Abstract:In order to further explore the medical information on long-term video electroencephalogram(EEG)reports of epilepsy,we utilized a sample of 24 h long-term video EEG reports collected from 1440 epilepsy patients between 2019 and 2021.An annotation schema was developed by integrating clinical guidelines and expert knowledge.Through multiple rounds of manual annotation and vali-dation,a corpus was constructed containing 23 entities and 7 types of relationships,with a total of 203 929 named entities and 221 505 entity relationships annotated.The consistency of annotations for entities and relationships in multiple rounds was 99.7%and 96.4%,respectively.This study has established the first annotated dataset for long-term epilepsy video EEG reports in the field of Chinese health information processing.It can provide a data foundation for subsequent research on deep information mining,development of clinical decision support system and automated report generation.

Abstract:Existing eye movement detection methods mainly focus on the open-eye state,but there are few studies on the closed-eye scenarios.We designed and developed an eye movement detection system based on the piezoelectric effect.Firstly,the system used polyvinylidene fluoride(PVDF)piezoelectric film to detect pressure changes on the eyelid skin surface caused by eye movements.Then,the piezoelectric signal was amplified and filtered,and the signal features were extracted by using sliding window.Finally,re-gression models such as random forest and multilayer perceptron were employed to predict eye movement frequency.The results showed that the system had achieved a complete workflow from sensor input to monitoring display interface output.This research enables real-time eye movement frequency detection and offers the advantages of modularization and adjustability.It is suitable for closed-eye appli-cation scenarios like intraoperative monitoring in neurosurgery.

Abstract:For high-throughput imaging applications such as three-dimensional cardiac imaging,we proposed a high-throughput,cascaded ultrasound imaging system based on field programmable gate array(FPGA).Firstly,a modular 256-channel PCIe FPGA ul-trasound hardware platform was developed,together with a synchronized"one-master three-slave"cascaded architecture to ensure cir-cuit reliability and cross-board timing synchronization.Then,for high-speed links,a LVDS data-processing method with adaptive tim-ing training and an AXI-bus-based FPGA transmission mechanism were designed to achieve robust multi-channel data alignment,buffering,and high-speed uplink transmission.Experimental results demonstrated that the power supply of this system was stable and effective.The system reliably supported transmit/receive operation with a 5 MHz center frequency,±70 V high-voltage pulses at a pulse repetition frequency of 2 kHz.The DDR4 buffering bandwidth≥8 GB/s,and the PCIe transfer bandwidth≥5 GB/s.Integrated transmit-receive tests using a cardiovascular phantom system showed clear echo signals.The system can provide a feasible low-power hardware solution and real-time data-processing platform for high-throughput ultrasound imaging,with promising application potential.

Abstract:To assist in the diagnosis and treatment of rheumatoid arthritis(RA),we employed bioinformatics approaches to identi-fy and validate key biomarkers associated with RA.Firstly,the transcriptomic dataset of RA was obtained from the Gene Expression Omnibus(GEO)database.Differentially expressed genes were analyzed and screened,followed by functional enrichment analysis to in-vestigate their biological roles.Subsequently,six hub genes(CCR7,CD2,CD27,CD8A,GZMB and IL7R)were identified in the protein-protein interaction(PPI)network,and the expression levels of these genes were verified using independent datasets and real-time quantitative polymerase chain reaction(RT-qPCR).The study demonstrated that miR-9-5p and IL7R were the core components of a competing endogenous ribonucleic acid(CeRNA)network,and six key genes were identified.Among them,IL7R and miR-9-5p might play a crucial role in the progression of RA.This research can provide a new direction for the diagnosis and treatment of RA.

Abstract:To achieve continuous non-invasive blood pressure measurement,a method based on pulse transit time (PTT)was presented.We got PTT from electrocardiograph(ECG)and photoplethysmograph(PPG).The start point of PTT on ECG-R wave point and the stop point of PTT on PPG characteristic point was gotten.The mathematical model of systolic blood pressure (SBP)and dias-tolic blood pressure (DBP)were gotten by making regression analysis between PTT and SBP or DBP measured with a mercury sphyg-momanometer.Forty-one healthy young people were studied using this method.The correlation coefficients of SBP and DBP between our system and the mercury sphygmomanometer were 0.82 and 0.73,respectively.It was found that the estimated SBP and DBP dif-fered from the reference BP by 0.15 ±2.05 mmHg and 0.12 ±2.16 mmHg,respectively.The Bland-Altman method was used to check the consistency of the blood pressure measured by our system and the mercury sphygmomanometer.The results show that blood pressure measured by this method is good agreed with which measured by mercury sphygmomanometer.

Abstract:In order to solve the problem of doctor who in clinical activities out hospital cannot obtain the patient''s hospital and discharge clinical information at the same time,leading to medical information rupture and the patients can''t obtain their clinical information anytime and anywhere.The HL7 FHIR(fast healthcare interoperability resources,FHIR) standard was used as the core information model which transformed the heterogeneous systems information into a uniform format.And the RESTful WebService which conjuncted FHIR was used as the integration technology of heterogeneous system to build an data integration platform which support inside and outside hospital diagnosis information interoperable.The integration platform build on FHIR which tested ran for three months in the department actual environment.The platform integration convenient, interoperability is strong.And It''s helpful to solve the problem of the medical information discontinuous.

Abstract:To study the constant -current characteristics of the Voltage Control Current source (VCCS)used in bioelectrical impedance measurement system .Three types current source were discussed ,including improved Howland current pump ,Howland current pump with voltage follower and bipolar current source with DC stable loop.The relationship between the output impedance and circuit parameters was also analyzed.NI Multisim12.0 software were used to compare the constant-current characteristics of the three current source,and two better solutions were improved and selected for physical test.The simulation and experimental results showed that the output current of the bipolar current source with stable DC loop was most stable when the frequency or load was changed.It is the best current source in breast electrical impedance measurement.