生物医学工程学杂志Pub Date : 2025-08-25DOI: 10.7507/1001-5515.202407055
Yueyang Yuan, Zhongping Zhang, Lixin Xie, Haoxuan Huang, Wei Liu
{"title":"[A signal sensing system for monitoring the movement of human respiratory muscle based on the thin-film varistor].","authors":"Yueyang Yuan, Zhongping Zhang, Lixin Xie, Haoxuan Huang, Wei Liu","doi":"10.7507/1001-5515.202407055","DOIUrl":"10.7507/1001-5515.202407055","url":null,"abstract":"<p><p>In order to accurately capture the respiratory muscle movement and extract the synchronization signals corresponding to the breathing phases, a comprehensive signal sensing system for sensing the movement of the respiratory muscle was developed with applying the thin-film varistor FSR402 IMS-C07A in this paper. The system integrated a sensor, a signal processing circuit, and an application program to collect, amplify and denoise electronic signals. Based on the respiratory muscle movement sensor and a STM32F107 development board, an experimental platform was designed to conduct experiments. The respiratory muscle movement data and respiratory airflow data were collected from 3 healthy adults for comparative analysis. In this paper, the results demonstrated that the method for determining respiratory phase based on the sensing the respiratory muscle movement exhibited strong real-time performance. Compared to traditional airflow-based respiratory phase detection, the proposed method showed a lead times ranging from 33 to 210 ms [(88.3 ± 47.9) ms] for expiration switched into inspiration and 17 to 222 ms [(92.9 ± 63.8) ms] for inspiration switched into expiration, respectively. When this system is applied to trigger the output of the ventilator, it will effectively improve the patient-ventilator synchrony and facilitate the ventilation treatment for patients with respiratory diseases.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"733-738"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409494/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Circadian and non-circadian regulation of the male reproductive system and reproductive damage: advances in the role and mechanisms of clock genes].","authors":"Meng-Chao He, Ying-Zhong Dai, Yi-Meng Wang, Qin-Ru Li, Si-Wen Luo, Xi Ling, Tong Wang, Jia Cao, Qing Chen","doi":"10.13294/j.aps.2025.0060","DOIUrl":"https://doi.org/10.13294/j.aps.2025.0060","url":null,"abstract":"<p><p>Recently, male reproductive health has attracted extensive attention, with the adverse effects of circadian disruption on male fertility gradually gaining recognition. However, the mechanism by which circadian disruption leads to damage to male reproductive system remains unclear. In this review, we first summarized the dual regulatory roles of circadian clock genes on the male reproductive system: (1) circadian regulation of testosterone synthesis via the hypothalamic-pituitary-testicular (HPT) and hypothalamic-pituitary-adrenal (HPA) axes; (2) non-circadian regulation of spermatogenesis. Next, we further listed the possible mechanisms by which circadian disruption impairs male fertility, including interference with the oscillatory function of the reproductive system, i.e., synchronization of the HPT axis, crosstalk between the HPT axis and the HPA axis, as well as direct damage to germ cells by disturbing the non-oscillatory function of the reproductive system. Future research using spatiotemporal omics, epigenomic assays, and neural circuit mapping in studying the male reproductive system may provide new clues to systematically unravel the mechanisms by which circadian disruption affects male reproductive system through circadian clock genes.</p>","PeriodicalId":7134,"journal":{"name":"生理学报","volume":"77 4","pages":"712-720"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144938779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程学杂志Pub Date : 2025-08-25DOI: 10.7507/1001-5515.202507053
Yunfa Fu, Haichen Lu
{"title":"[Technical maturity and bubble risks of brain-computer interface (BCI): Considerations from research to industrial translation].","authors":"Yunfa Fu, Haichen Lu","doi":"10.7507/1001-5515.202507053","DOIUrl":"10.7507/1001-5515.202507053","url":null,"abstract":"<p><p>Brain-computer interface (BCI) technology faces structural risks due to a misalignment between its technological maturity and industrialization expectations. This study used the Technology Readiness Level (TRL) framework to assess the status of major BCI paradigms-such as steady-state visual evoked potential (SSVEP), motor imagery, and P300-and found that they predominantly remained at TRL4 to TRL6, with few stable applications reaching TRL9. The analysis identified four interrelated sources of bubble risk: overly broad definitions of BCI, excessive focus on decoding performance, asynchronous translational progress, and imprecise terminology usage. These distortions have contributed to the misallocation of research resources and public misunderstanding. To foster the sustainable development of BCI, this paper advocated the establishment of a standardized TRL evaluation system, clearer terminological boundaries, stronger support for fundamental research, enhanced ethical oversight, and the implementation of inclusive and diversified governance mechanisms.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"651-659"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409503/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程学杂志Pub Date : 2025-08-25DOI: 10.7507/1001-5515.202410003
Song Li, Yunfa Fu, Yan Zhang, Gong Lu
{"title":"[Research on fatigue recognition based on graph convolutional neural network and electroencephalogram signals].","authors":"Song Li, Yunfa Fu, Yan Zhang, Gong Lu","doi":"10.7507/1001-5515.202410003","DOIUrl":"10.7507/1001-5515.202410003","url":null,"abstract":"<p><p>Electroencephalogram (EEG) serves as an effective indicator of detecting fatigue driving. Utilizing the open accessible Shanghai Jiao Tong University Emotion Electroencephalography Dataset (SEED-VIG), driving states are divided into three categories including awake, tired and drowsy for investigation. Given the characteristics of mutual influence and interdependence among EEG channels, as well as the consistency of the graph convolutional neural network (GCNN) structure, we designed an adjacency matrix based on the Pearson correlation coefficients of EEG signals among channels and their positional relationships. Subsequently, we developed a GCNN for recognition. The experimental results show that the average classification accuracy of driving state categories for 20 subjects, from the SEED-VIG dataset under the smooth feature of differential entropy (DE) linear dynamic system is 91.66%. Moreover, the highest classification accuracy can reach 98.87%, and the average Kappa coefficient is 0.83. This work demonstrates the reliability of this method and provides a guideline for the research field of safe driving brain computer interface.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"686-692"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409490/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程学杂志Pub Date : 2025-08-25DOI: 10.7507/1001-5515.202406024
Zhengyan Deng, Peng Xi, Juan Tang, Qiushi Ren, Yuanjun Yu
{"title":"[Advances in multimodal biomedical imaging of small animals].","authors":"Zhengyan Deng, Peng Xi, Juan Tang, Qiushi Ren, Yuanjun Yu","doi":"10.7507/1001-5515.202406024","DOIUrl":"10.7507/1001-5515.202406024","url":null,"abstract":"<p><p>Small animal multimodal biomedical imaging refers to the integration of multiple imaging techniques within the same system or device to acquire comprehensive physiological and pathological information of small animals, such as mice and rats. With the continuous advancement of biomedical research, this cutting-edge technology has attracted extensive attention. Multimodal imaging techniques, based on diverse imaging principles, overcome the limitations of single-modal imaging through information fusion, significantly enhancing the overall system's sensitivity, temporal/spatial resolution, and quantitative accuracy. In the future, the integration of new materials and artificial intelligence will further boost its sensitivity and resolution. Through interdisciplinary innovation, this technology is expected to become the core technology of personalized medicine and expand its applications to drug development, environmental monitoring, and other fields, thus reshaping the landscape of biomedical research and clinical practice. This review summarized the progress on the application and investigation of multimodal biomedical imaging techniques, and discussed its development in the future.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"841-846"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程学杂志Pub Date : 2025-08-25DOI: 10.7507/1001-5515.202503043
Hongyue Zu, Ping Zhan, Hui Yu, Weidong Wang, Hongyun Liu
{"title":"[Research progress in electroencephalogram-based brain age prediction].","authors":"Hongyue Zu, Ping Zhan, Hui Yu, Weidong Wang, Hongyun Liu","doi":"10.7507/1001-5515.202503043","DOIUrl":"10.7507/1001-5515.202503043","url":null,"abstract":"<p><p>Brain age prediction, as a significant approach for assessing brain health and early diagnosing neurodegenerative diseases, has garnered widespread attention in recent years. Electroencephalogram (EEG), an non-invasive, convenient, and cost-effective neurophysiological signal, offers unique advantages for brain age prediction due to its high temporal resolution and strong correlation with brain functional states. Despite substantial progress in enhancing prediction accuracy and generalizability, challenges remain in data quality and model interpretability. This review comprehensively examined the advancements in EEG-based brain age prediction, detailing key aspects of data preprocessing, feature extraction, model construction, and result evaluation. It also summarized the current applications of machine learning and deep learning methods in this field, analyzed existing issues, and explored future directions to promote the widespread application of EEG-based brain age prediction in both clinical and research settings.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"832-840"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生理学报Pub Date : 2025-08-25DOI: 10.13294/j.aps.2025.0072
Bing-Xin Gao, Cao Wang, Rui-Xian Jiang, Wei-Ming Tian
{"title":"[Space magnetic environment and circadian rhythm].","authors":"Bing-Xin Gao, Cao Wang, Rui-Xian Jiang, Wei-Ming Tian","doi":"10.13294/j.aps.2025.0072","DOIUrl":"https://doi.org/10.13294/j.aps.2025.0072","url":null,"abstract":"<p><p>In recent years, China's manned space program has advanced rapidly, with deep space exploration missions such as manned lunar landing steadily progressing, leading to a significant extension of astronauts' duration in outer space. In this context, the impact of the space magnetic field environment on astronaut health has become increasingly conspicuous. Characterized by its complexity, the spatial magnetic field indirectly regulates the circadian rhythm system by interfering with mitochondrial functions, such as electron transport chain activity, ATP synthesis efficiency, and reactive oxygen species (ROS) balance. This disruption can lead to circadian misalignment, sleep disorders, metabolic dysregulation, and other issues, severely compromising astronauts' physical and mental well-being, as well as mission performance. Currently, researchers have carried out extensive investigations into the influence of the space magnetic environment on circadian rhythms. Nevertheless, due to disparities in magnetic field parameters, exposure durations, and the model organisms employed in experiments, the results have been inconsistent. This review systematically elaborates on ground-based simulation technologies for spatial magnetic field environments and their applications, summarizes the effects of magnetic fields with varying intensities and types on core circadian rhythm biomarkers in model organisms and humans, and explores the underlying molecular and physiological mechanisms of magnetic field-induced circadian rhythm perturbation. This work aims to deepen the understanding of the mechanisms of the space magnetic environment on biological rhythms, and establish a scientific basis for formulating adaptive protective strategies centered on circadian regulation for astronauts, thereby ensuring the successful implementation of long-term deep-space missions.</p>","PeriodicalId":7134,"journal":{"name":"生理学报","volume":"77 4","pages":"721-730"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144938448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程学杂志Pub Date : 2025-08-25DOI: 10.7507/1001-5515.202410050
Juntong Lyu, Yining Wang, Wenbin Shi, Pengyan Tao, Jianhong Ye
{"title":"[Evaluation method and system for aging effects of autonomic nervous system based on cross-wavelet transform cardiopulmonary coupling].","authors":"Juntong Lyu, Yining Wang, Wenbin Shi, Pengyan Tao, Jianhong Ye","doi":"10.7507/1001-5515.202410050","DOIUrl":"10.7507/1001-5515.202410050","url":null,"abstract":"<p><p>Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices. To validate the superiority of the proposed method under nonstationary and low signal-to-noise ratio conditions, simulations were first conducted to demonstrate the performance strength of the proposed method to the traditional one. Next, the proposed CPC algorithm was applied to analyze cardiac and respiratory data from both elderly and young populations, revealing that young populations exhibited significantly stronger couplings in the high-frequency band compared with their elderly counterparts. Finally, a CPC assessment system was constructed by integrating wearable devices, and additional recordings from both elderly and young populations were collected by using the system, completing the validation and application of the aging effect assessment algorithm and the wearable system. In conclusion, this study may offers methodological and system support for assessing the aging effects on the ANS.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"748-756"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409497/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Research on hybrid brain-computer interface based on imperceptible visual and auditory stimulation responses].","authors":"Zexin Pang, Yijun Wang, Qingpeng Dong, Zijian Cheng, Zhaohui Li, Ruoqing Zhang, Hongyan Cui, Xiaogang Chen","doi":"10.7507/1001-5515.202504033","DOIUrl":"10.7507/1001-5515.202504033","url":null,"abstract":"<p><p>In recent years, hybrid brain-computer interfaces (BCIs) have gained significant attention due to their demonstrated advantages in increasing the number of targets and enhancing robustness of the systems. However, Existing studies usually construct BCI systems using intense auditory stimulation and strong central visual stimulation, which lead to poor user experience and indicate a need for improving system comfort. Studies have proved that the use of peripheral visual stimulation and lower intensity of auditory stimulation can effectively boost the user's comfort. Therefore, this study used high-frequency peripheral visual stimulation and 40-dB weak auditory stimulation to elicit steady-state visual evoked potential (SSVEP) and auditory steady-state response (ASSR) signals, building a high-comfort hybrid BCI based on weak audio-visual evoked responses. This system coded 40 targets via 20 high-frequency visual stimulation frequencies and two auditory stimulation frequencies, improving the coding efficiency of BCI systems. Results showed that the hybrid system's averaged classification accuracy was (78.00 ± 12.18) %, and the information transfer rate (ITR) could reached 27.47 bits/min. This study offers new ideas for the design of hybrid BCI paradigm based on imperceptible stimulation.</p>","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"42 4","pages":"660-667"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生理学报Pub Date : 2025-08-25DOI: 10.13294/j.aps.2025.0065
Deng-Feng Liu, Yi-Chun Zhang, Jia-Da Li
{"title":"[Circadian rhythm disturbances and neurodevelopmental disorders].","authors":"Deng-Feng Liu, Yi-Chun Zhang, Jia-Da Li","doi":"10.13294/j.aps.2025.0065","DOIUrl":"https://doi.org/10.13294/j.aps.2025.0065","url":null,"abstract":"<p><p>Neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and intellectual developmental disorder (IDD), are highly prevalent and lack effective treatments, posing significant health challenges. These disorders are frequently comorbid with disruptions in sleep rhythms, and sleep-related indicators are often used to assess disease severity and treatment efficacy. Recent evidence has highlighted the crucial roles of circadian rhythm disturbances and circadian clock gene mutations in the pathogenesis of NDDs. This review focuses on the mechanisms by which circadian rhythm disruptions and circadian clock gene mutations contribute to cognitive, behavioral, and emotional disorders associated with NDDs, particularly through the dysregulation of dopamine system. Additionally, we discussed the potential of targeting the circadian system as novel therapeutic strategies for the treatment of NDDs.</p>","PeriodicalId":7134,"journal":{"name":"生理学报","volume":"77 4","pages":"678-688"},"PeriodicalIF":0.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144938066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}