標題: Titlebook: Biomedical Signal Processing; Innovation and Appli Iyad Obeid,Ivan Selesnick,Joseph Picone Book 2021 The Editor(s) (if applicable) and The [打印本頁] 作者: 海市蜃樓 時間: 2025-3-21 16:04
書目名稱Biomedical Signal Processing影響因子(影響力)
書目名稱Biomedical Signal Processing影響因子(影響力)學(xué)科排名
書目名稱Biomedical Signal Processing網(wǎng)絡(luò)公開度
書目名稱Biomedical Signal Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Biomedical Signal Processing被引頻次
書目名稱Biomedical Signal Processing被引頻次學(xué)科排名
書目名稱Biomedical Signal Processing年度引用
書目名稱Biomedical Signal Processing年度引用學(xué)科排名
書目名稱Biomedical Signal Processing讀者反饋
書目名稱Biomedical Signal Processing讀者反饋學(xué)科排名
作者: 啟發(fā) 時間: 2025-3-21 21:14 作者: NIB 時間: 2025-3-22 02:02
Joost Buurman,Piet Rietveld,Henk Scholtenhe within-subject variability evaluation for outliers’ removal and reliable curves’ selection. The patterns are then used for deep learning of discriminative classifiers. The proposed pre-processing method encompasses steps of gait events detection, normalization, outlier detection, and cycles’ sele作者: Costume 時間: 2025-3-22 05:39 作者: tattle 時間: 2025-3-22 12:07
Farmland Use Transition in Chinas on the anterior chest surface with consistently strong signal strength and high signal-to-noise ratio. In the current study, the SCG signals were acquired in 15 healthy male subjects along with ECG and respiratory flow measurements for 5–10?min. Here, SCG signals were acquired using an array of 32作者: 首創(chuàng)精神 時間: 2025-3-22 13:35 作者: 極大的痛苦 時間: 2025-3-22 20:11 作者: Nmda-Receptor 時間: 2025-3-23 00:27
Rural Restructuring in Eastern Coastal Chinascalar figure of merit..In this chapter, we discuss the deficiencies of existing metrics for a seizure detection task and propose several new metrics that offer a more balanced view of performance. We demonstrate these metrics on a seizure detection task based on the TUH EEG Seizure Corpus. We intro作者: laceration 時間: 2025-3-23 02:50 作者: 轎車 時間: 2025-3-23 06:29
A Comparative Study of End-To-End Discriminative Deep Learning Models for Knee Joint Kinematic Timehe within-subject variability evaluation for outliers’ removal and reliable curves’ selection. The patterns are then used for deep learning of discriminative classifiers. The proposed pre-processing method encompasses steps of gait events detection, normalization, outlier detection, and cycles’ sele作者: 常到 時間: 2025-3-23 12:48 作者: 貪婪的人 時間: 2025-3-23 16:46 作者: Microaneurysm 時間: 2025-3-23 18:12
Determination of Vascular Access Stenosis Location and Severity by Multi-domain Analysis of Blood Say was used to transduce bruits, which were filtered and amplified by a transimpedance amplifier. The required bandwidth and dynamic range for the amplifier were determined by analyzing the signal properties of bruits recorded from a vascular phantom. After digital conversion, temporospectral-based 作者: GROVE 時間: 2025-3-24 00:09 作者: HPA533 時間: 2025-3-24 04:16
Objective Evaluation Metrics for Automatic Classification of EEG Events,scalar figure of merit..In this chapter, we discuss the deficiencies of existing metrics for a seizure detection task and propose several new metrics that offer a more balanced view of performance. We demonstrate these metrics on a seizure detection task based on the TUH EEG Seizure Corpus. We intro作者: 碎石 時間: 2025-3-24 08:11
Iyad Obeid,Ivan Selesnick,Joseph PiconePresents an interdisciplinary look at research trends in signal processing and biomedicine.Promotes collaboration between healthcare practitioners and signal processing researchers.Includes tutorials 作者: 充滿裝飾 時間: 2025-3-24 12:26
http://image.papertrans.cn/b/image/188094.jpg作者: 否認 時間: 2025-3-24 17:45
Joost Buurman,Piet Rietveld,Henk Scholtens a noninvasive, low-cost, and easy-to-use neuroimaging tool to measure brain activities in BCIs. An fNIRS-based BCI algorithm receives fNIRS recordings and employs classification techniques to decode the intended tasks. Designing a BCI classification algorithm which can accurately decode user’s int作者: hermitage 時間: 2025-3-24 19:23
Joost Buurman,Piet Rietveld,Henk Scholtenon angle variations during locomotion, is to assist diagnosis of knee joint pathologies. These signals are informative but of high dimensionality and high within-subject variability, serious difficulties which are often referred to as the curse of dimensionality. In general, current machine learning作者: 手銬 時間: 2025-3-24 23:52 作者: SAGE 時間: 2025-3-25 05:16
Farmland Use Transition in Chinacal sensing applications using wearable, passive, unobtrusive smart garment devices. Stretching of knitted fabric antennas embedded into wearable garments allows correlation of physical properties of backscattered RFID interrogation signals to human biomedical activities such as respiration, uterine作者: 不可思議 時間: 2025-3-25 11:11
Farmland Use Transition in Chinaing accelerometers on the chest surface, appear to be primarily generated by myocardial muscle activity, blood momentum changes, and heart valve movements. SCG signals contain important features associated with cardiac mechanical activity, which can be used for monitoring/predicting cardiac health. 作者: Obedient 時間: 2025-3-25 14:29 作者: 寬度 時間: 2025-3-25 16:30 作者: Infraction 時間: 2025-3-25 20:50 作者: Largess 時間: 2025-3-26 03:24 作者: 共棲 時間: 2025-3-26 04:56 作者: 爭論 時間: 2025-3-26 12:10
Book 2021 and Applications. presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.作者: 消耗 時間: 2025-3-26 14:58 作者: 脫落 時間: 2025-3-26 19:20
Nonlinear Smoothing of Core Body Temperature Data with Random Gaps and Outliers (DRAGO),tion-minimization procedure and show its performance on simulated data. Finally, we demonstrate utility of the proposed method for estimating the circadian rhythm of core body temperature in cognitively normal elderly.作者: BLANK 時間: 2025-3-27 00:06 作者: 拋物線 時間: 2025-3-27 04:57
Book 2021ing, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, mach作者: 合同 時間: 2025-3-27 06:13 作者: Ledger 時間: 2025-3-27 11:40 作者: Irritate 時間: 2025-3-27 13:44 作者: orient 時間: 2025-3-27 21:04 作者: 繼承人 時間: 2025-3-27 22:41 作者: COLIC 時間: 2025-3-28 05:27
Determination of Vascular Access Stenosis Location and Severity by Multi-domain Analysis of Blood Sss is essential to reduce the risk of sudden clotting caused by vascular stenosis, to maintain patency of the access, and to avoid hospitalization or central catheter placement. Current imaging technologies are costly and unsuitable for widespread monitoring of vascular access, and they cannot detec作者: 現(xiàn)任者 時間: 2025-3-28 06:39
Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning,on activities in the brain. EEG is typically used to diagnose and monitor disorders such as epilepsy, sleep disorders, and brain death and to help the advancement of various fields of science such as cognitive science and psychology. Unfortunately, EEGs usually suffer from a variety of artifacts, su作者: pulmonary-edema 時間: 2025-3-28 12:24
Objective Evaluation Metrics for Automatic Classification of EEG Events,mmon quantitative scalar evaluation metrics such as sensitivity and specificity can often be misleading and not accurately integrate application requirements. Evaluation metrics must ultimately reflect the needs of users yet be sufficiently sensitive to guide algorithm development. For example, feed作者: heterogeneous 時間: 2025-3-28 16:39
