Abstract：
:In this paper, we investigate the spectral efficiency of a communication link in a wireless body area network (WBAN) capable of harvesting energy from the environment. We consider two scenarios for the transmission which are single- and dual-hop and achieve the power management policy for each scenario. In the first scenario, the aim is to maximize the link's spectral efficiency over N time slots subject to the battery capacity, energy harvesting constraint, and WBAN limitations including power and outage probability. In the second scenario, a decode-and-forward relay node is considered, and a spectral efficiency optimization problem with constraints similar to the first scenario is evaluated. In addition, since the channel distribution information is available at the transmitters, the lower and upper bounds of the average spectral efficiency are also derived in both scenarios. Finally, numerical results corroborate the analytical results.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Mosavat-Jahromi H,Maham B,Tsiftsis TAdoi
10.1109/JBHI.2016.2536642subject
Has Abstractpub_date
2017-05-01 00:00:00pages
732-742issue
3eissn
2168-2194issn
2168-2208journal_volume
21pub_type
杂志文章abstract：OBJECTIVE:to provide a proof-of-concept tool for segmenting chronic wounds and transmitting the results as instructions and coordinates to a bioprinter robot and thus facilitate the treatment of chronic wounds. METHODS:several segmentation methods used for measuring wound geometry, including edge-detection and morphol...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2743526
更新日期：2018-07-01 00:00:00
abstract：:Image classification using convolutional neural networks (CNNs) outperforms other state-of-the-art methods. Moreover, attention can be visualized as a heatmap to improve the explainability of results of a CNN. We designed a framework that can generate heatmaps reflecting lesion regions precisely. We generated initial ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3011805
更新日期：2020-12-01 00:00:00
abstract：:Wireless medical sensor networks (MSNs) are a key enabling technology in e-healthcare that allows the data of a patient's vital body parameters to be collected by the wearable or implantable biosensors. However, the security and privacy protection of the collected data is a major unsolved issue, with challenges coming...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2268897
更新日期：2014-01-01 00:00:00
abstract：:Health Information Exchange (HIE) exhibits remarkable benefits for patient care such as improving healthcare quality and expediting coordinated care. The Office of the National Coordinator (ONC) for Health Information Technology is seeking patient-centric HIE designs that shift data ownership from providers to patient...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2993072
更新日期：2020-08-01 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：:In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/jbhi.2012.2234129
更新日期：2013-05-01 00:00:00
abstract：:Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) images is crucial for dealing with a hemorrhagic stroke. However, due to the high variability of a stroke's location, contrast, and shape,...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3028243
更新日期：2020-10-01 00:00:00
abstract：:Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First, different emphysematous tissue appears in different scales, which we call "inter-class variations." Second, ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2890045
更新日期：2019-11-01 00:00:00
abstract：:Wearable health sensors are about to change our health system. While several technological improvements have been presented to enhance performance and energy-efficiency, battery runtime is still a critical concern for practical use of wearable biomedical sensor systems. The runtime limitation is directly related to th...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2708041
更新日期：2018-01-01 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：:We present our efforts toward enabling a wearable sensor system that allows for the correlation of individual environmental exposures with physiologic and subsequent adverse health responses. This system will permit a better understanding of the impact of increased ozone levels and other pollutants on chronic asthma c...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2573286
更新日期：2016-09-01 00:00:00
abstract：:Multi-modality data convey complementary information that can be used to improve the accuracy of prediction models in disease diagnosis. However, effectively integrating multi-modality data remains a challenging problem, especially when the data are incomplete. For instance, more than half of the subjects in the Alzhe...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2732287
更新日期：2018-07-01 00:00:00
abstract：:Artificial intelligence and decision support systems offer a plethora of health monitoring capabilities in ambient assisted living environment. Continuous assessment of health indicators for elderly people living on their own is of utmost importance, so as to prolong their independence and quality of life. Slow varyin...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2014.2336757
更新日期：2015-01-01 00:00:00
abstract：:Monitoring breath and identifying breathing movements have settled importance in many biomedical research areas, especially in the treatment of those with breathing disorders, e.g., lung cancer patients. Moreover, virtual reality (VR) revolution and their implementations on ubiquitous hand-held devices have a lot of i...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2244901
更新日期：2013-03-01 00:00:00
abstract：:Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care specialists. The problem lies in developing person independent models while facing a large variability in behavior. We address this problem by, first, proposing a...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2593980
更新日期：2017-07-01 00:00:00
abstract：:This paper proposes a novel hybrid network named multiple-feature-branch convolutional bidirectional recurrent neural network (MFB-CBRNN) for myocardial infarction (MI) detection using 12-lead ECGs. The model efficiently combines convolutional neural network-based and recurrent neural network-based structures. Each fe...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2910082
更新日期：2020-02-01 00:00:00
abstract：:Opioid misuse and overdose have become a public health hazard and caused drug addiction and death in the United States due to rapid increase in prescribed and non-prescribed opioid usage. The misuse and overdose are highly related to opioid over-prescription for chronic and acute pain treatment, where a one-size-fits-...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.2992973
更新日期：2021-01-01 00:00:00
abstract：:Radio-frequency catheter ablation (RCA) is an established treatment for ventricular tachycardia (VT). A key feature of the RCA procedure is the need for a mapping approach that facilitates the identification of the target ablation site. In this study, we investigate the effect of the location of the reference potentia...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2268012
更新日期：2014-01-01 00:00:00
abstract：:Intrahospital transfers are a common but hazardous aspect of hospital care, with a large number of incidents posing a threat to patient safety. A growing body of work advocates the use of checklists for minimizing intrahospital transfer risk, but the majority of existing checklists are not guaranteed to be error-free ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2016.2579881
更新日期：2017-07-01 00:00:00
abstract：OBJECTIVE:This paper presents a methodology to automatically screen for sleep apnea based on the detection of apnea and hypopnea events in the blood oxygen saturation (SpO2) signal. METHODS:It starts by detecting all desaturations in the SpO2 signal. From these desaturations, a total of 143 time-domain features are ex...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2018.2817368
更新日期：2019-03-01 00:00:00
abstract：:The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intelligence (AI) and leveraging the large-scale and up-to-date data generated...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3009314
更新日期：2020-10-01 00:00:00
abstract：:With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its founda...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章,评审
doi：10.1109/JBHI.2016.2636665
更新日期：2017-01-01 00:00:00
abstract：:Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number of clinician-administered walking tests, is the primary measure of gait impairment used by clinical researchers, but inertial gait features from...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2017.2773629
更新日期：2018-01-01 00:00:00
abstract：:The most commonly used oscillometric upper-arm (UA) blood pressure (BP) monitors are not convenient enough for ambulatory BP monitoring, given the large size of the arm cuff and the compression of UA during the measurement. Finger-worn oscillometric BP devices featuring miniaturized finger cuff have been developed and...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2019.2919896
更新日期：2020-02-01 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：: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：:Diabetic retinopathy (DR) is a complication of diabetes that severely affects eyes. It can be graded into five levels of severity according to international protocol. However, optimizing a grading model to have strong generalizability requires a large amount of balanced training data, which is difficult to collect, pa...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3045475
更新日期：2020-12-17 00:00:00
abstract：:Recently, the advances in passive brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have shed light on real-world neuromonitoring technologies. However, human variability in the EEG activities hinders the development of practical applications of EEG-based BCI. To tackle this problem, many transfer-l...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2020.3025865
更新日期：2020-09-22 00:00:00
abstract：:Ultrasonography has been widely used to evaluate duodenogastric reflux (DGR). But to the best of our knowledge, no automatic analysis system was developed to realize the quantitative computer-aided analysis. In this paper, we propose a system to perform the automatic detection of DGR in the ultrasonic image sequences ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2272090
更新日期：2014-01-01 00:00:00
abstract：:Loneliness is a common condition in elderly associated with severe health consequences including increased mortality, decreased cognitive function, and poor quality of life. Identifying and assisting lonely individuals is therefore increasingly important-especially in the home setting-as the very nature of loneliness ...
journal_title：IEEE journal of biomedical and health informatics
pub_type： 杂志文章
doi：10.1109/JBHI.2013.2294276
更新日期：2014-09-01 00:00:00
