% (MTSA-SNR), 82.0% (CCA), 83.3% (MSI). The average accuracy of the three methods was 78.6% (MTSA-SNR), 64.9% (CCA) and 61.8% (MSI) in the high frequency range (14-15.8Hz). According to the results, the proposed method can effectively improve the performance of training-free SSVEP-based BCI system, and balance the recognition accuracy between different stimulation frequencies.


Subject(s)
Signal-To-Noise Ratio , Algorithms , Brain-Computer Interfaces , Electroencephalography , Evoked Potentials, Visual , Neurologic Examination , Photic Stimulation
3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2017: 2126-2129, 2017 Jul.
Article in English | MEDLINE | ID: mdl-29060317

ABSTRACT

Recently, transcranial direct current stimulation (tDCS) has attracted increasing attention in the field of neuro-modulation because of its capacity to modulate cortical excitability noninvasively. Previous findings have demonstrated its effectiveness in visual studies. However, few studies have referred to steady-state visual evoked potential (SSVEP), a promising visual evoked potential that has been widely used in brain-computer interfaces. The present work investigated the effects of tDCS on SSVEPs. Sham and 1 mA real tDCS (anodal and cathodal) in a PO7-PO8 montage were administered for 15 min in 12 healthy subjects. Compared with sham conditions, both anodal and cathodal tDCS significantly decreased 7-Hz SSVEP power. Also, anodal tDCS increased 10-Hz SSVEP power. Our study demonstrated that tDCS over occipital areas altered brain activity evoked by visual stimuli.


Subject(s)
Transcranial Direct Current Stimulation , Electrodes , Evoked Potentials, Motor , Evoked Potentials, Visual , Humans , Motor Cortex , Transcranial Magnetic Stimulation
4.
Annu Int Conf IEEE Eng Med Biol Soc ; 2016: 5873-5876, 2016 Aug.
Article in English | MEDLINE | ID: mdl-28269590

ABSTRACT

Steady-State Visual Evoked Potential (SSVEP) based Brain-Computer Interface (BCI) system is an important BCI modality. It has advantages such as ease of use, little training and high Information Transfer Rate (ITR). Traditional SSVEP based BCI systems are based on the Frequency Division Multiple Access (FDMA) approach in telecommunications. Recently, Time Division Multiple Access (TDMA) was also introduced to SSVEP based BCI to enhance the system performance. This study designed a new time-frequency joint coding method to utilize the information coding from both time and frequency domains. TDMA using Different Frequency (DF) mode and Same Frequency (SF) mode were compared to the traditional FDMA mode in the offline experiment. The result showed that the DF mode had better performance than the other two modes. The mean and the standard deviation of accuracy and ITR of the online experiment was 83.3%±5.5% and 130.3 + 14.9 bits/min (trial time: 1.25s) and 92.0%±7.5% and 136.6 + 19.8 bit/min (trial time: 1.5s). The average typing speed for the word-copy spelling task was 14.9 characters per minute (cpm) (trial time: 1.25s) and 14.8 cpm (trial time: 1.5s). The overall results demonstrate the feasibility and advantage of the proposed time-frequency joint coding method.


Subject(s)
Brain-Computer Interfaces , Evoked Potentials, Visual/physiology , Adult , Algorithms , Electroencephalography , Female , Humans , Male , Photic Stimulation , Young Adult
5.
Chinese Journal of Geriatrics ; (12): 720-722, 2013.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-436890

ABSTRACT

Objective To study the effect of mecobalamine treatment on acute cerebral infarction combined with high homocysteine (Hcy) and post-stroke depression.Methods A total of 160 cerebral infarction patients with high Hcy were collected from January 2010 to December 2011 in our hospital.Patients were randomly divided into two groups:the control group (n=80,with routine therapy) and the treatment group (n=80,with routine therapy plus intramuscular injection with folic acid 500μg for 8 weeks).The plasma concentration of Hcy was determined by fluoresene polarization immunoassay.The improvement of depression,anxiety and life skills in patients were assessed by selfmade questionnaires and self-reporting inventory (SLC 90).Results There were no significant differences in plasma Hcy level in control group before versus after treatment [(21.86±4.76) μmol/L vs.(18.67±3.81) μmol/L,t=0.40,P>0.05].Compared with before treatment,plasma Hcy level in treatment group was significantly reduced 4 weeks after treatment [(11.66 ± 3.28) μmol/L vs.(22.68±5.16) μmol/L,t=2.55,P<0.01].There was a significant difference in plasma Hcy level between the treatment group and the control group after treatment [(11.66 ±3.28) μmol/L vs.(18.67±3.81) μmol/L,t=7.40,P<0.01].TheSCL-90 total score,positive symptom items score,the total score and the average score of positive symptom items were significantly lower in treatment group after treatment than in treatment group before treatment (t=2.04,2.97,5.45,4.21,all P<0.05) and in control group after treatment (t 7.40,7.58,12.78,4.15,all P<0.05).The improvement on symptomatic patterns including somatization,obsessive-compulsive problems,interpersonal sensitivity,depression,anxiety and fear were better in treatment group after treatment than in treatment group before treatment (t 2.34,2.28,2.51,2.19,3.40,2.35,allP<0.05) and in control group after treatment (t=4.10,5.04,5.12,4.18,5.48,5.20,all P<0.05).There were no significant differences in the improvement in paranoid ideation between the treatment group before and after treatment (t=1.40,P>0.05),between the treatment group and the control group after treatment (t=1.48,P>0.05),and between the control group before and after treatment (P>0.05).Conclusions Mecobalamine can effectively reduce plasma Hcy level in cerebral infarction patients with high plasma Hcy,and alleviate the symptoms of anxiety,depression,nervousness and other emotions.

6.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-249568

ABSTRACT

In order to deduce the sleep stages from heart rate, we analyze the heart rate variability (HRV) with hidden Markov model (HMM) for the identification of different characters of HRV within different sleep stages. Special technique is used to compensate the individual diversity. The relationship between the sleep stage and the ultra-low frequency components of HRV is also considered. Since the detection of heart rate hardly disturbs the sleep, the proposed method provides a simple approach to evaluating the sleep stage without disturbing the sleep. Our experiments have proved that this method meets the requirements of wide applications, especially the requirement of routine use in monitoring the normal subjects' sleep.


Subject(s)
Adult , Humans , Middle Aged , Electrocardiography , Heart Rate , Markov Chains , Models, Biological , Sleep Stages , Physiology
7.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-291120

ABSTRACT

It is estimated that epilepsy, a chronic disorder of the nervous system, affects about 0.5%-2% of the population and about 10%-50% do not respond well to current antiepileptic medications and may not be candidates for surgery. For these patients, the unpredictability of seizure onset is a major cause of disability and mortality. Therefore, anticipation of an imminent seizure would be beneficial to patients because it could provide time for the application of preventive measures to keep the risk of seizure to a minimum. This paper reviews the feasibilities, the progress, existing problems and possible applications in the field of epileptic seizure prediction.


Subject(s)
Humans , Algorithms , Diagnosis, Computer-Assisted , Methods , Electroencephalography , Methods , Epilepsy , Diagnosis , Seizures , Diagnosis , Signal Processing, Computer-Assisted
8.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-525404

ABSTRACT

Objectives To identify genotypes of 31 Sporothrix schenckii (S.schenckii) strains by Southern blotting and to explore the relationship between genotypes and geographic distributions and clinical manifestations.Methods Total DNA was extracted by cetyltriethyl ammonium bromide (CTAB).The polymorphisms were detected by hybridization of ApaⅠ-digested S.schenckii genomic DNA with a probe amplified from the small-subunit rDNA and adjacent internal transcribed spacer (ITS) regions.The band patterns manifested by Southern blotting were employed to investigate genotypes of 31 strains of S.schenckii collected from five different areas in China.Results Of 31 strains of S.schenckii,15 individual patterns (DNA Type A-O) were recognized.Type A to C accounted for 51.61% of all strains.Conclusion The Southern blotting provides a highly sensitive and reliable means for DNA typing of S.schenckii.It is also found that there is an obvious correlation between DNA patterns and different geographic distribution and clinical manifestations.

9.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-334343

ABSTRACT

Evoked potentials are widely used in clinical neurophysiology. The conventional analysis methods of evoked potentials are based on the waves in time domain. Analysis based on time-spatial domain will provide more information than simple time domain analysis. The existing temporal-spatial analysis methods, such as microstate, frequency domain analysis and event-related coherence, are introduced in this paper.


Subject(s)
Humans , Evoked Potentials , Statistics as Topic , Methods , Time Factors
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