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Environmental DNA metabarcoding facilitates integrative conservation assessments and species rediscoveries in tropical biodiversity hotspots. 环境DNA元条形码有助于热带生物多样性热点地区的综合保护评估和物种再发现。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-41937-x
Amadeus Plewnia, Tobias Hildwein, Amanda B Quezada Riera, Andrea Terán-Valdez, Andrew J Crawford, Christopher Heine, Daniela Franco-Mena, Diana Székely, Diego Armijos-Ojeda, Fausto R Siavichay, Jackeline D Arpi, Jazmin Salazar, Jesse Erens, Mónica I Páez-Vacas, Paul Székely, Philipp Böning, Raf Stassen, Sofía Carvajal-Endara, Stefan Lötters, Juan M Guayasamin
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引用次数: 0
Resilient and verifiable outsourced attribute-based non-interactive oblivious transfer protocol for tactical edge networks. 战术边缘网络基于弹性和可验证外包属性的非交互遗忘传输协议。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-40842-7
Weiwei Liu, Binghao Fu, Lulin Wang

Tactical Edge Networks (TENs) serve as critical infrastructure for disseminating time-sensitive intelligence under resource-constrained and hostile conditions such as Network-Centric Warfare (NCW) and the Internet of Battlefield Things (IoBT), where secure and efficient data sharing is a core requirement. To ensure security and privacy in such environments, strict adherence to the "need-to-know" principle is imperative, requiring that sensitive mission data are accessible only to entities with specific authorization attributes. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) binds fine-grained access policies to ciphertexts and permits decryption only for attribute-satisfying users, rendering it inherently suitable for need-to-know control in these settings. However, the prohibitive computational overhead of bilinear pairings in CP-ABE is often impractical for lightweight frontline terminals in tactical edge networks. While outsourcing decryption to Tactical Cloud Nodes (TCNs) can alleviate this burden, it brings critical vulnerabilities in zero-trust deployments, including key exposure upon node capture, incorrect computation results, and the leakage of query intent to an honest-but-curious Command Center (CC). To address these issues, we present a novel resilient and verifiable outsourced attribute-based non-interactive oblivious transfer protocol. The proposed framework balances system efficiency with security and privacy, as well as addresses the inherent computational asymmetry between resource-constrained tactical edge devices and powerful cloud nodes. We integrate a receiver-privacy-only, NIOT-style index-hiding mechanism (RP-NIOT) into an offline/online encryption pipeline to conceal the user's query index from an honest-but-curious command center (CC). We do not claim classical OT sender privacy; unauthorized-record confidentiality is enforced by the CP-ABE/KEM-DEM layer. In addition, we incorporate a user-held blinding factor into the transformation keys to decouple the outsourcing capability from final decryption to ensure resilience against TCN compromise. A novel lightweight hash-based verification mechanism is designed to guarantee the correctness of outsourced computations. Detailed security and efficiency analysis show that the proposed protocol achieves resilience and data confidentiality as well as other security objectives at a cost of constant (policy-size independent) online terminal overhead-dominated by two exponentiations (plus one [Formula: see text] inversion), one MAC verification, two hash/KDF evaluations, and one symmetric decryption per query-making it suitable for latency-sensitive tactical applications.

战术边缘网络(TENs)是在资源受限和敌对条件下传播时间敏感情报的关键基础设施,如网络中心战(NCW)和战场物联网(IoBT),其中安全和有效的数据共享是核心要求。为了确保这种环境中的安全和隐私,必须严格遵守“需要知道”原则,要求只有具有特定授权属性的实体才能访问敏感的任务数据。密文-策略基于属性的加密(CP-ABE)将细粒度访问策略绑定到密文,并且只允许满足属性的用户解密,使其本质上适合于这些设置中的需要知道控制。然而,对于战术边缘网络中的轻型前线终端,CP-ABE中双线性配对的高昂计算开销通常是不切实际的。虽然将解密外包给战术云节点(tcn)可以减轻这种负担,但它在零信任部署中带来了严重的漏洞,包括节点捕获时的密钥暴露、不正确的计算结果以及向诚实但好奇的指挥中心(CC)泄露查询意图。为了解决这些问题,我们提出了一种新的弹性和可验证的基于外包属性的非交互遗忘传输协议。提出的框架平衡了系统效率与安全性和隐私性,并解决了资源受限的战术边缘设备和强大的云节点之间固有的计算不对称。我们将一个仅针对接收方隐私的niot风格索引隐藏机制(RP-NIOT)集成到离线/在线加密管道中,以向诚实但好奇的指挥中心(CC)隐藏用户的查询索引。我们不主张传统的OT发件人隐私;未授权记录的机密性由CP-ABE/ kemm - dem层强制执行。此外,我们将用户持有的盲化因素合并到转换密钥中,以将外包功能与最终解密解耦,以确保对TCN妥协的弹性。设计了一种新的轻量级的基于哈希的验证机制来保证外包计算的正确性。详细的安全性和效率分析表明,所提出的协议以恒定的(策略大小无关的)在线终端开销为代价实现了弹性和数据机密性以及其他安全目标-由两次幂运算(加上一次[公式:见文本]反演),一次MAC验证,两次散列/KDF评估和每个查询一次对称解密主导-使其适合延迟敏感的战术应用程序。
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引用次数: 0
Effects of biochar amendment on rhizosphere soil available nitrogen and crop growth. 生物炭对根际土壤速效氮和作物生长的影响。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-42014-z
Hong Jiang, Mengqi Zhu, Jie Li, Changchun Feng, Changquan Wang, Rong Huang, Qi Tao, Xiaoyan Tang, Yingjie Wu, Youlin Luo, Qiquan Li, Bing Li
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引用次数: 0
Post-quantum cryptographic authentication protocol for industrial IoT using lattice-based cryptography. 使用基于格的加密技术的工业物联网后量子加密认证协议。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-025-28413-8
Abdul Basit Shahid, Khwaja Mansoor, Yawar Abbas Bangash, Waseem Iqbal, Shynar Mussiraliyeva

The integration of NIST-standardized lattice-based cryptographic algorithms (ML-KEM and ML-DSA) into TLS 1.3 enables post-quantum secure authentication for Industrial IoT (IIoT) environments. This work implements these algorithms within the X.509 certificate infrastructure and evaluates their performance on resource-constrained IIoT hardware (Raspberry Pi 4). Experimental measurements covering key generation, encapsulation, decapsulation, and signature operations were obtained using a liboqs-enabled TLS 1.3 stack. The results show that PQ TLS 1.3 achieves comparable handshake latency to conventional TLS on IIoT-class gateways, with certificate size identified as the dominant overhead. These findings confirm the practicality of post-quantum authentication in IIoT systems while acknowledging limitations related to the hardware scope and simulated networking. Future work will extend validation to field deployments and additional PQC candidates.

将nist标准化的基于格子的加密算法(ML-KEM和ML-DSA)集成到TLS 1.3中,可为工业物联网(IIoT)环境提供后量子安全认证。这项工作在X.509证书基础设施中实现了这些算法,并评估了它们在资源受限的IIoT硬件(Raspberry Pi 4)上的性能。实验测量包括密钥生成、封装、解封装和签名操作,使用启用liboqs的TLS 1.3堆栈获得。结果表明,PQ TLS 1.3在iiot类网关上实现了与传统TLS相当的握手延迟,证书大小被确定为主要开销。这些发现证实了后量子认证在工业物联网系统中的实用性,同时也承认了与硬件范围和模拟网络相关的局限性。未来的工作将扩展到现场部署和其他PQC候选项目。
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引用次数: 0
Enhancing logistic regression classification: insights from simulation and real-world applications through ranked set sampling. 增强逻辑回归分类:通过排名集抽样从模拟和现实世界应用的见解。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-41333-5
Razieh Yousefi, Benoit Liquet, Mahdi Mahdizadeh, Leili Tapak, Hassan Doosti, Habibollah Esmaily
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引用次数: 0
Ginsenoside Rb1 alleviates endothelial dysfunction and vascular remodeling in preeclampsia via activation of the PI3K-Akt-eNOS pathway. 人参皂苷Rb1通过激活PI3K-Akt-eNOS通路缓解子痫前期内皮功能障碍和血管重构。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-38411-z
Wen Jia, Wenli Wang, Baolian Zhang, Chengshu Wang, Xianghua Huang

Preeclampsia (PE) is a pregnancy-specific hypertensive disorder characterized by new-onset hypertension and proteinuria after 20 weeks of gestation. Endothelial dysfunction and abnormal placental vascular remodeling are central to its pathogenesis. Despite its significant impact on maternal and fetal health, current therapeutic options remain limited and largely symptomatic. This study aimed to investigate the protective effects and underlying mechanisms of ginsenoside Rb1 (Rb1) on endothelial function and vascular remodeling in PE, with a particular focus on the phosphoinositide 3-kinase/protein kinase B/endothelial nitric oxide synthase (PI3K/Akt/eNOS) signaling pathway. Plasma and placental samples from PE patients and normotensive pregnant women were analyzed for vascular markers and histological changes. A PE-like rat model was induced using NG-Nitro-L-arginine Methyl Ester, Hydrochloride (L-NAME) and treated with low, medium, or high doses of Rb1. Blood pressure, urinary protein excretion, nitric oxide (NO) and endothelin-1 (ET-1) levels, placental pathology, and related protein expression were evaluated. In vitro, an angiotensin II (Ang II)-induced human umbilical vein endothelial cell (HUVEC) injury model was used to assess the involvement of the PI3K/Akt/eNOS pathway using pharmacological inhibitors and activators. PE patients exhibited reduced NO levels, increased ET-1 levels, placental vascular damage, suppressed vascular endothelial growth factor (VEGF) expression, and elevated alpha-smooth muscle actin (α-SMA) expression. In the L-NAME-induced PE-like rat model, Rb1 treatment significantly reduced systolic blood pressure and urinary protein excretion, restored endothelial function, and alleviated placental structural damage. Rb1 also reversed inhibition of the PI3K/Akt/eNOS pathway observed in PE. In vitro, Rb1 improved HUVEC viability, angiogenesis, oxidative stress, and apoptosis, effects that were abolished by PI3K inhibition, while PI3K activation mimicked the protective effects of Rb1. Rb1 exerts significant protective effects against endothelial dysfunction and placental vascular remodeling in PE, likely through activation of the PI3K/Akt/eNOS signaling pathway. These findings suggest that Rb1 may represent a promising therapeutic candidate for the management of PE.

子痫前期(PE)是一种妊娠期特有的高血压疾病,以妊娠20周后新发高血压和蛋白尿为特征。内皮功能障碍和胎盘血管重构异常是其发病机制的核心。尽管它对孕产妇和胎儿健康有重大影响,但目前的治疗选择仍然有限,而且主要是症状性的。本研究旨在探讨人参皂苷Rb1 (Rb1)对PE内皮功能和血管重构的保护作用及其机制,重点关注磷酸肌苷3-激酶/蛋白激酶B/内皮型一氧化氮合酶(PI3K/Akt/eNOS)信号通路。对PE患者和血压正常孕妇的血浆和胎盘样本进行血管标志物和组织学变化分析。用ng -硝基-l -精氨酸甲酯盐酸盐(L-NAME)诱导pe样大鼠模型,并用低、中、高剂量Rb1处理。观察血压、尿蛋白排泄、一氧化氮(NO)和内皮素-1 (ET-1)水平、胎盘病理及相关蛋白表达。在体外,采用血管紧张素II (Ang II)诱导的人脐静脉内皮细胞(HUVEC)损伤模型,使用药物抑制剂和激活剂评估PI3K/Akt/eNOS通路的参与情况。PE患者表现为NO水平降低,ET-1水平升高,胎盘血管损伤,血管内皮生长因子(VEGF)表达抑制,α-平滑肌肌动蛋白(α-SMA)表达升高。在l - name诱导的pe样大鼠模型中,Rb1处理显著降低收缩压和尿蛋白排泄,恢复内皮功能,减轻胎盘结构损伤。Rb1还逆转了PE中观察到的PI3K/Akt/eNOS通路的抑制。在体外,Rb1改善HUVEC活力、血管生成、氧化应激和细胞凋亡,这些作用被PI3K抑制所消除,而PI3K的激活模仿了Rb1的保护作用。Rb1可能通过激活PI3K/Akt/eNOS信号通路,对PE的内皮功能障碍和胎盘血管重构具有显著的保护作用。这些发现表明,Rb1可能是一种有前途的PE治疗候选药物。
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引用次数: 0
Phase shift optimization in reconfigurable intelligent surface-assisted UAV in hierarchical aerial computing networks. 分层空中计算网络中可重构智能地面辅助无人机的相移优化。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-38514-7
Basma Diaa, Ibrahim I Ibrahim, Ahmed M Abdelhaleem, Mostafa M Abdelhakam

The evolution toward 6G wireless networks necessitates innovative solutions to support the massive Internet of Things (IoT) deployments with unprecedented computational and communication requirements, motivating this A comprehensive framework that integrates Reconfigurable Intelligent Surface (RIS) technology with hierarchical aerial computing networks by combining RIS-equipped Unmanned Aerial Vehicles (UAVs) operating as mobile edge computing nodes with High-Altitude Platforms (HAPs) to create a three-tier computing hierarchy addressing the limitations of conventional terrestrial infrastructure. The system model encompasses RIS-equipped UAVs serving terrestrial IoT devices with a single HAP providing high-capacity computational resources, where the RIS phase optimization is formulated as a Riemannian conjugate gradient problem on complex circle manifolds to maximize total system throughput while naturally handling unit modulus constraints through a three-stage sequential decomposition approach. Extensive Monte Carlo simulations demonstrate significant performance improvements over the comparable algorithm without RIS enhancement, with the RIS-enhanced system achieving 18% throughput improvement, near-linear scalability serving approximately 100% of available IoT devices compared to the algorithm In the comparable algorithm at 100 devices, a 95% task completion rate was maintained across all network loads versus 79-80% for the algorithm compared to the comparable algorithm. The results validate the potential of RIS-enabled aerial networks as a transformative solution for scalable and efficient 6G IoT services, with enhanced channel quality from intelligent phase configuration, enabling superior resource utilization and service provisioning in hierarchical computing architectures, establishing key contributions including novel RIS-aerial computing integration, advanced Riemannian manifold optimization with superior convergence properties, unified resource allocation combining stable matching theory with externality elimination, comprehensive performance analysis demonstrating practical viability, and real-world implementation considerations for future multi-UAV scenarios and energy-efficient designs.

向6G无线网络的发展需要创新的解决方案来支持具有前所未有的计算和通信需求的大规模物联网(IoT)部署。一个综合框架,通过将装备RIS的无人机(uav)作为移动边缘计算节点与高空平台(HAPs)相结合,将可重构智能表面(RIS)技术与分层空中计算网络集成在一起,创建一个三层计算层次结构,解决传统地面基础设施的局限性。该系统模型包括配备RIS的无人机,这些无人机服务于地面物联网设备,单个HAP提供高容量计算资源,其中RIS相位优化被制定为复杂圆流形上的黎曼共轭梯度问题,以最大化总系统吞吐量,同时通过三阶段顺序分解方法自然地处理单元模量约束。大量的蒙特卡罗模拟表明,与没有RIS增强的可比算法相比,RIS增强的系统的性能有了显着的提高,与算法相比,RIS增强的系统实现了18%的吞吐量提高,近似线性的可扩展性服务于大约100%的可用物联网设备。在100个设备的可比算法中,所有网络负载的任务完成率保持在95%,而与可比算法相比,该算法的任务完成率为79-80%。结果验证了基于ris的空中网络作为可扩展和高效的6G物联网服务的变革性解决方案的潜力,通过智能相位配置增强通道质量,在分层计算架构中实现卓越的资源利用和服务供应,建立关键贡献,包括新型ris -空中计算集成,具有卓越收敛特性的先进黎曼流形优化,将稳定匹配理论与外部性消除相结合的统一资源分配,综合性能分析证明实际可行性,以及未来多无人机场景和节能设计的现实世界实施考虑。
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引用次数: 0
Unlocking the therapeutic potential of Origanum majorana through GC-MS and computational analysis to identify EGFR inhibitors for breast cancer. 通过气相色谱-质谱联用和计算分析解锁大黄牛的治疗潜力,以确定乳腺癌的EGFR抑制剂。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-41138-6
Hamad Z Alkhathlan, Eman Alshareef, Tanmoy Dutta, Shatha Ibrahim Alaqeel, Fouzia Latif, Merajuddin Khan

Triple-negative breast cancer (TNBC) remains a significant clinical challenge due to its resistance to conventional treatments and the well-established role of epidermal growth factor receptor (EGFR) as a critical molecular target. This study explores the potential of Origanum majorana, a Mediterranean herb, as a source of natural EGFR inhibitors. The essential oil from Saudi Arabian O. majorana aerial parts was extracted and profiled using Gas Chromatography-Mass Spectrometry (GC-MS), identifying the major constituents. Predominant compounds were virtually screened against the EGFR tyrosine kinase domain via molecular docking and docking poses were validated. Subsequent molecular dynamics simulations together with MM-GBSA free energy analysis indicated that limonene formed the most stable complex with EGFR, exhibiting minimal structural deviation and consistent hydrophobic contacts. Density Functional Theory (DFT) analysis characterized limonene's electronic stability and hydrophobic nature, which underpin its binding mechanism. ADME predictions indicated limonene's favorable drug-likeness and blood-brain barrier permeability. This integrated approach identifies limonene as a promising natural scaffold for EGFR inhibition, warranting further experimental validation for its potential advancement as a treatment option for breast cancer.

三阴性乳腺癌(TNBC)仍然是一个重大的临床挑战,因为它对常规治疗具有耐药性,并且表皮生长因子受体(EGFR)作为一个关键的分子靶点已经确立了作用。本研究探讨了一种地中海草本植物——牛头草(Origanum majorana)作为天然EGFR抑制剂的潜力。采用气相色谱-质谱联用(GC-MS)技术对沙乌地阿拉伯马约拉纳(O. majorana)空中部位的挥发油进行了提取和分析,鉴定了主要成分。通过分子对接和对接姿势验证了对EGFR酪氨酸激酶结构域的优势化合物的虚拟筛选。随后的分子动力学模拟和MM-GBSA自由能分析表明,柠檬烯与EGFR形成了最稳定的配合物,具有最小的结构偏差和一致的疏水接触。密度泛函理论(DFT)表征了柠檬烯的电子稳定性和疏水性,为其结合机理提供了基础。ADME预测表明柠檬烯具有良好的药物相似性和血脑屏障渗透性。这种综合方法确定柠檬烯是一种很有前途的抑制EGFR的天然支架,需要进一步的实验验证其作为乳腺癌治疗选择的潜在进展。
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引用次数: 0
Synergistic effect of rubber powder and nano-silica on pore structure and frost resistance of concrete. 橡胶粉与纳米二氧化硅对混凝土孔隙结构和抗冻性能的协同作用。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-36480-8
Ling-Yun Feng, Hong-Liang Cao, Xin-Wei Shi, Da-Hui Wang

The effectiveness of air-entraining agents in enhancing the frost resistance of concrete is significantly reduced under low-pressure conditions, such as those found in plateau and alpine regions, leading to severe freeze-thaw damage. To address this challenge, this study investigates the use of rubber powder as a compensatory material for air-entraining agents, introducing "solid pores" to replace traditional air voids. The combined effect of rubber powder and nano-silica was evaluated through macroscopic performance tests and microstructural analyses, focusing on the evolution of pore structure parameters and frost resistance during freeze-thaw cycles. The results show that rubber powder increases the air content and optimizes the pore structure, with "solid pores" accounting for an increasing proportion of total air content as the dosage rises. The addition of nano-silica further refines the pore size distribution by reducing the proportion of larger pores and stabilizing the bubble spacing coefficient. Concrete incorporating both rubber powder and nano-silica exhibits significantly improved frost resistance, with only a slight reduction in compressive strength compared to ordinary concrete. These findings demonstrate that the synergistic use of rubber powder and nano-silica effectively compensates for the diminished performance of air-entraining agents under low-pressure conditions, offering a practical approach to enhancing the freeze-thaw durability of concrete in cold, high-altitude environments.

在低压条件下,例如在高原和高山地区,引气剂提高混凝土抗冻性的有效性显著降低,导致严重的冻融破坏。为了解决这一挑战,本研究研究了使用橡胶粉末作为引气剂的补充材料,引入“固体孔隙”来取代传统的空气空隙。通过宏观性能试验和微观结构分析,评价了橡胶粉和纳米二氧化硅的复合作用,重点研究了冻融循环过程中孔隙结构参数的演变和抗冻性。结果表明:橡胶粉增加了空气含量,优化了孔隙结构,随着掺量的增加,“固体孔隙”占总空气含量的比例越来越大;纳米二氧化硅的加入通过减少大孔的比例和稳定气泡间距系数进一步细化了孔径分布。与普通混凝土相比,掺入橡胶粉和纳米二氧化硅的混凝土具有显著提高的抗冻性,抗压强度仅略有降低。这些研究结果表明,橡胶粉和纳米二氧化硅的协同使用有效地弥补了低压条件下引气剂性能的下降,为提高寒冷、高海拔环境下混凝土的冻融耐久性提供了一种实用的方法。
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引用次数: 0
Toward robust automated cardiovascular arrhythmia detection using self-supervised learning and 1-dimensional vision transformers. 基于自监督学习和一维视觉变换的鲁棒心血管心律失常自动检测。
IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Pub Date : 2026-03-03 DOI: 10.1038/s41598-026-41549-5
Mitchell Chatterjee, Adrian D C Chan, Majid Komeili

Cardiovascular diseases are the leading cause of death worldwide. With electrocardiogram (ECG) machines becoming more accessible, passive monitoring for arrhythmia detection is now possible. This work highlights the importance of self-supervised learning in detecting arrhythmias by leveraging large-scale unlabelled ECG data to improve performance and reduce overfitting to class imbalance and noise. We propose Masked Patch Modelling (MPM) and use 8.2 million unlabelled ECGs for self-supervised pre-training, introducing PatchECG, a 1D Transformer model that can be fine-tuned for various ECG tasks. PatchECG achieves state-of-the-art results on standard datasets, including PTB-XL multi-label classification, and sets new benchmarks on the largest and highest-quality multi-label dataset to date. Compared to existing methods, PatchECG is five times more computationally efficient while increasing model capacity by a factor of 14. We also compare the 1D PatchECG model to a state-of-the-art 2D vision Transformer, HeartBEiT, and observe significantly higher performance. Finally, ablation studies reveal a 2% performance improvement in handling class imbalance, label noise, and over-parameterization. These findings demonstrate the potential of self-supervised learning in advancing automated arrhythmia detection.

心血管疾病是世界范围内导致死亡的主要原因。随着心电图(ECG)机器变得越来越容易获得,对心律失常检测的被动监测现在是可能的。这项工作强调了自我监督学习在检测心律失常中的重要性,通过利用大规模未标记的ECG数据来提高性能并减少对类不平衡和噪声的过拟合。我们提出了掩膜贴片建模(MPM),并使用820万个未标记的ECG进行自我监督预训练,引入了PatchECG,一种可以针对各种ECG任务进行微调的1D Transformer模型。PatchECG在标准数据集上实现了最先进的结果,包括PTB-XL多标签分类,并在迄今为止最大和最高质量的多标签数据集上设定了新的基准。与现有方法相比,PatchECG的计算效率提高了5倍,同时将模型容量提高了14倍。我们还将1D PatchECG模型与最先进的2D视觉变压器HeartBEiT进行了比较,并观察到显着更高的性能。最后,消融研究表明,在处理类别不平衡、标签噪声和过度参数化方面,性能提高了2%。这些发现证明了自我监督学习在推进心律失常自动检测方面的潜力。
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引用次数: 0
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