Biomedical Engineering Letters最新文献_第7页

Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system. 基于导电性纺织品的心电图测量评估用于开发孤独死亡预防系统。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-09-04 eCollection Date: 2025-01-01 DOI: 10.1007/s13534-024-00422-y

Lina Agyekumwaa Asante, Sung Bin Park, Seungkwan Cho, Jun Won Choi, Han Sung Kim

{"title":"Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system.","authors":"Lina Agyekumwaa Asante, Sung Bin Park, Seungkwan Cho, Jun Won Choi, Han Sung Kim","doi":"10.1007/s13534-024-00422-y","DOIUrl":"10.1007/s13534-024-00422-y","url":null,"abstract":"The rise in individuals living alone in ageing societies raises concerns about social isolation and associated health risks, notably lonely deaths among the elderly. Traditional electrocardiogram (ECG) monitoring systems, reliant on intrusive and potentially irritating electrodes, pose practical challenges. This study examines the efficacy of conductive textile electrodes (CTEs) vis-á-vis conventional electrodes (CEs) in ECG monitoring, along with the effect of electrode positioning. Twenty subjects without cardiovascular conditions, were monitored using a commercial ECG device (HiCardi+) with both CEs and CTEs. The CTEs were tested in two experiments: at the nape and left hand (position 1), and at the nape and legs (position 2). Each experiment placed one HiCardi + SmartPatch with CE at its standard position, while the other used CTEs. ECG signals were processed using the Pan-Tompkins algorithm, and heart rate variability (HRV) metrics were analysed. Significant improvements in signal-to-noise ratio (SNR) were observed after filtering. There were no significant differences (p > 0.05) in time-domain HRV metrics between CEs and CTEs, though CTEs showed superior R peak characteristics and reduced noise sensitivity. Additionally, no significant position effect (p > 0.05) was noted within the CTE group. Nonlinear analysis further confirmed the efficacy of the CTEs. Our findings suggest that CTEs offer a comfortable, non-intrusive alternative to conventional ECG electrodes, enhancing ECG monitoring and contributing to the development of a \"lonely death prevention system\".","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"15 1","pages":"57-67"},"PeriodicalIF":3.2,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective. 从感知质量的角度对基于深度学习的低剂量计算机断层扫描去噪进行系统回顾。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-08-30 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00419-7

Wonjin Kim, Sun-Young Jeon, Gyuri Byun, Hongki Yoo, Jang-Hwan Choi

{"title":"A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective.","authors":"Wonjin Kim, Sun-Young Jeon, Gyuri Byun, Hongki Yoo, Jang-Hwan Choi","doi":"10.1007/s13534-024-00419-7","DOIUrl":"10.1007/s13534-024-00419-7","url":null,"abstract":"Low-dose computed tomography (LDCT) scans are essential in reducing radiation exposure but often suffer from significant image noise that can impair diagnostic accuracy. While deep learning approaches have enhanced LDCT denoising capabilities, the predominant reliance on objective metrics like PSNR and SSIM has resulted in over-smoothed images that lack critical detail. This paper explores advanced deep learning methods tailored specifically to improve perceptual quality in LDCT images, focusing on generating diagnostic-quality images preferred in clinical practice. We review and compare current methodologies, including perceptual loss functions and generative adversarial networks, addressing the significant limitations of current benchmarks and the subjective nature of perceptual quality evaluation. Through a systematic analysis, this study underscores the urgent need for developing methods that balance both perceptual and diagnostic quality, proposing new directions for future research in the field.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1153-1173"},"PeriodicalIF":3.2,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502640/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent advances in shape memory scaffolds and regenerative outcomes. 形状记忆支架和再生结果的最新进展。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-08-21 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00417-9

Ferzane Valioglu, Fereshteh Valipour, Shadi Atazadeh, Maryam Hasansadeh, Nafiseh Didar Khosrowshahi, Fereshteh Vaziri Nezamdoust, Parisa Mohammad-Jafarieh, Reza Rahbarghazi, Mahdi Mahdipour

{"title":"Recent advances in shape memory scaffolds and regenerative outcomes.","authors":"Ferzane Valioglu, Fereshteh Valipour, Shadi Atazadeh, Maryam Hasansadeh, Nafiseh Didar Khosrowshahi, Fereshteh Vaziri Nezamdoust, Parisa Mohammad-Jafarieh, Reza Rahbarghazi, Mahdi Mahdipour","doi":"10.1007/s13534-024-00417-9","DOIUrl":"10.1007/s13534-024-00417-9","url":null,"abstract":"The advent of tissue engineering (TE) technologies has revolutionized human medicine over the last few decades. Despite splendid advances in the fabricating and development of different substrates for regenerative purposes, non-responsive static composites have been used to heal injured tissues. After being transplanted into the target sites, grafts will lose their original features, leading to a reduction in regenerative potential. Along with these statements, the use of shape memory polymers (SMPs), smart substrates with unique physicochemical properties, has been extended in different disciplines of regenerative medicine in recent years. These substrates are intelligent and they can easily change physicogeometry features such as stiffness, strain size, shape, etc. in response to external stimuli. It has been proposed that SMPs can easily acquire their original properties after deformation, even in the presence or absence of certain stimuli. It has been indicated that the application of distinct synthesis protocols is required to fabricate dynamically switchable surfaces with prominent cell-to-substrate interaction, resulting in better regulation of cell function, dynamic growth, and reparative mechanisms. Here, we aimed to scrutinize the prominent regenerative properties of SMPs in the TE and regenerative medicine fields. Whether and how SMPs can orchestrate certain cell behavior, with reconfigurable features and adaptability were discussed in detail.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1279-1301"},"PeriodicalIF":3.2,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion. PolySegNet：通过斯温变换器和视觉变换器融合改进息肉分割。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-08-20 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00415-x

P Lijin, Mohib Ullah, Anuja Vats, Faouzi Alaya Cheikh, G Santhosh Kumar, Madhu S Nair

{"title":"PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion.","authors":"P Lijin, Mohib Ullah, Anuja Vats, Faouzi Alaya Cheikh, G Santhosh Kumar, Madhu S Nair","doi":"10.1007/s13534-024-00415-x","DOIUrl":"10.1007/s13534-024-00415-x","url":null,"abstract":"Colorectal cancer ranks as the second most prevalent cancer worldwide, with a high mortality rate. Colonoscopy stands as the preferred procedure for diagnosing colorectal cancer. Detecting polyps at an early stage is critical for effective prevention and diagnosis. However, challenges in colonoscopic procedures often lead medical practitioners to seek support from alternative techniques for timely polyp identification. Polyp segmentation emerges as a promising approach to identify polyps in colonoscopy images. In this paper, we propose an advanced method, PolySegNet, that leverages both Vision Transformer and Swin Transformer, coupled with a Convolutional Neural Network (CNN) decoder. The fusion of these models facilitates a comprehensive analysis of various modules in our proposed architecture.To assess the performance of PolySegNet, we evaluate it on three colonoscopy datasets, a combined dataset, and their augmented versions. The experimental results demonstrate that PolySegNet achieves competitive results in terms of polyp segmentation accuracy and efficacy, achieving a mean Dice score of 0.92 and a mean Intersection over Union (IoU) of 0.86. These metrics highlight the superior performance of PolySegNet in accurately delineating polyp boundaries compared to existing methods. PolySegNet has shown great promise in accurately and efficiently segmenting polyps in medical images. The proposed method could be the foundation for a new class of transformer-based segmentation models in medical image analysis.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1421-1431"},"PeriodicalIF":3.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A rate-responsive duty-cycling protocol for leadless pacemaker synchronization. 用于无导联起搏器同步的速率响应式占空比循环协议。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-08-19 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00413-z

Adrian Ryser, Tobias Reichlin, Jürgen Burger, Thomas Niederhauser, Andreas Haeberlin

{"title":"A rate-responsive duty-cycling protocol for leadless pacemaker synchronization.","authors":"Adrian Ryser, Tobias Reichlin, Jürgen Burger, Thomas Niederhauser, Andreas Haeberlin","doi":"10.1007/s13534-024-00413-z","DOIUrl":"10.1007/s13534-024-00413-z","url":null,"abstract":"Dual-chamber leadless pacemakers (LLPMs) consist of two implants, one in the right atrium and one in the right ventricle. Inter-device communication, required for atrioventricular (AV) synchrony, however, reduces the projected longevity of commercial dual-chamber LLPMs by 35-45%. This work analyzes the power-saving potential and the resulting impact on AV-synchrony for a novel LLPM synchronization protocol. Relevant parameters of the proposed window scheduling algorithm were optimized with system-level simulations investigating the resulting trade-off between transceiver current consumption and AV-synchrony. The parameter set included the algorithm's setpoint for the target number of windows per cardiac cycle and the number of averaging cycles used in the window update calculation. The sensing inputs for the LLPM model were derived from human electrocardiogram recordings in the MIT-BIH Arrhythmia Database. Transceiver current consumption was estimated by combining the simulation results on the required communication resources with electrical measurements of a receiver microchip developed for LLPM synchronization in previous work. The performance ratio given by AV-synchrony divided by current consumption was maximized for a target of one window per cardiac cycle and three averaging cycles. Median transceiver current of both LLPMs combined was 166 nA (interquartile range: 152-183 nA) and median AV-synchrony was 92.5%. This corresponded to median reduction of 18.3% and 3.2% in current consumption and AV-synchrony, respectively, compared to a non-rate-responsive implementation of the same protocol, which prioritized maximum AV-synchrony. In conclusion, adopting a rate-responsive communication protocol may significantly increase device longevity of dual-chamber LLPMs without compromising AV-synchrony, potentially reducing the frequency of device replacements.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1397-1407"},"PeriodicalIF":3.2,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502617/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications. 评估用于脑机接口应用的消费级无线脑电图系统。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-08-13 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00416-w

Seungchan Lee, Misung Kim, Minkyu Ahn

{"title":"Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications.","authors":"Seungchan Lee, Misung Kim, Minkyu Ahn","doi":"10.1007/s13534-024-00416-w","DOIUrl":"10.1007/s13534-024-00416-w","url":null,"abstract":"With the growing popularity of consumer-grade electroencephalogram (EEG) devices for health, entertainment, and cognitive research, assessing their signal quality is essential. In this study, we evaluated four consumer-grade wireless and dry-electrode EEG systems widely used for brain-computer interface (BCI) research and applications, comparing them with a research-grade system. We designed an EEG phantom method that reproduced µV-level amplitude EEG signals and evaluated the five devices based on their spectral responses, temporal patterns of event-related potential (ERP), and spectral patterns of resting-state EEG. We discovered that the consumer-grade devices had limited bandwidth compared with the research-grade device. A late component (e.g., P300) was detectable in the consumer-grade devices, but the overall ERP temporal pattern was distorted. Only one device showed an ERP temporal pattern comparable to that of the research-grade device. On the other hand, we confirmed that the activation of the alpha rhythm was observable in all devices. The results provide valuable insights for researchers and developers when it comes to selecting suitable EEG devices for BCI research and applications.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1433-1443"},"PeriodicalIF":3.2,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A wavelet subband based LSTM model for 12-lead ECG synthesis from reduced lead set. 基于小波子带的 LSTM 模型，用于从减少的导联集合成 12 导联心电图。

IF 2.8 4区医学

Biomedical Engineering Letters Pub Date : 2024-07-31 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00412-0

Ato Kapfo, Sumit Datta, Samarendra Dandapat, Prabin Kumar Bora

{"title":"A wavelet subband based LSTM model for 12-lead ECG synthesis from reduced lead set.","authors":"Ato Kapfo, Sumit Datta, Samarendra Dandapat, Prabin Kumar Bora","doi":"10.1007/s13534-024-00412-0","DOIUrl":"10.1007/s13534-024-00412-0","url":null,"abstract":"Synthesis of a 12-lead electrocardiogram from a reduced lead set has previously been extensively studied in order to meet patient comfort, minimise complexity, and enable telemonitoring. Traditional methods relied solely on the inter-lead correlation between the standard twelve leads for learning the models. The 12-lead ECG possesses not only inter-lead correlation but also intra-lead correlation. Learning a model that can exploit this spatio-temporal information in the ECG could generate lead signals while preserving important diagnostic information. The proposed approach takes leverage of the enhanced inter-lead correlation of the ECG signal in the wavelet domain. Long-short-term memory (LSTM) networks, which have emerged as a powerful tool for sequential data mining, are a type of recurrent neural network architecture with an inherent capability to capture the spatiotemporal information of the heart signal. This work proposes the deep learning architecture that utilizes the discrete wavelet transform and the LSTM to reconstruct a generic 12-lead ECG from a reduced lead set. The experimental results are evaluated using different diagnostic measures and similarity metrics. The proposed framework is well founded, and accurate reconstruction is possible as it can capture clinically significant features and provides a robust solution against noise.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1385-1395"},"PeriodicalIF":2.8,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spiking neural networks for physiological and speech signals: a review. 用于生理和语音信号的尖峰神经网络：综述。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-06-25 eCollection Date: 2024-09-01 DOI: 10.1007/s13534-024-00404-0

Sung Soo Park, Young-Seok Choi

{"title":"Spiking neural networks for physiological and speech signals: a review.","authors":"Sung Soo Park, Young-Seok Choi","doi":"10.1007/s13534-024-00404-0","DOIUrl":"10.1007/s13534-024-00404-0","url":null,"abstract":"The integration of Spiking Neural Networks (SNNs) into the analysis and interpretation of physiological and speech signals has emerged as a groundbreaking approach, offering enhanced performance and deeper insights into the underlying biological processes. This review aims to summarize key advances, methodologies, and applications of SNNs within these domains, highlighting their unique ability to mimic the temporal dynamics and efficiency of the human brain. We dive into the core principles of SNNs, their neurobiological underpinnings, and the computational advantages they bring to signal processing, particularly in handling the temporal and spatial complexities inherent in physiological and speech data. Comparative analyses with conventional neural network models are presented to underscore the superior efficiency, lower power consumption, and higher temporal resolution of SNNs. The review further explores challenges and future prospects, highlighting the potential of SNNs to revolutionize wearable healthcare monitoring systems, neuroprosthetic devices, and natural language processing technologies. By providing a comprehensive overview of current strategies, this review aims to inspire innovative approaches in the field, fostering advances in real-time and energy-efficient processing of complex biological signals.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 5","pages":"943-954"},"PeriodicalIF":3.2,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362433/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning. 基于多序列 MR 的合成 CT 生成，使用 CycleGAN 进行头颈部仅 MRI 规划。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-06-22 eCollection Date: 2024-11-01 DOI: 10.1007/s13534-024-00402-2

Liwei Deng, Songyu Chen, Yunfa Li, Sijuan Huang, Xin Yang, Jing Wang

{"title":"Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning.","authors":"Liwei Deng, Songyu Chen, Yunfa Li, Sijuan Huang, Xin Yang, Jing Wang","doi":"10.1007/s13534-024-00402-2","DOIUrl":"10.1007/s13534-024-00402-2","url":null,"abstract":"The purpose of this study is to investigate the influence of different magnetic resonance (MR) sequences on the accuracy of generating computed tomography (sCT) images for nasopharyngeal carcinoma based on CycleGAN. In this study, 143 patients' head and neck MR sequence (T1, T2, T1C, and T1DIXONC) and CT imaging data were acquired. The generator and discriminator of CycleGAN are improved to achieve the purpose of balance confrontation, and a cyclic consistent structure control domain is proposed in terms of loss function. Four different single-sequence MR images and one multi-sequence MR image were used to evaluate the accuracy of sCT. During the model testing phase, five testing scenarios were employed to further assess the mean absolute error, peak signal-to-noise ratio, structural similarity index, and root mean square error between the actual CT images and the sCT images generated by different models. T1 sequence-based sCT achieved better results in single-sequence MR-based sCT. Multi-sequence MR-based sCT achieved better results with T1 sequence-based sCT in terms of evaluation metrics. For metrological evaluation, the global gamma passage rate of sCT based on sequence MR was greater than 95% at 3%/3 mm, except for sCT based on T2 sequence MR. We developed a CycleGAN method to synthesize CT using different MR sequences, this method shows encouraging potential for dosimetric evaluation.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 6","pages":"1319-1333"},"PeriodicalIF":3.2,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502648/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives. 探索尖峰神经网络在生物医学应用中的潜力：优势、局限和未来展望。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2024-06-20 eCollection Date: 2024-09-01 DOI: 10.1007/s13534-024-00403-1

Eunsu Kim, Youngmin Kim

{"title":"Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives.","authors":"Eunsu Kim, Youngmin Kim","doi":"10.1007/s13534-024-00403-1","DOIUrl":"10.1007/s13534-024-00403-1","url":null,"abstract":"In this paper, a comprehensive exploration is undertaken to elucidate the utilization of Spiking Neural Networks (SNNs) within the biomedical domain. The investigation delves into the experimentally validated advantages of SNNs in comparison to alternative models like LSTM, while also critically examining the inherent limitations of SNN classifiers or algorithms. SNNs exhibit distinctive advantages that render them particularly apt for targeted applications within the biomedical field. Over time, SNNs have undergone extensive scrutiny in realms such as neuromorphic processing, Brain-Computer Interfaces (BCIs), and Disease Diagnosis. Notably, SNNs demonstrate a remarkable affinity for the processing and analysis of biomedical signals, including but not limited to electroencephalogram (EEG), electromyography (EMG), and electrocardiogram (ECG) data. This paper initiates its exploration by introducing some of the biomedical applications of EMG, such as the classification of hand gestures and motion decoding. Subsequently, the focus extends to the applications of SNNs in the analysis of EEG and ECG signals. Moreover, the paper delves into the diverse applications of SNNs in specific anatomical regions, such as the eyes and noses. In the final sections, the paper culminates with a comprehensive analysis of the field, offering insights into the advantages, disadvantages, challenges, and opportunities introduced by various SNN models in the realm of healthcare and biomedical domains. This holistic examination provides a nuanced perspective on the potential transformative impact of SNN across a spectrum of applications within the biomedical landscape.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"14 5","pages":"967-980"},"PeriodicalIF":3.2,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362408/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0