Abstract：
OBJECTIVE:Functional electrical stimulation (FES) is a common technique to elicit muscle contraction and help improve muscle strength. Traditional FES over the muscle belly typically only activates superficial muscle regions. In the case of hand FES, this prevents the activation of the deeper flexor muscles which control the distal finger joints. Here, we evaluated whether an alternative transcutaneous nerve-bundle stimulation approach can activate both superficial and deep extrinsic finger flexors using a high-density stimulation grid. METHODS:Transverse ultrasound of the forearm muscles was used to obtain cross-sectional images of the underlying finger flexors during stimulated finger flexions and kinematically-matched voluntary motions. Finger kinematics were recorded, and an image registration method was used to capture the large deformation of the muscle regions during each flexion. This deformation was used as a surrogate measure of the contraction of muscle tissue, and the regions of expanding tissue can identify activated muscles. RESULTS:The nerve-bundle stimulation elicited contractions in the superficial and deep finger flexors. Both separate and concurrent activation of these two muscles were observed. Joint kinematics of the fingers also matched the expected regions of muscle contractions. CONCLUSIONS:Our results showed that the nerve-bundle stimulation technique can activate the deep extrinsic finger flexors, which are typically not accessible via traditional surface FES. SIGNIFICANCE:Our nerve-bundle stimulation method enables us to produce the full range of motion of different joints necessary for various functional grasps, which could benefit future neuroprosthetic applications.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Shin H,Hawari MA,Hu Xdoi
10.1109/JBHI.2020.3041669subject
Has Abstractpub_date
2020-12-01 00:00:00eissn
2168-2194issn
2168-2208journal_volume
PPpub_type
杂志文章abstract：:Exergaming is expanding as an option for sedentary behavior in childhood/adult obesity and for extra exercise for gamers. This paper presents the development process for a mobile active sports exergame with near-realistic motions through the usage of body-wearable sensors. The process begins by collecting a dataset sp...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2293674
更新日期：2014-03-01 00:00:00
abstract：:In the analysis of histopathological images, both holistic (e.g., architecture features) and local appearance features demonstrate excellent performance, while their accuracy may vary dramatically when providing different inputs. This motivates us to investigate how to fuse results from these features to enhance the a...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2461671
更新日期：2016-09-01 00:00:00
abstract：:High costs in health care and everlasting need for quality improvement in care delivery is increasingly becoming the motivating factor for novel predictive studies in health care informatics. Surgical services impact both the operating theatre costs and revenues and play critical role in care quality. Efficiency of su...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2956973
更新日期：2020-07-01 00:00:00
abstract：:Pelvic organ prolapse (POP) is a major women's health problem. Its diagnosis through magnetic resonance imaging (MRI) has become popular due to current inaccuracies of clinical examination. The diagnosis of POP on MRI consists of identifying reference points on pelvic bone structures for measurement and evaluation. Ho...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2302437
更新日期：2014-07-01 00:00:00
abstract：:There are many statistics available to the applied statistician for assessing model fit and even more methods for assessing internal and external validity. We detail a useful approach using a grid search technique that balances the internal model consistency with generalizability and can be used with models that natur...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2948734
更新日期：2020-06-01 00:00:00
abstract：:The classification of six types of white blood cells (WBCs) is considered essential for leukemia diagnosis, while the classification is labor-intensive and strict with the clinical experience. To relieve the complicated process with an efficient and automatic method, we propose the Attention-aware Residual Network bas...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3012711
更新日期：2020-07-29 00:00:00
abstract：:This work proposes a new approach for the segmentation of the extensor tendon in ultrasound images of the second metacarpophalangeal joint (MCPJ). The MCPJ is known to be frequently involved in early stages of rheumatic diseases like rheumatoid arthritis. The early detection and follow up of these diseases is importan...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2723819
更新日期：2018-07-01 00:00:00
abstract：OBJECTIVE:Left ventricular assist devices (LVADs) fail in up to 10% of patients due to the development of pump thrombosis. Remote monitoring of patients with LVADs can enable early detection and, subsequently, treatment and prevention of pump thrombosis. We assessed whether acoustical signals measured on the chest of p...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2966178
更新日期：2020-07-01 00:00:00
abstract：:Depression is the leading cause of disability, often undiagnosed, and one of the most treatable mood disorders. As such, unobtrusively diagnosing depression is important. Many studies are starting to utilize machine learning for depression sensing from social media and Smartphone data to replace the survey instruments...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2983035
更新日期：2020-11-01 00:00:00
abstract：:Accurate detection of individual intake gestures is a key step towards automatic dietary monitoring. Both inertial sensor data of wrist movements and video data depicting the upper body have been used for this purpose. The most advanced approaches to date use a two-stage approach, in which (i) framelevel intake probab...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3046613
更新日期：2020-12-23 00:00:00
abstract：GOAL:The purpose of this study was to provide an initial examination of the utility of the Beta Process - Auto Regressive - Hidden Markov Model (BP-AR-HMM) for the prior identification of gait events. A secondary objective was to determine whether the output of the model could be used for classification and prediction ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3028827
更新日期：2020-10-05 00:00:00
abstract：:Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and diminutive, where removal of them poses risks to patients that may outweigh the benefits. Correctly detecting and predicting polyp type during colonoscopy al...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2635662
更新日期：2017-01-01 00:00:00
abstract：:Robotic-assisted needle steering can enhance the accuracy of needle-based interventions. Application of current needle steering techniques are restricted by the limited deflection curvature of needles. Here, a novel steerable needle with improved curvature is developed and used with an online motion planner to steer t...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2780192
更新日期：2018-11-01 00:00:00
abstract：:Implantable wireless neural recording from a large ensemble of simultaneously acting neurons is a critical component to thoroughly investigate neural interactions and brain dynamics from freely moving animals. Recent researches have shown the feasibility of simultaneously recording from hundreds of neurons and suggest...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2416202
更新日期：2015-05-01 00:00:00
abstract：:Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of malignant skin tumors is a significant goal, especially considering treatment is normally effective if the tumor is detected early. Limited published histopathological image sets and the lack of an intuitive correspondence ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2021.3052044
更新日期：2021-01-15 00:00:00
abstract：:The recorded electroencephalography (EEG) signals are usually contaminated by electrooculography (EOG) artifacts. In this paper, by using independent component analysis (ICA) and multivariate empirical mode decomposition (MEMD), the ICA-based MEMD method was proposed to remove EOG artifacts (EOAs) from multichannel EE...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2450196
更新日期：2016-09-01 00:00:00
abstract：:Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of research attentions due to the high expenditure associated with the current inpatient stroke rehabilitation systems. To realize an autonomous systems, a reliable patien...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2430524
更新日期：2016-05-01 00:00:00
abstract：:This paper proposes a new blind end-member and abundance extraction (BEAE) method for multispectral fluorescence lifetime imaging microscopy (m-FLIM) data. The chemometrical analysis relies on an iterative estimation of the fluorescence decay end-members and their abundances. The proposed method is based on a linear m...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2279335
更新日期：2014-03-01 00:00:00
abstract：:This paper proposes an anaesthesia monitoring system that accurately measures the depth of anaesthesia through 40-Hz auditory steady-state response. With accurate and fast depth of anaesthesia measuring, the monitor can reduce the incidence of awareness during surgical operation. The proposed denoising method for extr...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2778140
更新日期：2018-11-01 00:00:00
abstract：:The use of wearable sensors coupled with the processing power of mobile phones may be an attractive way to provide real-time feedback about physical activity and energy expenditure (EE). Here, we describe the use of a shoe-based wearable sensor system (SmartShoe) with a mobile phone for real-time recognition of variou...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2015.2432454
更新日期：2015-07-01 00:00:00
abstract：:Remote health monitoring (RHM) has emerged as a solution to help reduce the cost burden of unhealthy lifestyles and aging populations. Enhancing compliance to prescribed medical regimens is an essential challenge to many systems, even those using smartphone technology. In this paper, we provide a technique to improve ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 临床试验,杂志文章
doi：10.1109/JBHI.2014.2329712
更新日期：2015-01-01 00:00:00
abstract：:Functional electrical stimulation (FES) provides an effective way for foot drop (FD) correction. To overcome the redundant and blind stimulation problems in the state-of-the-art methods, this study proposes a closed-loop scheme for an adaptive electromyography (EMG)-modulated stimulation profile. The developed method ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2989747
更新日期：2021-01-01 00:00:00
abstract：:Accurate lymphoma segmentation on Positron Emission Tomography (PET) images is of great importance for medical diagnoses, such as for distinguishing benign and malignant. To this end, this paper proposes an adaptive weighting and scalable distance regularized level set evolution (AW-SDRLSE) method for delineating lymp...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3017546
更新日期：2020-08-25 00:00:00
abstract：:This work deals with the extraction of patient-specific coronary venous anatomy in preoperative multislice computed tomography (MSCT) volumes. A hybrid approach has been specifically designed for low-contrast vascular structure detection. It makes use of a minimum cost path technique with a Fast-Marching front propaga...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2245420
更新日期：2013-03-01 00:00:00
abstract：:Model-based Bayesian frameworks have a common problem in processing electrocardiogram (ECG) signals with sudden morphological changes. This situation often happens in the case of arrhythmias where ECGs do not obey the predefined state models. To solve this problem, in this paper, a model-based Bayesian denoising frame...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2706298
更新日期：2017-11-01 00:00:00
abstract：:Technology development in wearable sensors and biosignal processing has made it possible to detect human stress from the physiological features. However, the intersubject difference in stress responses presents a major challenge for reliable and accurate stress estimation. This research proposes a novel cluster-based ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章,随机对照试验
doi：10.1109/JBHI.2014.2311044
更新日期：2015-01-01 00:00:00
abstract：:Multichannel image registration is an important challenge in medical image analysis. Multichannel images result from modalities such as dual-energy CT or multispectral microscopy. Besides, multichannel feature images can be derived from acquired images, for instance, by applying multiscale feature banks to the origina...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2844361
更新日期：2019-05-01 00:00:00
abstract：:Optical coherence tomography angiography (OCTA) is an emerging non-invasive imaging technique for imaging the microvasculature of the eye based on phase variance or amplitude decorrelation derived from repeated OCT images of the same tissue area. Stripe noise occurs during the OCTA acquisition process due to the invol...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2997381
更新日期：2020-12-01 00:00:00
abstract：:Unobtrusive, contactless recordings of physiological signals are very important for many health and human-computer interaction applications. Most current systems require sensors which intrusively touch the user's skin. Recent advances in contact-free physiological signals open the door to many new types of application...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2291900
更新日期：2014-07-01 00:00:00
abstract：:Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow providing clinicians with parameters for diagnostic decision making. Many of these measurements are performed automatically with high accuracy, increa...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3029392
更新日期：2020-10-07 00:00:00
