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.
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.
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.
ObjectiveTo explore the clinical and video EEG features of patients with post-stroke epilepsy (PSE).MethodsThe clinical data of 68 patients with epilepsy after cerebral infarction and 33 patients with epilepsy after cerebral hemorrhage were analyzed retrospectively from January 2015 to June 2018 in the Affilated Hospital of Jining Medical University. There were 5 cases of early-onset epilepsy, and the rest were late-onset epilepsy. There were 68 cases of cerebral infarction (1 case showed post-infarction hemorrhagic transformation), 33 cases of cerebral hemorrhage; 51 females, 50 males (f∶m = 1.02∶1); the onset age was 45 ~ 101 years, with an average of (68.10 ± 10.26) years.ResultsThe time from seizure to stroke in 101 cases was (28.92 ± 35.61) months, 60 cases (59.40%) ≤ 1 year, 26 cases (25.74%) 1 ~ 5 years, and 15 cases (14.85%) 5 ~ 10 years. Post-stroke epilepsy had no relation to gender (P>0.05). The age of onset is mostly in 60 to 75 years old (62.38%). Seizure often happen within 1 year after stroke (59.4%). The type of attack is focal seizure (77.23%). Cortical infarction (77.94%), cerebral artery stenosis (83.82%), hypertension, diabetes, and atrial fibrillation are risk factors for epilepsy after infarction. The abnormal rate of EEG for PSE is 90.1%, which was manifested as slow wave in the lesion side, epileptic wave in the lesion side or contralateral side.ConclusionsThe location, duration, age and severity of cerebral artery stenosis in patients with PSE are closely related to the occurrence of seizure. VEEG plays an important role in the diagnosis, treatment and prognosis of epilepsy.