Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

Objective To establish a stable and reliable sepsis model of rat after liver transplantation (LT) for clinical translational research and analyze its characteristics. Methods The "two-sleeve method" was used to establish the in situ LT model of SD rats, and the sepsis model was constructed through cecal ligation and puncture (CLP) at 3 d after the operation. SD rats were randomly divided into 3 groups: sham operation group (Sham group), LT group, and LT + CLP group, with 6 rats in each group. The changes in body weight, rectal temperature and survival rate were compared, and the sepsis score was used for evaluation. The levels of blood biochemical indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea (Urea), creatinine (Cr), creatine kinase (CK), lactate dehydrogenase (LDH)] and inflammatory factors [interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF)-α] in each group were detected, and the pathological changes and cell apoptosis in different organs were observed. Results Compared with the Sham group, the body weight of the LT group and LT + CLP group decreased (all P<0.05). The rectal temperature of the LT + CLP group showed a continuous downward trend after the operation, the sepsis score increased sharply after the operation, and the survival rate dropped to 16.7%, and the differences between the Sham group, LT group and LT + CLP group were statistically significant (all P<0.05). The levels of ALT, AST, Urea, Cr, CK, LDH, and serum IL-1β, IL-6, IL-10 and TNF-α in the LT + CLP group were higher than those in the Sham group and LT group rats within 72 hours after the operation(all P<0.05). The pathological examination of the LT + CLP group showed severe tissue structure destruction, necrosis and infiltration of inflammatory cells in multiple organs, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining showed an increased level of cell apoptosis in multiple organs. Conclusions Using liver transplantation combined with CLP, a stable animal model of liver transplantation infection is successfully established, which exhibits a high mortality rate, significant multi-organ damage and intense inflammatory response, providing an ideal animal model for transplantation infection research.

Objective To analyze the changes of levels of serum soluble growth stimulation expressed gene 2 (sST2) and albumin (ALB) in patients with chronic heart failure (CHF) and their correlation with prognosis. Methods The data of 216 patients with CHF (CHF group) and 98 healthy subjects with physical examination (healthy control group) were retrospectively analyzed. The changes in levels of serum sST2 and ALB between both groups and among different grades of New York Heart Association (NYHA), and their correlation with NYHA grading and cardiac function and their diagnostic value on the prognosis in patients with CHF were compared. Results The level of serum sST2 and LVEF value of CHF group were significantly higher than those of healthy control group (P<0.05) while the level of serum ALB was significantly lower than that of healthy control group (P<0.05). There were significant differences in the levels of serum sST2 and ALB and LVEF value among patients with different HYHA grades and pairwise comparison between the any two grades (P<0.05). Serum sST2 level in patients with CHF was positively correlated with NYHA grading (P<0.001) and was negatively correlated with LVEF (P<0.001), and serum ALB level was negatively correlated with NYHA grading (P<0.001), and was positively correlated with LVEF (P<0.001). Serum sST2 level of poor prognosis group was significantly higher than that of good prognosis group (P<0.05) while serum ALB level was significantly lower than that of good prognosis group (P<0.05). ROC curve analysis of serum sST2 combined with ALB in diagnosing poor prognosis in CHF patients showed that the AUC and sensitivity were 0.907 and 98.04%, which were higher than the single diagnosis, and the specificity was 81.82%, which was lower than the single diagnosis. Conclusion The levels of serum sST2 and ALB in patients with CHF are correlated with NYHA grading and cardiac function, and the combination of the two indicators has high diagnostic value on predicting the poor prognosis of patients.

Olfactory diagnosis refers to the method of diagnosing diseases by smelling the odor emitted from the patient's body,secretions and excreta,and the odor of the sick room.It is one of the important diagnostic methods under the guidance of traditional Chinese medicine(TCM)theory,and is included in the"inquiry and olfaction"of TCM.In recent years,there has been rapid development in medical-engineering integration,artificial intelligence,big data,and other interdisciplinary fields.This has been promoting the TCM gradually to develop towards accurate,efficient and personalized medical treatment,which has opened a new era of"Smart TCM".In this paper,the ancient literature related to olfactory diagnosis was systematically reviewed,the developmental characteristics of olfactory diagnosis theories in various periods was sorted out,and the different views of TCM specialists on the odors emitted by the human body in physiological and pathological states was summarized.The paper is to explore the origin of TCM olfactory diagnosis and its periodization,clarify the diagnosis of abnormal odors,corresponding to the nature,etiology and prognosis of the disease,and clarify the development of TCM olfactory diagnosis.It provides a theoretical source and literature basis for promoting the research of"smart olfactory diagnosis of TCM"and facilitating the development of objectivity,standardization and intelligence of olfactory diagnosis in TCM.

Objective To propose a preventive maintenance strategy of the heating,ventilation and air-conditioning(HVAC)system in pharmacy intravenous admixture services(PIVAS)based on the reliability centered maintenance(RCM)method so as to provide references for PIVAS equipment maintenance.Methods Firstly,a HVAC system RCM review team was formed,and the failure modes and impacts of important functional components of the equipment were analyzed to clarify the consequences of the failure of each functional component under the premise of ensuring the safety and integrity of the equipment and with the goal of minimizing the loss of maintenance downtime and the consumption of maintenance resources.Secondly,with a standardized logical decision-making procedure the preventive maintenance strategy was determined and implemented based on the consequences of functional failure.Finally,statistical analyses were carried out on such equipment indicators as performance parameter qualification rate,failure rate and maintenance cost before and after the RCM method-based strategy was executed,in order to evaluate the efficacy of the strategy.Results The RCM method-based preventive maintenance strategy had the performance qualification rate increased from 97.47%to 99.06%(χ2=24.139,P<0.01),the failure rate decreased from 0.24%to 0.03%(χ2=13.519,P<0.01)and the maintenance cost reduced by 11.5%,from RMB 134,200 to 118,700.Conclusion The RCM method-based preventive maintenance strategy provides reliable equipment for PIVAS and lowers the maintenance cost effectively,and references are given for the development of automated and intelligent equipment maintenance strategies for PIVAS.[Chinese Medical Equipment Journal,2025,46(10):78-83]

Aim To investigate the effects of sodium lactate(NALA)on right heart failure induced by monocrotaline(MCT)-induced pulmonary arterial hy-pertension in rats and to reveal the underlying mecha-nisms.Methods Forty male Sprague-Dawley(SD)rats were randomly allocated into four groups,with ten rats in each group,namely,MCT group,NALA group,and NALA+MCT group;the MCT and NALA+MCT groups were administered a single intraperito-neal injection of MCT at 60 mg·kg-1 to induce pul-monary hypertension,and one week later,the NALA and NALA+MCT groups received intraperitoneal in-jections of NALA at 0.1 g·kg-1(once a day,for 5 weeks),while the CON and MCT groups received e-qual volumes of physiological saline(once a day,for 5 weeks);right heart function was assessed using echo-cardiography,right ventricular and pulmonary artery remodeling were evaluated via histopathological sec-tions,and the expression levels of ANP,BNP,and in-flammatory factors were measured by ELISA,along with assessments of oxidative stress levels,Western blot detection of the expression levels of proteins in the TLR4/NF-κB signaling pathway.Results Compared to the CON group,the MCT group exhibited increased RVSP and RVHI,decreased right heart function,in-creased collagen fiber deposition,and elevated oxida-tive stress and inflammatory factor expression,and the expression levels of proteins in the TLR4/NF-κB signa-ling pathway increased(P＜0.05);compared to the MCT group,the NALA+MCT group showed reduced RVSP and RVHI,improved right heart function,atten-uated pulmonary vascular remodeling,decreased ex-pression of ANP,BNP,inflammatory factors,and H2O2,along with increased antioxidant enzyme expres-sion,and the expression levels of proteins in the TLR4/NF-κB signaling pathway decreased(P＜0.05).Conclusion NALA can inhibit right ventric-ular remodeling in rats with pulmonary hypertension,and the underlying mechanism may involve the allevia-tion of inflammatory responses and oxidative stress through the inhibition of the TLR4/NF-κB signaling pathway.

Olfactory diagnosis refers to the method of diagnosing diseases by smelling the odor emitted from the patient's body,secretions and excreta,and the odor of the sick room.It is one of the important diagnostic methods under the guidance of traditional Chinese medicine(TCM)theory,and is included in the"inquiry and olfaction"of TCM.In recent years,there has been rapid development in medical-engineering integration,artificial intelligence,big data,and other interdisciplinary fields.This has been promoting the TCM gradually to develop towards accurate,efficient and personalized medical treatment,which has opened a new era of"Smart TCM".In this paper,the ancient literature related to olfactory diagnosis was systematically reviewed,the developmental characteristics of olfactory diagnosis theories in various periods was sorted out,and the different views of TCM specialists on the odors emitted by the human body in physiological and pathological states was summarized.The paper is to explore the origin of TCM olfactory diagnosis and its periodization,clarify the diagnosis of abnormal odors,corresponding to the nature,etiology and prognosis of the disease,and clarify the development of TCM olfactory diagnosis.It provides a theoretical source and literature basis for promoting the research of"smart olfactory diagnosis of TCM"and facilitating the development of objectivity,standardization and intelligence of olfactory diagnosis in TCM.

Objective:To systematically analyze the prevalence and influencing factors of psychiatric comorbidities in refractory epilepsy (RE) .Methods:The literature on the prevalence and/or influencing factors of psychiatric comorbidities in adults with RE was electronically searched in China National Knowledge Infrastructure, WanFang Data, VIP, China Biomedical Database, PubMed, Web of Science, Embase, CINAHL, OVID, UpToDate, and Cochrane Library. The search period was from the establishment of the database to July 31, 2024. Two researchers independently conducted literature screening, quality assessment and data extraction, and used RevMan 5.4 for Meta-analysis.Results:A total of 11 papers were included, with a total sample size of 1 953 cases, with a prevalence of 52.00% (cross sectional studies) and 53.00% (cohort studies) . Gender [ OR=4.76, 95% CI (3.69, 6.15) ] , epilepsy disease perception [ OR=1.10, 95% CI (1.01, 1.19) ] , seizure type [ OR=1.63, 95% CI (1.23, 2.15) ] , seizure frequency [ OR=1.54, 95% CI (1.04, 2.29) ] , epileptogenic foci location [ OR=2.72, 95% CI (1.69, 4.37) ] , disease duration [ OR=1.76, 95% CI (1.39, 2.24) ] , and medication [ OR=3.26, 95% CI (2.09, 5.08) ] were the influencing factors of psychiatric comorbidity in RE. Conclusions:The prevalence of psychiatric comorbidities in patients with RE is high, and studies of influencing factors lack specificity. Clinical monitoring of this population should be strengthened, and relevant influencing factors should be comprehensively analyzed to provide intervention targets for early preventive management and to safeguard the long-term management of patients with epilepsy.

Objective To propose a preventive maintenance strategy of the heating,ventilation and air-conditioning(HVAC)system in pharmacy intravenous admixture services(PIVAS)based on the reliability centered maintenance(RCM)method so as to provide references for PIVAS equipment maintenance.Methods Firstly,a HVAC system RCM review team was formed,and the failure modes and impacts of important functional components of the equipment were analyzed to clarify the consequences of the failure of each functional component under the premise of ensuring the safety and integrity of the equipment and with the goal of minimizing the loss of maintenance downtime and the consumption of maintenance resources.Secondly,with a standardized logical decision-making procedure the preventive maintenance strategy was determined and implemented based on the consequences of functional failure.Finally,statistical analyses were carried out on such equipment indicators as performance parameter qualification rate,failure rate and maintenance cost before and after the RCM method-based strategy was executed,in order to evaluate the efficacy of the strategy.Results The RCM method-based preventive maintenance strategy had the performance qualification rate increased from 97.47%to 99.06%(χ2=24.139,P<0.01),the failure rate decreased from 0.24%to 0.03%(χ2=13.519,P<0.01)and the maintenance cost reduced by 11.5%,from RMB 134,200 to 118,700.Conclusion The RCM method-based preventive maintenance strategy provides reliable equipment for PIVAS and lowers the maintenance cost effectively,and references are given for the development of automated and intelligent equipment maintenance strategies for PIVAS.[Chinese Medical Equipment Journal,2025,46(10):78-83]

Objective:To compare the survival outcomes of different subsequent treatment regimens in patients with locally advanced hypopharyngeal squamous cell carcinoma (HPSCC) who achieved partial response (PR) after neoadjuvant chemotherapy based on the gross tumor volume regression rate (GTVRR).Methods:This retrospective study included patients with locally advanced HPSCC treated at the Department of Head and Neck Surgery, Beijing Tongren Hospital, from January 2011 to December 2023. The cohort included 135 males and 3 females, aged from 35 to 77 years. All patients received 2-3 cycles of TPF regimen (paclitaxel+cisplatin+5-fluorouracil) neoadjuvant chemotherapy. Subsequent treatments included concurrent chemoradiotherapy or surgery combined with postoperative adjuvant radiotherapy. The impacts of different subsequent treatment modalities on the survivals and prognoses of patients were compared based on GTVRR thresholds of 50% and 70%. The χ 2 test was used to analyze influencing factors; survival analysis and intergroup comparisons were performed using the Kaplan-Meier method and Log-rank test; prognostic factors were assessed using univariate and multivariate Cox regression analyses. Results:The 5-year OS and PFS rates were 56.5% and 47.9%, respectively, while, the 10-year OS and PFS rates were 25.8% and 21.2%, respectively. The median OS was 75 months, and the median PFS was 48 months. The laryngeal function preservation rate for the entire cohort was 83.3%. The patients who underwent surgery combined with postoperative radiotherapy had significantly better OS and PFS outcomes than those treated with concurrent chemoradiotherapy ( P<0.05). Stratification based on GTVRR revealed that the surgery plus postoperative radiotherapy regimen was particularly effective for PR patients with a GTVRR of 30%-70%, showing significantly better OS and PFS compared to the concurrent chemoradiotherapy group ( P<0.05). Conclusion:The optimal subsequent treatment for PR-HPSCC may be surgery-based comprehensive treatment, particularly for patients with a GTVRR of 30%-70%. This study offers valuable insights for the stratified treatment of HPSCC, which could contribute to improving overall patient prognosis.