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BHI 2018: Las Vegas, NV, USA
- 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, BHI 2018, Las Vegas, NV, USA, March 4-7, 2018. IEEE 2018, ISBN 978-1-5386-2405-0
- Omid Dehzangi, Muhamed Farooq:
SSVEP recognition using discriminative score fusion and transformation for portable brain computer interface. 1-4 - Reena Patil, Ege Iseri, Stavros Zanos
, Eberhard E. Fetz, Yusuf Ozturk:
Phase-based cortico-cortical connectivity mapping in motor cortex of nonhuman primate. 5-8 - Alia Lemkaddem, Ricard Delgado-Gonzalo
Multi-modal driver drowsiness detection: A feasibility study. 9-12 - Hee-Tae Jung, Joonwoo Park, Jugyeong Jeong, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
A wearable monitoring system for at-home stroke rehabilitation exercises: A preliminary study. 13-16 - Anis Davoudi
Activity and circadian rhythm of sepsis patients in the Intensive Care Unit. 17-20 - Eman A. Hassan, Mohamed S. Elbially, Ahmed A. Morsy:
Monitoring and evaluation of ingestive activities. 21-24 - Hayato Uesawa, Tomoya Takehara, Akinori Ueno
Non-contact measurements of diaphragm electromyogram, electrocardiogram and respiratory variations with sheet-type fabric electrodes for neonatal monitoring. 25-28 - D. K. Arvind, C. A. Bates, D. J. Fischer, Janek Mann:
Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors. 29-32 - Md Juber Rahman
Severity classification of obstructive sleep apnea using only heart rate variability measures with an ensemble classifier. 33-36 - Trong-Nguyen Nguyen
Assessment of gait normality using a depth camera and mirrors. 37-41 - Shane Transue, Sayed Mohsin Reza
Behavioral analysis of turbulent exhale flows. 42-45 - Eleftherios E. Kontopodis, Georgios C. Manikis
Incremental diagnostic information obtained via novel Dynamic Contrast Enhanced MRI framework applied on Multiple Sclerosis patients: A preliminary study. 46-49 - Hong-Bo Xie, Tianruo Guo
Fuzzy entropy spectrum analysis for biomedical signals de-noising. 50-53 - Ricard Delgado-Gonzalo
Learning a physical activity classifier for a low-power embedded wrist-located device. 54-57 - Yue Zhou, Mary E. Jenkins, Michael D. Naish
Impact of suppressed tremor: Is suppression of proximal joints sufficient? 58-61 - Natasa Reljin, Hugo F. Posada-Quintero
Preliminary results on transthoracic bioimpedance measurements with a variety of electrode materials. 62-65 - Ameneh Boroomand, George Shaker, Plinio P. Morita, Alexander Wong, Jennifer Boger:
Autonomous gait speed estimation using 24GHz FMCW radar technology. 66-69 - Takashi Watanabe, Tasuku Miyazawa, Jun Shibasaki:
A study on IMU-based stride length estimation for motor disabled subjects: A comparison under different calculation methods of rotation matrix. 70-73 - Ahmad Al Kawam, Aniruddha Datta:
Fast and efficient genotype encoding using sparse 2D bitmaps for database-driven genomics applications. 74-78 - Syed Khairul Bashar
Developing a novel noise artifact detection algorithm for smartphone PPG signals: Preliminary results. 79-82 - Valeria De Luca, Amir Muaremi, Oonagh M. Giggins, Lorcan Walsh, Ieuan Clay
Towards fully instrumented and automated assessment of motor function tests. 83-87 - D. K. Arvind, C. A. Bates, D. J. Fischer, Janek Mann:
A sensor data collection environment for clinical trials investigating health effects of airborne pollution. 88-91 - Kostas M. Tsiouris
Unsupervised detection of epileptic seizures from EEG signals: A channel-specific analysis of long-term recordings. 92-95 - Vasileios C. Pezoulas
FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data. 96-99 - Isaac A. Corley, Yufei Huang:
Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks. 100-103 - Md Musaddaqul Hasib, Tapsya Nayak
A hierarchical LSTM model with attention for modeling EEG non-stationarity for human decision prediction. 104-107 - Jerry Antony Ajay, Chen Song, Aosen Wang, Jeanne Langan
A pervasive and sensor-free Deep Learning system for Parkinsonian gait analysis. 108-111 - Tuan D. Pham:
Pattern analysis and classification of blood oxygen saturation signals with nonlinear dynamics features. 112-115 - Ruhi Mahajan, Rishikesan Kamaleswaran
A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording. 116-119 - Bing Yao, Rui Zhu
Inverse ECG modeling with spatiotemporal regularization for the characterization of myocardial infarctions. 120-123 - Jinlong Ji, Xuhui Chen, Changqing Luo
A deep multi-task learning approach for ECG data analysis. 124-127 - Rui Zhang, Oliver Amft:
Free-living eating event spotting using EMG-monitoring eyeglasses. 128-132 - Adrian Tarniceriu, Jarkko Harju, Antti Vehkaoja
Detection of beat-to-beat intervals from wrist photoplethysmography in patients with sinus rhythm and atrial fibrillation after surgery. 133-136 - Miaolin Fan, Chun-An Chou:
Recognizing affective state patterns using regularized learning with nonlinear dynamical features of EEG. 137-140 - Seung-chul Shin, Sangyeop Lee, Taeho Lee, Kyoungwoo Lee, Yong Seung Lee, Hong-Goo Kang:
Two electrode based healthcare device for continuously monitoring ECG and BIA signals. 141-144 - Ahmet Ozan Bicen, Omer T. Inan:
A signal quality index for ballistocardiogram recordings based on electrocardiogram RR intervals and matched filtering. 145-148 - Hui Huang, Shiyan Hu, Ye Sun:
Energy-efficient ECG compression in wearable body sensor network by leveraging empirical mode decomposition. 149-152 - Yannick Benezeth, Peixi Li, Richard Macwan, Keisuke Nakamura, Randy Gomez, Fan Yang:
Remote heart rate variability for emotional state monitoring. 153-156 - Wenxin Tong, Chen Kan, Hui Yang
Sensitivity analysis of wearable textiles for ECG sensing. 157-160 - Jiaming Chen, Abolfazl Razi:
A predictive framework for ECG signal processing using controlled nonlinear transformation. 161-165 - Fernando Quivira, Toshiaki Koike-Akino
Translating sEMG signals to continuous hand poses using recurrent neural networks. 166-169 - Ridwan Alam
Inferring physical agitation in dementia using smartwatch and sequential behavior models. 170-173 - Bin Ye, Ioannis Basdekis, Michail Smyrlis
A big data repository and architecture for managing hearing loss related data. 174-177 - Huiquan Wang, S. Nizam Ahmed, Mrinal Mandal:
Efficient detection of mesial temporal sclerosis using hippocampus and CSF features in MRI images. 178-181 - Yonggun Lee, Yufei Huang:
Generating target/non-target images of an RSVP experiment from brain signals in by conditional generative adversarial network. 182-185 - Tingting Zhu
Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes. 186-189 - Andrei Ardelean, Amir Zjajo, Sumeet S. Kumar, Rene van Leuken:
Energy-efficient multipath ring network for heterogeneous clustered neuronal arrays. 190-193 - Kyriaki Hatziagapiou
Computational analysis of Gefitinib and methylated-hydroxypropylated cyclodextrin inclusion complexes for the treatment of childhood malignancies. 194-197 - Asem Alaa, Ahmed A. Metwally
Cloud-based solution for improving usability and interactivity of metagenomic ensemble taxonomic classification methods. 198-201 - Angel G. Cadena-Hernandez, Alejandro I. Trejo-Castro
Longitudinal gender-specific differences in the conversion from mild cognitive impairment to Alzheimer's disease. 202-205 - Ye Yuan, Guangxu Xun
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. 206-209 - Hedayat Abrishami, Matthew Campbell, Chia Y. Han, Richard Czosek, Xuefu Zhou:
P-QRS-T localization in ECG using deep learning. 210-213 - Hanbin Zhang, Aosen Wang, Dongmei Li, Wenyao Xu:
DeepVoice: A voiceprint-based mobile health framework for Parkinson's disease identification. 214-217 - Mohammed M. Alawad
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. 218-221 - Bing Leung Patrick Cheung, Deborah Dahl:
Deep learning from electronic medical records using attention-based cross-modal convolutional neural networks. 222-225 - M. A. H. Zahid, Joon Lee
Mortality prediction with self normalizing neural networks in intensive care unit patients. 226-229 - Eduardo Castro
Elastic deformations for data augmentation in breast cancer mass detection. 230-234 - Stephanos Leandrou, Ioannis Mamais
Hippocampal and entorhinal cortex volume changes in Alzheimer's disease patients and mild cognitive impairment subjects. 235-238 - Breawn Schoun, Shane Transue, Ann C. Halbower, Min-Hyung Choi:
Non-contact comprehensive breathing analysis using thermal thin medium. 239-242 - Nelson Martins, Malik Saad Sultan, Diana Veiga, Manuel Ferreira, Miguel T. Coimbra
Joint capsule segmentation in ultrasound images of the metacarpophalangeal joint using a split and merge approach. 243-246 - Ali Mahdi, Jun Qin:
Bottom up saliency evaluation via deep features of state-of-the-art convolutional neural networks. 247-250 - Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang
Prediction of heart transplant rejection using histopathological whole-slide imaging. 251-254 - Rajesh Amerineni, Lalit Gupta, Resh S. Gupta:
Classification models inspired by multisensory integration. 255-258 - Francesco Versaci
Kafka interfaces for composable streaming genomics pipelines. 259-262 - Wei Tian, Jie Liang:
On quantification of geometry and topology of protein pockets and channels for assessing mutation effects. 263-266 - Richard Macwan, Yannick Benezeth, Keisuke Nakamura, Randy Gomez, Yadong Wu, Alamin Mansouri:
Parameter-free adaptive step-size multiobjective optimization applied to remote photoplethysmography. 267-270 - Mohsen Imani, Tarek Nassar, Abbas Rahimi
HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. 271-274 - Mehdi Boukhechba, Sonia Baee, Alicia L. Nobles, Jiaqi Gong, Kristen J. Wells, Laura E. Barnes:
A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors. 275-278 - Gulzhahan Oraz, Xiao Luo:
County-level geographic distributions of diabetes in relation to multiple factors in the united states. 279-282 - Nam Tran, Joon Lee
Using multiple sentiment dimensions of nursing notes to predict mortality in the intensive care unit. 283-286 - Yong-Joon Song, Dong-Ho Cho:
A novel estimation algorithm of evolutionary distance based on the word frequency variation of sequence segment. 287-290 - Mark Daniels, Csilla Farkas:
Health data privacy: A case of undesired inferences. 291-294 - Georgia S. Karanasiou
HEARTEN: An integrated mHealth platform for holistic HF management. 295-298 - Gabriella Tognola, Alessandra Murri, Domenico Cuda
Cognitive computing for the automated extraction and meaningful use of health data in narrative medical notes: An application to the clinical management of hearing impaired aged patients. 299-302 - Wee An Ta, Han Leong Goh, Chuen Seng Tan, Yan Sun, Khin Chaw Yu Aung, Zsin Woon Teoh, Kelvin Bryan Tan, Zheng Yi Lau, John Arputhan Abisheganaden, Kheng Hock Lee, Sweet Fun Wong, Wai Leng Chow, Pranav Vinod Kumar, Zi Chao Choong, Xue Yi Ng, Gia Lee Ang, Kien Leong Chan, Jin Shui Lim, Cheng Ooi Low:
Development and implementation of nationwide predictive model for admission prevention: System architecture & machine learning. 303-306 - Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. 307-310 - Viswajith S. Vasudevan
Cardiac function recovery using ejection fraction in the presence of a continuous flow left Ventricular Assist Device. 311-314 - Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz
Towards deep anchor learning. 315-318 - Chen Hao, Sudhakar Sivanesan, Maulik Majmudar, Kuldeep Singh Rajput:
Combinational feature based random forest classification for enhanced bundle branch block beat detection. 319-322 - Peng Su, Xiao-Rong Ding
Long-term blood pressure prediction with deep recurrent neural networks. 323-328 - Kostas M. Tsiouris
A decision support system based on rapid progression rules to enhance baseline evaluation of Parkinson's disease patients. 329-332 - Phuong D. Ngo
Reinforcement-learning optimal control for type-1 diabetes. 333-336 - Eric Vander Putten, Ameer Kambod, Mobeen Kambod:
Deep residual neural networks for automated Basal Cell Carcinoma detection. 337-340 - Boshen Wang, Alan Perez-Rathke
A general method for predicting amino acid residues experiencing hydrogen exchange. 341-344 - Hong-Jun Yoon, Sarah Robinson, James Blair Christian, John X. Qiu, Georgia D. Tourassi:
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension. 345-348 - Setu Shah
Comparison of deep learning based concept representations for biomedical document clustering. 349-352 - Maria Venianaki, Apostolos Karantanas, Eelco de Bree, Thomas G. Maris
Assessment of soft-tissue sarcomas perfusion using data-driven techniques. 353-356 - Jennifer Howcroft, Bruce Wallace, Rafik A. Goubran, Shawn Marshall, Michelle M. Porter
Changes in driving acceleration pattern variability related to cognitive and physical health. 357-360 - Haridimos Kondylakis, Lefteris Koumakis
Implementing a data management infrastructure for big healthcare data. 361-364 - Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange
Deep learning and handcrafted feature based approaches for automatic detection of angiectasia. 365-368 - Zhaoyang Xu, Qianni Zhang
Multi-scale context-aware networks for quantitative assessment of colorectal liver metastases. 369-372 - Marios Spanakis
PDCA: An eHealth service for the management of drug interactions with complementary and alternative medicines. 373-376 - Kevin Matlock, Saugato Rahman Dhruba
An investigation of proteomic data for application in precision medicine. 377-380 - Saman Sargolzaei
Quantification of biological responses as predictors of cognitive outcome after developmental TBI. 381-384 - Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong:
Obesity risk factors ranking using multi-task learning. 385-388 - M. L. Tlachac
CASSIA: An assistant for identifying clinically and statistically significant decreases in antimicrobial susceptibility. 389-392 - Amit Juneja, Michael M. Marefat:
Leveraging blockchain for retraining deep learning architecture in patient-specific arrhythmia classification. 393-397 - Masahiro Honda, Hiroki Tanaka
Detecting suppression of negative emotion by time series change of cerebral blood flow using fNIRS. 398-401 - Ramin Ramezani, Yubin Xiao, Arash Naeim:
Sensing-Fi: Wi-Fi CSI and accelerometer fusion system for fall detection. 402-405 - Giorgos A. Giannakakis
Evaluation of head pose features for stress detection and classification. 406-409 - Ryan S. McGinnis
Wearable sensors and machine learning diagnose anxiety and depression in young children. 410-413 - Aria Khademi, Yasser El-Manzalawy, Orfeu M. Buxton
Toward personalized sleep-wake prediction from actigraphy. 414-417 - Keith Feldman
Leveraging health and wellness platforms to understand childhood obesity: A usability pilot of FitSpace. 418-421 - Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari
Physiological changes over the course of cognitive bias modification for social anxiety. 422-425 - Xiaoliang Wang
Context-aware reinforcement learning-based mobile cloud computing for telemonitoring. 426-429 - Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled:
ARIMA-based motor anomaly detection in schizophrenia inpatients. 430-433 - Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes:
Cluster-based approach to improve affect recognition from passively sensed data. 434-437 - Thomas De Cooman, Carolina Varon, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel:
Comparison and combination of electrocardiogram, electromyogram and accelerometry for tonic-clonic seizure detection in children. 438-441 - Alireza Aliamiri, Yichen Shen:
Deep learning based atrial fibrillation detection using wearable photoplethysmography sensor. 442-445
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last updated on 2024-12-26 00:57 CET by the dblp team
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