IEEE Reviews in Biomedical Engineering最新文献_第10页

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes 情绪和认知过程中的眼动追踪指标综述

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-03-17 DOI: 10.1109/RBME.2021.3066072

Vasileios Skaramagkas;Giorgos Giannakakis;Emmanouil Ktistakis;Dimitris Manousos;Ioannis Karatzanis;Nikolaos S. Tachos;Evanthia Tripoliti;Kostas Marias;Dimitrios I. Fotiadis;Manolis Tsiknakis

{"title":"Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes","authors":"Vasileios Skaramagkas;Giorgos Giannakakis;Emmanouil Ktistakis;Dimitris Manousos;Ioannis Karatzanis;Nikolaos S. Tachos;Evanthia Tripoliti;Kostas Marias;Dimitrios I. Fotiadis;Manolis Tsiknakis","doi":"10.1109/RBME.2021.3066072","DOIUrl":"10.1109/RBME.2021.3066072","url":null,"abstract":"Eye behaviour provides valuable information revealing one’s higher cognitive functions and state of affect. Although eye tracking is gaining ground in the research community, it is not yet a popular approach for the detection of emotional and cognitive states. In this paper, we present a review of eye and pupil tracking related metrics (such as gaze, fixations, saccades, blinks, pupil size variation, etc.) utilized towards the detection of emotional and cognitive processes, focusing on visual attention, emotional arousal and cognitive workload. Besides, we investigate their involvement as well as the computational recognition methods employed for the reliable emotional and cognitive assessment. The publicly available datasets employed in relevant research efforts were collected and their specifications and other pertinent details are described. The multimodal approaches which combine eye-tracking features with other modalities (e.g. biosignals), along with artificial intelligence and machine learning techniques were also surveyed in terms of their recognition/classification accuracy. The limitations, current open research problems and prospective future research directions were discussed for the usage of eye-tracking as the primary sensor modality. This study aims to comprehensively present the most robust and significant eye/pupil metrics based on available literature towards the development of a robust emotional or cognitive computational model.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3066072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9359411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 50

What Ultrasound Can and Cannot Do in Implantable Medical Device Communications 超声在植入式医疗器械通信中能做什么和不能做什么

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-03-13 DOI: 10.1109/RBME.2021.3080087

Banafsaj Jaafar;Jeff Neasham;Patrick Degenaar

引用次数: 6

Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey 新兴的手势识别可穿戴界面和算法综述

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-03-07 DOI: 10.1109/RBME.2021.3078190

Shuo Jiang;Peiqi Kang;Xinyu Song;Benny P.L. Lo;Peter B. Shull

{"title":"Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey","authors":"Shuo Jiang;Peiqi Kang;Xinyu Song;Benny P.L. Lo;Peter B. Shull","doi":"10.1109/RBME.2021.3078190","DOIUrl":"10.1109/RBME.2021.3078190","url":null,"abstract":"Hands are vital in a wide range of fundamental daily activities, and neurological diseases that impede hand function can significantly affect quality of life. Wearable hand gesture interfaces hold promise to restore and assist hand function and to enhance human-human and human-computer communication. The purpose of this review is to synthesize current novel sensing interfaces and algorithms for hand gesture recognition, and the scope of applications covers rehabilitation, prosthesis control, exoskeletons for augmentation, sign language recognition, human-computer interaction, and user authentication. Results showed that electrical, mechanical, acoustical/vibratory, and optical sensing were the primary input modalities in gesture recognition interfaces. Two categories of algorithms were identified: 1) classification algorithms for predefined, fixed hand poses and 2) regression algorithms for continuous finger and wrist joint angles. Conventional machine learning algorithms, including linear discriminant analysis, support vector machines, random forests, and non-negative matrix factorization, have been widely used for a variety of gesture recognition applications, and deep learning algorithms have more recently been applied to further facilitate the complex relationship between sensor signals and multi-articulated hand postures. Future research should focus on increasing recognition accuracy with larger hand gesture datasets, improving reliability and robustness for daily use outside of the laboratory, and developing softer, less obtrusive interfaces.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3078190","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38960132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 56

Lower-Limb Medical and Rehabilitation Exoskeletons: A Review of the Current Designs 下肢医疗和康复外骨骼：当前设计综述

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-03-07 DOI: 10.1109/RBME.2021.3078001

Alberto Plaza;Mar Hernandez;Gonzalo Puyuelo;Elena Garces;Elena Garcia

{"title":"Lower-Limb Medical and Rehabilitation Exoskeletons: A Review of the Current Designs","authors":"Alberto Plaza;Mar Hernandez;Gonzalo Puyuelo;Elena Garces;Elena Garcia","doi":"10.1109/RBME.2021.3078001","DOIUrl":"10.1109/RBME.2021.3078001","url":null,"abstract":"Medical and rehabilitation exoskeletons are being increasingly considered by therapists when choosing a treatment for individuals affected by lower limb impairments. Although all such exoskeletons seem to provide similar features and performance, there are, in practice, significant differences among them in terms of maximum walking speed, maximum torque, weight, autonomy, interaction with the user, or even the way to use it. In this review, the state of the art of the main commercial exoskeletons is described, while analyzing their properties, advantages, and disadvantages. Three groups are considered: complete exoskeletons, partial exoskeletons and open lines of research. A comparative analysis between them is performed while considering the main scientific and technical aspects to be improved. In conclusion to this analysis, the balance between feasibility and innovation in exoskeletons development is a design challenge. Commercial exoskeletons must fulfil standards whilst ensuring their safety and robustness. However, achieving a new generation of exoskeletons means a need to implement new hardware paradigms, and to enhance control strategies focused on assist-as-needed scheme. Finally, some aspects to improve current designs of the exoskeleton are presented.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3078001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9415912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

2021 Index IEEE Reviews in Biomedical Engineering Vol. 14 2021生物医学工程IEEE评论索引第14卷

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-03-05 DOI: 10.1109/RBME.2021.3061839

引用次数: 0

Neuromuscular Controller Models for Quantifying Standing Balance in Older People: A Systematic Review 用于量化老年人站立平衡的神经肌肉控制器模型：系统综述

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-02-08 DOI: 10.1109/RBME.2021.3057673

Fredrik Olsson;Kjartan Halvorsen;Anna Cristina Åberg

{"title":"Neuromuscular Controller Models for Quantifying Standing Balance in Older People: A Systematic Review","authors":"Fredrik Olsson;Kjartan Halvorsen;Anna Cristina Åberg","doi":"10.1109/RBME.2021.3057673","DOIUrl":"10.1109/RBME.2021.3057673","url":null,"abstract":"Objective quantification of the balancing mechanisms in humans is strongly needed in health care of older people, yet is largely missing among current clinical balance assessment methods. Hence, the main goal of this literature review is to identify methods that have the potential to meet that need. We searched in the PubMed and IEEE Xplore databases using predefined criteria, screened 1064 articles, and systematically reviewed and categorized methods from 73 studies that deal with identification of neuromuscular controller models of human upright standing from empirical data. These studies were then analyzed with the particular aim to understand to what degree such methods would be useful solutions for assessing the balance of older individuals aged above 60 years. The 16 studies that included an older subject population were especially examined with this in mind. The majority of the reviewed articles focused on research questions related to the general function of human balance control rather than clinical applicability. Further efforts need to be made to adapt these methods for more accessible and mobile technologies and to ensure that the outcomes are valid for balance assessment of a general older population.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3057673","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9365575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Information and Communication Theoretical Understanding and Treatment of Spinal Cord Injuries: State-of-The-Art and Research Challenges 信息与通信理论对脊髓损伤的理解和治疗：最新技术和研究挑战

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-02-02 DOI: 10.1109/RBME.2021.3056455

Ozgur B. Akan;Hamideh Ramezani;Meltem Civas;Oktay Cetinkaya;Bilgesu A. Bilgin;Naveed A. Abbasi

{"title":"Information and Communication Theoretical Understanding and Treatment of Spinal Cord Injuries: State-of-The-Art and Research Challenges","authors":"Ozgur B. Akan;Hamideh Ramezani;Meltem Civas;Oktay Cetinkaya;Bilgesu A. Bilgin;Naveed A. Abbasi","doi":"10.1109/RBME.2021.3056455","DOIUrl":"10.1109/RBME.2021.3056455","url":null,"abstract":"Among the various key networks in the human body, the nervous system occupies central importance. The debilitating effects of spinal cord injuries (SCI) impact a significant number of people throughout the world, and to date, there is no satisfactory method to treat them. In this paper, we review the major treatment techniques for SCI that include promising solutions based on information and communication technology (ICT) and identify the key characteristics of such systems. We then introduce two novel ICT-based treatment approaches for SCI. The first proposal is based on neural interface systems (NIS) with enhanced feedback, where the external machines are interfaced with the brain and the spinal cord such that the brain signals are directly routed to the limbs for movement. The second proposal relates to the design of self-organizing artificial neurons (ANs) that can be used to replace the injured or dead biological neurons. Apart from SCI treatment, the proposed methods may also be utilized as enabling technologies for neural interface applications by acting as bio-cyber interfaces between the nervous system and machines. Furthermore, under the framework of Internet of Bio-Nano Things (IoBNT), experience gained from SCI treatment techniques can be transferred to nano communication research.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3056455","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9358744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Epilepsy Detection From EEG Using Complex Network Techniques: A Review 应用复杂网络技术从脑电图中检测癫痫的研究进展

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-02-01 DOI: 10.1109/RBME.2021.3055956

Supriya Supriya;Siuly Siuly;Hua Wang;Yanchun Zhang

{"title":"Epilepsy Detection From EEG Using Complex Network Techniques: A Review","authors":"Supriya Supriya;Siuly Siuly;Hua Wang;Yanchun Zhang","doi":"10.1109/RBME.2021.3055956","DOIUrl":"10.1109/RBME.2021.3055956","url":null,"abstract":"Epilepsy is one of the most chronic brain disorder recorded from since 2000 BC. Almost one-third of epileptic patients experience seizures attack even with medicated treatment. The menace of SUDEP (Sudden unexpected death in epilepsy) in an adult epileptic patient is approximately 8–17% more and 34% in a children epileptic patient. The expert neurologist manually analyses the Electroencephalogram (EEG) signals for epilepsy diagnosis. The non-stationary and complex nature of EEG signals this task more error-prone, time-consuming and even expensive. Hence, it is essential to develop automatic epilepsy detection techniques to ensure an appropriate identification and treatment of this disease. Nowadays, graph-theory has been considered as a prominent approach in the neuroscience field. The network-based approach characterizes a hidden sight of brain activity and brain-behavior mapping. The graph-theory not even helps to understand the underlying dynamics of EEG signals at microscopic, mesoscopic, and macroscopic level but also provide the correlation among them. This paper provides a review report about graph-theory based automated epilepsy detection methods. Furthermore, it will assist the expert's neurologist and researchers with the information of complex network-based epilepsy detection and aid the technician for developing an intelligent system that improving the diagnosis of epilepsy disorder.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3055956","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9358743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

External Cardiac Loop Recorders: Functionalities, Diagnostic Efficacy, Challenges and Opportunities 心外循环记录仪：功能、诊断效果、挑战和机遇

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-01-29 DOI: 10.1109/RBME.2021.3055219

Rama Reddy Rajanna;Natarajan Sriraam;V. S. Prakash;Prabhu Ravikala Vittala;Uma Arun;Sarthak Sahoo

{"title":"External Cardiac Loop Recorders: Functionalities, Diagnostic Efficacy, Challenges and Opportunities","authors":"Rama Reddy Rajanna;Natarajan Sriraam;V. S. Prakash;Prabhu Ravikala Vittala;Uma Arun;Sarthak Sahoo","doi":"10.1109/RBME.2021.3055219","DOIUrl":"10.1109/RBME.2021.3055219","url":null,"abstract":"According to the World Health Organization's (WHO) report of 2016, cardiovascular diseases (CVDs) accounted for mortality of an estimated 17.9 million people globally. Of these deaths, 85% were due to myocardial infarction and stroke. Further, the pre-dominant atrial fibrillation (AF) arrhythmia has been the most suspected underlying cause of transient ischemic attack or stroke. Thus, the etiologies of early symptoms like syncope and palpitations in patients needs to be evaluated by employing proper diagnostic tests to make early treatment decisions. The most widely referred 24 to 48 hour Holter electrocardiographic (ECG) monitoring tests have not been proved to be much effective in recognizing infrequent intermittent arrhythmic episodes. These drawbacks have led to the development of long-term ambulatory ECG (AECG) monitoring devices. This review reports the state-of-the-art existing AECG monitoring devices and their role of long-term ECG recording in patients suspected with cardiac syncope and palpitations to understand the underlying arrhythmic cause, as well as in the diagnosis and management of AF. Primarily, the utility and diagnostic yield of external cardiac recorders or event loop recorders (ELRs) in capturing the symptom-rhythm correlation which constitutes a clinically useful recordings of heart's electrical activity during infrequent arrhythmic conditions was critically reviewed. Furthermore, a brief case study on challenges involved in clinical data acquisition at a cardiac care unit using ambulatory external monitoring device has been presented. Finally, improvements in design engineering and algorithmic developments to enhance the diagnostic yield and usability of ELRs in clinical settings have been proposed.","PeriodicalId":39235,"journal":{"name":"IEEE Reviews in Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":17.6,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RBME.2021.3055219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25309753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Monitoring and Synchronization of Cardiac and Respiratory Traces in Magnetic Resonance Imaging: A Review 磁共振成像中心脏和呼吸道的监测与同步：综述

IF 17.6 1区工程技术

IEEE Reviews in Biomedical Engineering Pub Date : 2021-01-29 DOI: 10.1109/RBME.2021.3055550

Martina Ladrova;Radek Martinek;Jan Nedoma;Pavla Hanzlikova;Michael Douglas Nelson;Radana Kahankova;Jindrich Brablik;Jakub Kolarik

引用次数: 5