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ORCIDErvin Sejdic
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- award (2016): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2025
[j74]Kechen Shu, Shitong Mao, Zhenwei Zhang, James L. Coyle, Ervin Sejdic:
Recent advancements and future directions in automatic swallowing analysis via videofluoroscopy: A review. Comput. Methods Programs Biomed. 259: 108505 (2025)- [j73]Ayman Anwar, Yassin Khalifa, James L. Coyle, Ervin Sejdic
:
Transformers in biosignal analysis: A review. Inf. Fusion 114: 102697 (2025) - 2024
- [j72]Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic:
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation. Artif. Intell. Medicine 154: 102921 (2024) - [j71]Anisha Suri, Zachary L. Hubbard, Jessie VanSwearingen, Gelsy Torres-Oviedo, Jennifer S. Brach, Mark S. Redfern, Ervin Sejdic, Andrea L. Rosso:
Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals. Comput. Methods Programs Biomed. 244: 108001 (2024) - [j70]Wuqi Li, Shitong Mao, Amanda S. Mahoney, Sandra Petkovic, James L. Coyle, Ervin Sejdic:
Deep learning models for bolus segmentation in videofluoroscopic swallow studies. J. Real Time Image Process. 21(1): 18 (2024) - [j69]Anisha Suri, Jessie VanSwearingen, Emma M. Baillargeon, Breanna M. Crane, Kyle D. Moored, Michelle C. Carlson, Pamela M. Dunlap, Patrick T. Donahue, Mark S. Redfern, Jennifer S. Brach, Ervin Sejdic, Andrea L. Rosso:
Association of Gait Quality With Daily-Life Mobility: An Actigraphy and Global Positioning System Based Analysis in Older Adults. IEEE Trans. Biomed. Eng. 71(1): 130-138 (2024) - [i6]Nathan T. Riek, Murat Akçakaya, Zeineb Bouzid, Tanmay Gokhale, Stephanie Helman, Karina Kraevsky-Philips, Rui Qi Ji, Ervin Sejdic, Jessica K. Zègre-Hemsey, Christian Martin-Gill, Clifton W. Callaway, Samir Saba, Salah Al-Zaiti:
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction. CoRR abs/2405.09567 (2024) - 2023
- [j68]Nevena Radovic, Veselin N. Ivanovic, Igor Djurovic, Marko Simeunovic, Ervin Sejdic:
A Step Toward Real-Time Time-Frequency Analyses with Varying Time-Frequency Resolutions: Hardware Implementation of an Adaptive S-transform. Circuits Syst. Signal Process. 42(2): 853-874 (2023) - [j67]Kayla Bohlke, Xiaonan Zhu, Patrick J. Sparto, Mark S. Redfern, Caterina Rosano, Ervin Sejdic, Andrea L. Rosso:
Correction: Bohlke et al. The Effect of a Verbal Cognitive Task on Postural Sway Does Not Persist When the Task Is Over. Sensors 2021, 21, 8428. Sensors 23(16): 7218 (2023) - [j66]Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. IEEE J. Biomed. Health Informatics 27(2): 956-967 (2023) - [j65]Shitong Mao, Ervin Sejdic:
A Review of Recurrent Neural Network-Based Methods in Computational Physiology. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6983-7003 (2023) - 2022
- [j64]Yunus Emre Çelik, Samuel Stuart, Wai Lok Woo, Ervin Sejdic, Alan Godfrey:
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment. Inf. Fusion 78: 57-70 (2022) - [j63]Kechen Shu, Shitong Mao, James L. Coyle, Ervin Sejdic:
Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 26(3): 1263-1272 (2022) - [j62]Sumeet Kalia, Olli Saarela, Tao Chen, Braden O'Neill, Christopher Meaney, Jessica L. Gronsbell, Ervin Sejdic, Michael D. Escobar, Babak Aliarzadeh, Rahim Moineddin, Conrad Pow, Frank M. Sullivan, Michelle Greiver:
Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort. IEEE J. Biomed. Health Informatics 26(8): 4197-4206 (2022) - [c32]Stephanie O. Frisch, Holli DeVon, Jessica Zegre-Hemsey, Harry Hochheiser, Ervin Sejdic:
Emergency Severity Index Scores Have Different Emergency Department Length of Stays. AMIA 2022 - [c31]Mohamed A. Abdelaziz, Mohamed K. Galloul, Mohamed A. Seyam, Ahmed M. Mohamed, Tamer Basha, Ervin Sejdic, Yassin Khalifa:
AI-Powered Toolkit for Automated Swallowing Kinematics Analysis in X-Ray Videofluoroscopy. NILES 2022: 71-74 - 2021
- [j61]Pritika Dasgupta, James Alexander Hughes, Mark Daley, Ervin Sejdic:
Is Human Walking a Network Medicine Problem? An Analysis Using Symbolic Regression Models with Genetic Programming. Comput. Methods Programs Biomed. 206: 106104 (2021) - [j60]Shitong Mao, Aliaa Sabry, Yassin Khalifa, James L. Coyle, Ervin Sejdic:
Estimation of laryngeal closure duration during swallowing without invasive X-rays. Future Gener. Comput. Syst. 115: 610-618 (2021) - [j59]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals. Inf. Fusion 69: 52-72 (2021) - [j58]Zhenwei Zhang, Shitong Mao, James L. Coyle, Ervin Sejdic:
Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning. Medical Image Anal. 74: 102218 (2021) - [j57]Kayla Bohlke, Xiaonan Zhu, Patrick J. Sparto, Mark S. Redfern, Caterina Rosano, Ervin Sejdic, Andrea L. Rosso:
The Effect of a Verbal Cognitive Task on Postural Sway Does Not Persist When the Task Is Over. Sensors 21(24): 8428 (2021) - [j56]Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. IEEE J. Biomed. Health Informatics 25(2): 493-503 (2021) - [c30]Stephanie O. Frisch, Zeineb Bouzid, Jessica Zegre-Hemsey, Holli DeVon, Harry Hochheiser, Ervin Sejdic:
Symptom clustering of patients with suspected acute cornary syndrome at emergency department triage. AMIA 2021 - 2020
- [j55]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-frequency graph signal processing: A comprehensive review. Digit. Signal Process. 107: 102802 (2020) - [c29]Handenur Caliskan, Amanda S. Mahoney, James L. Coyle, Ervin Sejdic:
Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN. EMBC 2020: 2173-2177 - [i5]Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. CoRR abs/2010.04541 (2020) - [i4]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals. CoRR abs/2012.06104 (2020)
2010 – 2019
- 2019
- [j54]Zhenwei Zhang, Ervin Sejdic:
Radiological images and machine learning: Trends, perspectives, and prospects. Comput. Biol. Medicine 108: 354-370 (2019) - [j53]Ljubisa Stankovic, Ervin Sejdic, Srdjan Stankovic, Milos Dakovic, Irena Orovic:
A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing. Circuits Syst. Signal Process. 38(3): 1206-1263 (2019) - [j52]Farah Masood, Hussein A. Abdullah, Nitin Seth, Heather A. Simmons, Kevin Brunner, Ervin Sejdic, Dane R. Schalk, William A. Graham, Amber F. Hoggatt, Douglas L. Rosene, John B. Sledge, Shanker Nesathurai:
Neurophysiological Characterization of a Non-Human Primate Model of Traumatic Spinal Cord Injury Utilizing Fine-Wire EMG Electrodes. Sensors 19(15): 3303 (2019) - [j51]Ervin Sejdic, Georgia A. Malandraki, James L. Coyle:
Computational Deglutition: Using Signal- and Image-Processing Methods to Understand Swallowing and Associated Disorders [Life Sciences]. IEEE Signal Process. Mag. 36(1): 138-146 (2019) - [j50]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilia Kisil, Ervin Sejdic, Anthony G. Constantinides:
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]. IEEE Signal Process. Mag. 36(6): 133-145 (2019) - [c28]Pritika Dasgupta, Ervin Sejdic:
Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review. AMIA 2019 - [c27]Caroline Yu, Yassin Khalifa, Ervin Sejdic:
Silent Aspiration Detection in High Resolution Cervical Auscultations. BHI 2019: 1-4 - [c26]Elise Dagois, Aya Khalaf, Ervin Sejdic, Murat Akçakaya:
Bhattacharyya Distance-based Transfer Learning for a Hybrid EEG-FTCD Brain-computer Interface. ICASSP 2019: 3082-3086 - [c25]Aya Khalaf, Ervin Sejdic, Murat Akçakaya:
Mutual Information for Transfer Learning in SSVEP Hybrid EEG-fTCD Brain-Computer Interfaces. NER 2019: 941-944 - [i3]Zhenwei Zhang, Ervin Sejdic:
Radiological images and machine learning: trends, perspectives, and prospects. CoRR abs/1903.11726 (2019) - [i2]Yassin Khalifa, Justin Hawks, Ervin Sejdic:
Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems. CoRR abs/1905.12135 (2019) - [i1]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-Frequency Graph Signal Processing. CoRR abs/1907.03471 (2019) - 2018
- [j49]Ervin Sejdic, Irena Orovic, Srdjan Stankovic:
Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals. Digit. Signal Process. 77: 22-35 (2018) - [j48]Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Zhi-Hong Mao, Mingui Sun, Ervin Sejdic:
Deep learning for classification of normal swallows in adults. Neurocomputing 285: 1-9 (2018) - [j47]Arthur Gatouillat, Youakim Badr, Bertrand Massot, Ervin Sejdic:
Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine. IEEE Internet Things J. 5(5): 3810-3822 (2018) - [j46]Lejla Gurbeta, Almir Badnjevic, Mirjana Maksimovic, Enisa Omanovic-Miklicanin, Ervin Sejdic:
A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease. J. Am. Medical Informatics Assoc. 25(9): 1213-1217 (2018) - [j45]Salah Al-Zaiti, Ervin Sejdic, Jan Nemec, Clifton Callaway, Prem Soman, Robert L. Lux:
Spatial indices of repolarization correlate with non-ST elevation myocardial ischemia in patients with chest pain. Medical Biol. Eng. Comput. 56(1): 1-12 (2018) - [j44]Ervin Sejdic, Irena Orovic, Srdjan Stankovic:
A software companion for compressively sensed time-frequency processing of sparse nonstationary signals. SoftwareX 8: 9-10 (2018) - [j43]Ljubisa Stankovic, Ervin Sejdic, Milos Dakovic:
Vertex-Frequency Energy Distributions. IEEE Signal Process. Lett. 25(3): 358-362 (2018) - [j42]Ljubisa Stankovic, Ervin Sejdic, Milos Dakovic:
Reduced Interference Vertex-Frequency Distributions. IEEE Signal Process. Lett. 25(9): 1393-1397 (2018) - [j41]Michael A. Rothfuss, Nicholas G. Franconi, Alexander Star, Murat Akçakaya, Michael L. Gimbel, Ervin Sejdic:
Automatic Early-Onset Free Flap Failure Detection for Implantable Biomedical Devices. IEEE Trans. Biomed. Eng. 65(10): 2290-2297 (2018) - [j40]Faezeh Movahedi, James L. Coyle, Ervin Sejdic:
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks. IEEE J. Biomed. Health Informatics 22(3): 642-652 (2018) - [c24]Pritika Dasgupta, Ervin Sejdic:
Cognitive Load During Walking Can Be Predicted from Gait Measurements with High Accuracy. AMIA 2018 - [c23]Arthur Gatouillat, Bertrand Massot, Youakim Badr, Ervin Sejdic, Claudine Géhin:
Building IoT-Enabled Wearable Medical Devices: An Application to a Wearable, Multiparametric, Cardiorespiratory Sensor. BIODEVICES 2018: 109-118 - [c22]Arthur Gatouillat, Bertrand Massot, Youakim Badr, Ervin Sejdic, Claudine Géhin:
Evaluation of a real-time low-power cardiorespiratory sensor for the IoT. EMBC 2018: 5382-5385 - 2017
- [j39]Zhenwei Zhang, Jessie VanSwearingen, Jennifer S. Brach, Subashan Perera, Ervin Sejdic:
Most suitable mother wavelet for the analysis of fractal properties of stride interval time series via the average wavelet coefficient method. Comput. Biol. Medicine 80: 175-184 (2017) - [j38]Arthur Gatouillat, Antoine Dumortier, Subashan Perera, Youakim Badr, Claudine Géhin, Ervin Sejdic:
Analysis of the pen pressure and grip force signal during basic drawing tasks: The timing and speed changes impact drawing characteristics. Comput. Biol. Medicine 87: 124-131 (2017) - [j37]Faezeh Movahedi, Atsuko Kurosu, James L. Coyle, Subashan Perera, Ervin Sejdic:
A comparison between swallowing sounds and vibrations in patients with dysphagia. Comput. Methods Programs Biomed. 144: 179-187 (2017) - [j36]Lejla Gurbeta, Zijad Dzemic, Tamer Bego, Ervin Sejdic, Almir Badnjevic:
Testing of Anesthesia Machines and Defibrillators in Healthcare Institutions. J. Medical Syst. 41(9): 133 (2017) - [j35]Iva Jestrovic, James L. Coyle, Ervin Sejdic:
A fast algorithm for vertex-frequency representations of signals on graphs. Signal Process. 131: 483-491 (2017) - [j34]Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic:
Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes]. IEEE Signal Process. Mag. 34(4): 176-182 (2017) - [c21]Matthew Sybeldon, Lukas Schmit, Ervin Sejdic, Murat Akçakaya:
Transfer learning for EEG based BCI using LEARN++.NSE and mutual information. ICASSP 2017: 2632-2636 - [c20]Milos Dakovic, Ljubisa Stankovic, Ervin Sejdic:
Windowing methods for graph signal localization. DSP 2017: 1-5 - [c19]Yassin Khalifa, Zhenwei Zhang, Ervin Sejdic:
Sparse recovery of time-frequency representations via recurrent neural networks. DSP 2017: 1-5 - [c18]Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac, Ervin Sejdic, Tomislav B. Sekara:
A resistive circuits analysis using graph spectral decomposition. MECO 2017: 1-4 - [c17]Ervin Sejdic:
Can we use big data to understand functional changes in swallowing, gait and handwriting? MECO 2017: 1 - 2016
- [j33]Héloïse Bleton, Subashan Perera, Ervin Sejdic:
Cognitive tasks and cerebral blood flow through anterior cerebral arteries: a study via functional transcranial Doppler ultrasound recordings. BMC Medical Imaging 16: 22 (2016) - [j32]Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Mingui Sun, Ervin Sejdic:
A matched dual-tree wavelet denoising for tri-axial swallowing vibrations. Biomed. Signal Process. Control. 27: 112-121 (2016) - [j31]Antoine Dumortier, Ellen Beckjord, Saul Shiffman, Ervin Sejdic:
Classifying smoking urges via machine learning. Comput. Methods Programs Biomed. 137: 203-213 (2016) - [j30]Kara Bocan, Ervin Sejdic:
Adaptive Transcutaneous Power Transfer to Implantable Devices: A State of the Art Review. Sensors 16(3): 393 (2016) - [c16]Aya Khalaf, Matthew Sybeldon, Ervin Sejdic, Murat Akçakaya:
An EEG and fTCD based BCI for control. ACSSC 2016: 1285-1289 - [c15]Etienne Zahnd, Jennifer S. Brach, Subashan Perera, Ervin Sejdic:
Prediction of stride interval time series. SAM 2016: 1-5 - [c14]Kara Bocan, Ervin Sejdic:
Transmission mechanisms with variable tissue properties in a paired electrode system for transcutaneous power. ISCAS 2016: 2739-2742 - 2015
- [j29]Joshua M. Dudik, Atsuko Kurosu, James L. Coyle, Ervin Sejdic:
A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals. Comput. Biol. Medicine 59: 10-18 (2015) - [j28]Alexandre Millecamps, Kristin A. Lowry, Jennifer S. Brach, Subashan Perera, Mark S. Redfern, Ervin Sejdic:
Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals. Comput. Biol. Medicine 62: 164-174 (2015) - [j27]Ervin Sejdic, Alexandre Millecamps, J. Teoli, Michael A. Rothfuss, Nicholas G. Franconi, Subashan Perera, Alex K. Jones, Jennifer S. Brach, Marlin H. Mickle:
Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor. Comput. Methods Programs Biomed. 122(3): 450-461 (2015) - [j26]Leonid Mats, Marlin H. Mickle, Ziqun Zhou, Joshua R. Stachel, Kara Bocan, Nicholas G. Franconi, Michael A. Rothfuss, Lee Berger, Tim Butler, Chris Ubinger, Scott Lauer, Vyasa Sai, Ervin Sejdic:
A Paradigm Shift in Passive Radio Frequency Identification Tag Development and Manufacturing Flexibility to Provide Active Tag Functionality. J. Low Power Electron. 11(3): 323-332 (2015) - [j25]Ervin Sejdic:
Education: Gear students up for big medical data. Nat. 518(7540): 483 (2015) - [j24]Joshua M. Dudik, Iva Jestrovic, Bo Luan, James L. Coyle, Ervin Sejdic:
Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds. IEEE Trans. Biomed. Eng. 62(10): 2456-2464 (2015) - [j23]Joshua M. Dudik, James L. Coyle, Ervin Sejdic:
Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques. IEEE Trans. Hum. Mach. Syst. 45(4): 465-477 (2015) - [c13]Azime Can-Cimino, Luis F. Chaparro, Ervin Sejdic:
Discrete prolate spheroidal sequence based filter banks for the analysis of nonstationary signals. CAMSAP 2015: 77-80 - 2014
- [j22]Ervin Sejdic, Michael A. Rothfuss, Michael L. Gimbel, Marlin H. Mickle:
Comparative analysis of compressive sensing approaches for recovery of missing samples in implantable wireless Doppler device. IET Signal Process. 8(3): 230-238 (2014) - [j21]Azime Can-Cimino, Ervin Sejdic, Luis F. Chaparro:
Asynchronous processing of sparse signals. IET Signal Process. 8(3): 257-266 (2014) - [j20]Ervin Sejdic:
Medicine: Adapt current tools for handling big data. Nat. 507(7492): 306 (2014) - 2013
- [j19]Ervin Sejdic, Briar Findlay, Celeste Merey, Tom Chau:
The effects of listening to music or viewing television on human gait. Comput. Biol. Medicine 43(10): 1497-1501 (2013) - [j18]Iva Jestrovic, Joshua M. Dudik, Bo Luan, James L. Coyle, Ervin Sejdic:
Baseline characteristics of cervical auscultation signals during various head maneuvers. Comput. Biol. Medicine 43(12): 2014-2020 (2013) - [j17]Ervin Sejdic, Lewis A. Lipsitz:
Necessity of noise in physiology and medicine. Comput. Methods Programs Biomed. 111(2): 459-470 (2013) - [j16]Luis F. Chaparro, Ervin Sejdic, Azime Can, Osama A. S. Alkishriwo, Seda Senay, Aydin Akan:
Asynchronous Representation and Processing of Nonstationary Signals : A Time-Frequency Framework. IEEE Signal Process. Mag. 30(6): 42-52 (2013) - [j15]Ervin Sejdic, Catriona M. Steele, Tom Chau:
Classification of Penetration-Aspiration Versus Healthy Swallows Using Dual-Axis Swallowing Accelerometry Signals in Dysphagic Subjects. IEEE Trans. Biomed. Eng. 60(7): 1859-1866 (2013) - [c12]Ervin Sejdic, Luis F. Chaparro:
Time-frequency representations based on compressive samples. EUSIPCO 2013: 1-4 - [c11]Ervin Sejdic, Luis F. Chaparro:
A compressive sampling approach for brain-machine interfaces based on transcranial Doppler sonography: A case study of resting-state maximal cerebral blood velocity signals. GlobalSIP 2013: 13-16 - [c10]Joshua R. Stachel, Ervin Sejdic, Ajay Ogirala, Marlin H. Mickle:
The impact of the internet of Things on implanted medical devices including pacemakers, and ICDs. I2MTC 2013: 839-844 - [c9]Xiaoyu Liu, Joshua R. Stachel, Ervin Sejdic, Marlin H. Mickle, J. Lee Berger:
The UHF Gen 2 RFID System for transcutaenous operation for orthopedic implants. I2MTC 2013: 1620-1623 - 2012
- [b1]Srdjan Stankovic, Irena Orovic, Ervin Sejdic:
Multimedia Signals and Systems. Springer 2012, ISBN 978-1-4614-4207-3, pp. 1-344 - [j14]Ervin Sejdic, Azime Can, Luis F. Chaparro, Catriona M. Steele, Tom Chau:
Compressive Sampling of Swallowing Accelerometry Signals Using Time-Frequency Dictionaries Based on Modulated Discrete Prolate Spheroidal Sequences. EURASIP J. Adv. Signal Process. 2012: 101 (2012) - [j13]Matija Milosevic, Kristiina M. Valter McConville, Ervin Sejdic, Kei Masani, Matthew J. Kyan, Milos R. Popovic:
Visualization of Trunk Muscle Synergies During Sitting Perturbations Using Self-Organizing Maps (SOM). IEEE Trans. Biomed. Eng. 59(9): 2516-2523 (2012) - [c8]Azime Can, Ervin Sejdic, Luis F. Chaparro:
Asynchronous sampling and reconstruction of sparse signals. EUSIPCO 2012: 854-858 - [c7]Irena Orovic, Andjela Draganic, Srdjan Stankovic, Ervin Sejdic:
A unified approach for the estimation of instantaneous frequency and its derivatives for non-stationary signals analysis. ISSPA 2012: 1130-1134 - [c6]Azime Can, Ervin Sejdic, Osama A. S. Alkishriwo, Luis F. Chaparro:
Compressive asynchronous decomposition of heart sounds. SSP 2012: 736-739 - 2011
- [j12]Ervin Sejdic, Catriona M. Steele, Tom Chau:
Scaling analysis of baseline dual-axis cervical accelerometry signals. Comput. Methods Programs Biomed. 103(3): 113-120 (2011) - [j11]Ervin Sejdic, Igor Djurovic, Ljubisa Stankovic:
Fractional Fourier transform as a signal processing tool: An overview of recent developments. Signal Process. 91(6): 1351-1369 (2011) - [j10]Soosan Beheshti, Masoud Hashemi, Ervin Sejdic, Tom Chau:
Mean Square Error Estimation in Thresholding. IEEE Signal Process. Lett. 18(2): 103-106 (2011) - 2010
- [j9]Ervin Sejdic, Catriona M. Steele, Tom Chau:
Understanding the statistical persistence of dual-axis swallowing accelerometry signals. Comput. Biol. Medicine 40(11-12): 839-844 (2010) - [j8]Irena Orovic, Srdjan Stankovic, Tom Chau, Catriona M. Steele, Ervin Sejdic:
Time-Frequency Analysis and Hermite Projection Method Applied to Swallowing Accelerometry Signals. EURASIP J. Adv. Signal Process. 2010 (2010) - [j7]Sotirios Damouras, Ervin Sejdic, Catriona M. Steele, Tom Chau:
An online swallow detection algorithm based on the quadratic variation of dual-axis accelerometry. IEEE Trans. Signal Process. 58(6): 3352-3359 (2010)
2000 – 2009
- 2009
- [j6]Ervin Sejdic, Igor Djurovic, Jin Jiang:
Time-frequency feature representation using energy concentration: An overview of recent advances. Digit. Signal Process. 19(1): 153-183 (2009) - [j5]Ervin Sejdic, Catriona M. Steele, Tom Chau:
Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing Activities. IEEE Trans. Biomed. Eng. 56(4): 1090-1097 (2009) - [c5]Ervin Sejdic, Umut Ozertem, Igor Djurovic, Deniz Erdogmus:
A new approach for the reassignment of time-frequency representations. ICASSP 2009: 2997-3000 - 2008
- [j4]Ervin Sejdic, Igor Djurovic, Jin Jiang:
A Window Width Optimized S-Transform. EURASIP J. Adv. Signal Process. 2008 (2008) - [j3]Ljubisa Stankovic, Milos Dakovic, Jin Jiang, Ervin Sejdic:
Instantaneous Frequency Estimation Using the -Transform. IEEE Signal Process. Lett. 15: 309-312 (2008) - [j2]Ervin Sejdic, Igor Djurovic, Ljubisa Stankovic:
Quantitative Performance Analysis of Scalogram as Instantaneous Frequency Estimator. IEEE Trans. Signal Process. 56(8-2): 3837-3845 (2008) - [c4]Ervin Sejdic, Marco Luccini, Serguei Primak, Kareem E. Baddour, Tricia J. Willink:
Channel estimation using DPSS based frames. ICASSP 2008: 2849-2852 - 2007
- [j1]Ervin Sejdic, Jin Jiang:
Selective Regional Correlation for Pattern Recognition. IEEE Trans. Syst. Man Cybern. Part A 37(1): 82-93 (2007) - [c3]Ervin Sejdic, Predrag Rakovic, Milos Dakovic, Ljubisa Stankovic:
An algorithm for decomposition of heart sounds based on S-method. EUSIPCO 2007: 2484-2488 - [c2]Ervin Sejdic, Igor Djurovic, Jin Jiang:
S-Transform with Frequency Dependent Kaiser Window. ICASSP (3) 2007: 1165-1168 - 2004
- [c1]Ervin Sejdic, Jin Jiang:
Comparative study of three time-frequency representations with applications to a novel correlation method. ICASSP (2) 2004: 633-636
Coauthor Index
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last updated on 2024-12-05 20:41 CET by the dblp team
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
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