標(biāo)題: Titlebook: Biomedical Signal Processing; Advances in Theory, Ganesh Naik Book 2020 Springer Nature Singapore Pte Ltd. 2020 Biomedical Signal Processi [打印本頁(yè)] 作者: 瘦削 時(shí)間: 2025-3-21 18:18
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: 合唱團(tuán) 時(shí)間: 2025-3-21 20:31
2196-8861 nd applications with examples.Offers an in-depth analysis of.This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified作者: BRAND 時(shí)間: 2025-3-22 02:58 作者: Ceremony 時(shí)間: 2025-3-22 08:31
Syntactic Methods for ECG Signal Diagnosis and QRS Complexes RecognitionG signal analysis. Thus, this chapter will provide an overview of the related methods and show that syntactic methods and regular grammar can be supported for ECG analysis and especially for the recognition of QRS complexes. A comparative study with a huge number of known methods will be presented.作者: slow-wave-sleep 時(shí)間: 2025-3-22 12:40
https://doi.org/10.1007/978-1-4020-9670-9the diagnosis process of CVD remotely. Therefore, it is necessary to explore various techniques for the detection of CVD and the complexity involved in it. This chapter does the review and covers various methods to process the ECG signal and focuses on the low complexity algorithms to extract the significant clinical features of ECG.作者: acrophobia 時(shí)間: 2025-3-22 16:20
Extraction of ECG Significant Features for Remote CVD Monitoringthe diagnosis process of CVD remotely. Therefore, it is necessary to explore various techniques for the detection of CVD and the complexity involved in it. This chapter does the review and covers various methods to process the ECG signal and focuses on the low complexity algorithms to extract the significant clinical features of ECG.作者: FLING 時(shí)間: 2025-3-22 19:40
Book 2020ysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.?.作者: 里程碑 時(shí)間: 2025-3-22 23:34 作者: Rct393 時(shí)間: 2025-3-23 04:43 作者: 泥沼 時(shí)間: 2025-3-23 09:31 作者: 老巫婆 時(shí)間: 2025-3-23 11:35 作者: SPURN 時(shí)間: 2025-3-23 13:55 作者: tenosynovitis 時(shí)間: 2025-3-23 19:46
Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robotse ankle. During rehabilitation, once the intended motion is recognised, the activation functions extracted from an individual associated EMG channel can be used to estimate both the torque and angle by using the established nonlinear models. Experimental results demonstrated the effectiveness of the proposed approach.作者: 字的誤用 時(shí)間: 2025-3-24 00:22 作者: Flatus 時(shí)間: 2025-3-24 03:51 作者: ABHOR 時(shí)間: 2025-3-24 09:25
David García-álvarez,Martin PaegelowLocomotion is a highly skillful task that we humans perform using our two limbs to commute from one place to another.作者: 檔案 時(shí)間: 2025-3-24 13:27
Force Myography and Its Application to Human LocomotionLocomotion is a highly skillful task that we humans perform using our two limbs to commute from one place to another.作者: 運(yùn)動(dòng)的我 時(shí)間: 2025-3-24 17:49 作者: ectropion 時(shí)間: 2025-3-24 22:44 作者: 發(fā)展 時(shí)間: 2025-3-25 02:39
https://doi.org/10.1007/978-981-13-9097-5Biomedical Signal Processing; EEG Signal Processing; EMG Signal Processing; ECG Signal Processing; Respi作者: LEERY 時(shí)間: 2025-3-25 06:20 作者: Lobotomy 時(shí)間: 2025-3-25 10:38
J?rg Niew?hner,Antje Bruns,Daniel Müllerthe skin or inserted in the muscle. EMG pattern recognition based myoelectric control systems typically contain data pre-processing, data segmentation, feature extraction, dimensionality reduction, and classification. The real challenge for prostheses and gesture recognition interfaces are the dynam作者: intricacy 時(shí)間: 2025-3-25 13:23
https://doi.org/10.1007/978-3-319-33628-2ded body movement of the patients can be well identified. In this chapter, we first use the SVM classifier to identify the intended motion patterns, which are plantarflexion and dorsiflexion, by using three wireless EMG sensors placed at the tibialis anterior, gastrocnemius lateralis and gastrocnemi作者: CAPE 時(shí)間: 2025-3-25 18:13
Land Use Cover Datasets and Validation Tools-to-day tasks. Surface electromyography (sEMG) has been widely used for stroke rehabilitation and assessment of muscle activities for different force levels. In this regard, it is very important to know the function and differences between various muscles involved in the stroke rehabilitation proces作者: 用不完 時(shí)間: 2025-3-25 20:31
Land Use Cover Datasets and Validation Toolsies is the Brain-Machine Interface. Combined with EEG signals, this technique may allow individuals with some motor disabilities to perform activities of daily living. Motor Imagery came up as an important tool to support this population. So they may send commands to external devices by using their 作者: 皮薩 時(shí)間: 2025-3-26 00:47 作者: 荒唐 時(shí)間: 2025-3-26 04:36
Land Use Dynamics in a Developing Economypsy. In this chapter two band biorthogonal wavelet filter banks are used for classification of nonseizure and seizure EEG signals, and their classification accuracy has been evaluated. The energy or the bispectral phase entropies of the wavelet subbands can be used to discriminate nonseizure and sei作者: Efflorescent 時(shí)間: 2025-3-26 09:34 作者: 河潭 時(shí)間: 2025-3-26 16:17
R. B. Singh,Chenchen Shi,Xiangzheng Dengpattern recognition study, the first time the authors have attempted to use time domain (TD) features such as waveform length (WL), number of zero-crossings (ZC) and number of slope sign changes (SSC) derived directly from filtered EEG data and from discrete wavelet transform (DWT) of filtered EEG d作者: defuse 時(shí)間: 2025-3-26 19:01
Izuru Saizen,Narumasa Tsutsumidas . and is assumed negligible (near zero) in amplitude. Consequently, the precordial leads have been named as the .. Although this assumption was found incorrect immediate after this reference potential was introduced, it was difficult to measure its real amplitude. We recently introduced a 15-lead 作者: Flounder 時(shí)間: 2025-3-26 21:21
Yohei Chiba,Rajib Shaw,Michiko Banba around the world. Moreover, different types of heart diseases are the most common causes of mortality. This chapter, therefore, investigates a cardiac disorders database (ECG) with 17 classes (normal sinus rhythm, the rhythm of the pacemaker, and fifteen arrhythmias) using a novel classification me作者: 集聚成團(tuán) 時(shí)間: 2025-3-27 01:38
Sunil Prashar,Md. Anisur Rahmangenerate real-time emergency alarms before a heart attack but also be mined in a long-term manner for risk pattern discovery. ECG signal has specific characteristics in multiple domain, such as the temporal, frequency, statistical, and phase domains, each of which can reveal some interesting medical作者: mitten 時(shí)間: 2025-3-27 07:31
Genta Nakano,Piyoosh Rautela,Rajib Shaweed, the ECG is recorded with one or multiple leads (or channels) from different body locations. The signals from different ECG leads represent the cardiac activity in different spatial directions and are thus complementary to each other. In traditional methods, the ECG signal is represented as a ve作者: outer-ear 時(shí)間: 2025-3-27 13:28 作者: Nefarious 時(shí)間: 2025-3-27 15:12 作者: 為現(xiàn)場(chǎng) 時(shí)間: 2025-3-27 20:11
Biomedical Signal Processing978-981-13-9097-5Series ISSN 2196-8861 Series E-ISSN 2196-887X 作者: justify 時(shí)間: 2025-3-28 01:27 作者: 極深 時(shí)間: 2025-3-28 03:07 作者: 進(jìn)步 時(shí)間: 2025-3-28 07:11 作者: 有發(fā)明天才 時(shí)間: 2025-3-28 11:23 作者: cogent 時(shí)間: 2025-3-28 15:44 作者: 不持續(xù)就爆 時(shí)間: 2025-3-28 18:58 作者: Noisome 時(shí)間: 2025-3-28 23:15 作者: Aspirin 時(shí)間: 2025-3-29 06:16 作者: 留戀 時(shí)間: 2025-3-29 09:03
Unipolar Cardiac Leads Between History and Sciences . and is assumed negligible (near zero) in amplitude. Consequently, the precordial leads have been named as the .. Although this assumption was found incorrect immediate after this reference potential was introduced, it was difficult to measure its real amplitude. We recently introduced a 15-lead 作者: HACK 時(shí)間: 2025-3-29 12:15
Novel Methodology for Cardiac Arrhythmias Classification Based on Long-Duration ECG Signal Fragments around the world. Moreover, different types of heart diseases are the most common causes of mortality. This chapter, therefore, investigates a cardiac disorders database (ECG) with 17 classes (normal sinus rhythm, the rhythm of the pacemaker, and fifteen arrhythmias) using a novel classification me作者: 狂熱語(yǔ)言 時(shí)間: 2025-3-29 17:08 作者: Clinch 時(shí)間: 2025-3-29 20:49 作者: fluffy 時(shí)間: 2025-3-30 00:26
Syntactic Methods for ECG Signal Diagnosis and QRS Complexes Recognitionescribe natural languages and software engineering. However, the grammatical discipline can be extended to join other areas of applications such as ECG signal analysis. Thus, this chapter will provide an overview of the related methods and show that syntactic methods and regular grammar can be suppo作者: ostracize 時(shí)間: 2025-3-30 06:59
Extraction of ECG Significant Features for Remote CVD Monitoringgh mortality rate, around 30% of deaths all over the world are due to the CVD as per the World Health Organization (WHO) statistics. With the advancement of medical industry and huge growth in IoT technology is gradually making the remote CVD monitoring a reality. During the real-time Electrocardiog作者: 山崩 時(shí)間: 2025-3-30 10:53
2196-8861 edical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.?.978-981-13-9099-9978-981-13-9097-5Series ISSN 2196-8861 Series E-ISSN 2196-887X 作者: evanescent 時(shí)間: 2025-3-30 13:28
Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Non-paretic Sidcles are more independent than triceps brachii muscles for different MVCs. The findings of this study could be used for measuring independence between muscles, which would help to identify and treat the specific muscle during stroke rehabilitation procedures.作者: 期滿 時(shí)間: 2025-3-30 20:24
Using Artificial Neural Networks on Multi-channel EEG Data to Detect the Effect of Binaural Stimuli network and compared its results to non-parametric statistical tests and Low-Resolution Brain Electromagnetic Tomography (eLORETA). Results obtained on eLORETA point to a strong increase in the current distribution, mostly in the Alpha 2 band, at the Anterior Cingulate, pertinent to the recognition
