ObjectiveVideo electroencephalography (VEEG) monitoring for health education of elderly patients based on a process-based communication model, and explore the impact of this model on the success rate, negative emotions, nursing satisfaction, and active cooperation rate of such patients.MethodsFrom September 2017 to September 2019, 118 patients with suspected epilepsy, encephalitis and other diseases who required VEEG monitoring in Suining Central Hospital were selected for this study (patients aged 61 to 73 years; 54 males and 64 females). Patients were divided into 2 groups using a random number table method, 59 patients in each group.A group received routine nursing, and B group received health education based on the process communication model. The monitoring success rate, negative emotion, active cooperation rate, and nursing satisfaction were compared between the two groups.ResultsThe total effective rate in the B group was 86.44%, which was significantly higher than 76.27% in the A group (P<0.05). After nursing intervention, the scores of anxiety and depression in the two groups were significantly decreased, but the decline was greater in the B group (P<0.05). The active cooperation rate and nursing satisfaction of the B group were significantly higher than those of the A group (P<0.05).ConclusionCompared with conventional nursing, health education based on process communication mode can significantly improve the success rate of VEEG monitoring in elderly patients, alleviate the negative emotions of patients, improve the active cooperation rate and nursing satisfaction.
Objective To analyze the EEG characteristics and clinical significance of subclinical epilepsy from frontotemporal lobe.Methods A collection of patients with epilepsy who had subclinical seizures monitored by 24-hour video EEG from January 2020 to January 2021 in the Neurology Department of General Hospital of Tianjin Medical University General Hospital, and analyzed the duration of seizures and the number of seizures on the EEG.The characteristics and clinical significance of onset time (sleep period/waking period), interictal discharge, and number of leads involved in seizures.Results A total of 18 patients were enrolled, and 280 clinical seizures (11/18) and 34 clinical seizures (9/18) were captured. Among them, 2 patients had both subclinical seizures and clinical seizures. Frontal lobe origin, 235 subclinical seizures and 15 clinical seizures; temporal lobe origin, 26 subclinical seizures and 19 clinical seizures; frontotemporal lobe origin, subclinical seizures 19 times, no clinical seizures were captured. In the subclinical seizure group (11/18), there were 163 sleep episodes (58.2%) and 117 (41.8%) during waking phase; in the clinical seizure group (9/18), 16 episodes during sleep (47.1%) , 18 seizures (52.9%) in the awake period. Among the leads involved in seizures, <6 leads, 270 subclinical seizures, and no clinical seizures; ≥6 leads, subclinical seizures 10 times, and 34 clinical seizures. In the total duration of seizures: the clinical seizure group was (27.43±17.73) s, with a median value of 30s; the subclinical seizure group was (20.10±15.68) s, with a median value of 13 s. In the analysis of Spearman related factors, the subclinical seizure group was positively correlated with the sleep period (P=0.000), and negatively correlated with the normal nuclear magnetic field (P=0.004).Conclusion The epilepsy originated from the frontotemporal lobe has the characteristics of short clinical seizures, fewer leads involved, more likely to occur during sleep, and subclinical seizures that are more likely to occur when the MRI is abnormal. Therefore, strengthening the monitoring of long-term video EEG for patients with epilepsy and attaching importance to the interpretation of EEG during sleep will help to detect the subclinical seizures of patients and further improve the management of patients with epilepsy.
Video-electroencephalogram (VEEG) monitoring is a valuable tool for diagnosing recurrent partial epilepsy, classification of intractable epilepsy, and evaluation of epilepsy surgery. The role of video EEG in identifying and determining the type of epilepsy and determining the location of seizures has been widely demonstrated, but there is There is a lack of uniform standards for adverse events and management methods during monitoring. In order to improve the quality of long-range video EEG monitoring and reduce the possible impact on patients during monitoring, it is necessary to summarize the possible adverse reactions during monitoring.
The increasing prevalence of the aging population, and inadequate and uneven distribution of medical resources, have led to a growing demand for telemedicine services. Gait disturbance is a primary symptom of neurological disorders such as Parkinson’s disease (PD). This study proposed a novel approach for the quantitative assessment and analysis of gait disturbance from two-dimensional (2D) videos captured using smartphones. The approach used a convolutional pose machine to extract human body joints and a gait phase segmentation algorithm based on node motion characteristics to identify the gait phase. Moreover, it extracted features of the upper and lower limbs. A height ratio-based spatial feature extraction method was proposed that effectively captures spatial information. The proposed method underwent validation via error analysis, correction compensation, and accuracy verification using the motion capture system. Specifically, the proposed method achieved an extracted step length error of less than 3 cm. The proposed method underwent clinical validation, recruiting 64 patients with Parkinson’s disease and 46 healthy controls of the same age group. Various gait indicators were statistically analyzed using three classic classification methods, with the random forest method achieving a classification accuracy of 91%. This method provides an objective, convenient, and intelligent solution for telemedicine focused on movement disorders in neurological diseases.
Objective To explore the actual experience of epileptic patients in video electroencephalogram (VEEG) examination, and to provide reference basis for formulating corresponding nursing strategies and coping methods. MethodsIn this descriptive analysis study, 18 patients (11 males and 7 females, average age 37.78±18.7 years) receiving VEEG from January to April 2022 in the Second Affiliated Hospital of Guangzhou Medical University, underwent a semi-structural interview. Information obtained from the interview was analyzed using the Colaizzi 7-step method. ResultsThe actual experience of epileptic patients in video EEG examination can be summarized into two aspects: the medical experience and the need for nursing care. The medical experience includes positive and negative experience. The positive experience includes good service attitude, professional medical services, good endurance, and being hopeful. The negative experience includes a weird feeling in the head, insomnia, inconvenience in life, eye discomfort, psychological pressure, and pain. The need for nursing care includes needs for knowledge, strong needs for communicating with doctors, needs for humanistic care and female needs for female implementing the equipment. Conclusion Epileptic patients suffer from different degrees of discomfort and psychological pressure during VEEG examination. Both negative and positive experience exist. Medical staff should improve the content of nursing services according to the nursing needs of patients and provide professional VEEG examination services to patients.
ObjectiveTo observe the clinical efficacy of digital 3D heads-up display viewing system (3D viewing system) and intraoperative OCT (iOCT) in vitrectomy for myopic foveoschisis (MF).MethodsA retrospective, consecutive case series. From October 2018 to May 2019, Nineteen eyes of 19 consecutive patients with MF diagnosed in Xiamen Eye Center of Xiamen University who underwent vitrectomy were included in this study. There were 7 males and 12 females, with the mean age of 54.47±11.38 years. The average axial length was 30.40±2.30 mm, the mean logMAR BCVA was 0.56±0.31, the mean central foveal thickness (CFT) was 317.80±151.9.32 μm, the mean max retinal thickness (maxRT) was 556.7±143.7 μm. All the surgeries performed combined with 3D viewing system with iOCT. The standard 25G pars planar vitrectomy were performed with removing the posterior vitreous and indocyanine green (ICG) staining of internal limiting membrane (ILM) and air-fluid exchange. Thirteen of 19 eyes underwent fovea-sparing ILM peeling and the other 6 eyes not. The average follow-up was 4.2±1.4 months. All the patients were on regular follow-up to document the changes on BCVA, anatomical changes in macula, CFT and maxRT. Paired t test was used to compare BCVA, CFT and maxRT before and after surgery.ResultsThe fine images of macula were clearly shown on the 3D viewing system in all eyes. The electronic green filter enhanced the contrast sensitivity of ICG stained images. Clear images of macula were captured by iOCT in all eyes. The average surgical time was 35.5±8.2 min. On the last follow-up, 16 of 19 eyes with MF resolved. The mean CFT was 178.5±103.5 μm, the maxRT was 341.8±83.8.16 μm, and the mean logMAR BCVA was 0.35±0.22. The differences of CFT, maxRT and logMAR BCVA before and after surgery were statistically significant (t=4.181, 7.154, 5.129; P＜0.001). Minimal invisible full thickness macular hole were detected in 2 eyes by iOCT and repaired with auto serum or ILM flap covering. There was no complication associated with the 3D viewing system.Conclusions3D viewing system provides improved contrast and crystal clear macular image stain with ICG in pathological myopia. iOCT can detect the minimal invisible full thickness macular hole during surgery. Both may contribute to improved MF closure rate and BCVA.