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Computer Science

D-Index
46
Citations
7942
World Ranking
6885
National Ranking
3017

Overview

Ervin Sejdic is affiliated with the University of Pittsburgh in the United States and has an extensive publication record in the fields of medicine and health professions. Their work spans various subfields including physiology, cardiology and cardiovascular medicine, speech and hearing, pulmonary and respiratory medicine, and physical therapy, sports therapy, and rehabilitation.

Their research covers a range of topics with a focus on:

  • Dysphagia assessment and management
  • Voice and speech disorders
  • Balance, gait, and falls prevention
  • Tracheal and airway disorders
  • ECG monitoring and analysis
  • Cerebral palsy and movement disorders
  • Esophageal and gastrointestinal pathology

Sejdic has contributed to important publications in various well-known scientific journals. Frequent venues for their research include:

  • Dysphagia
  • Circulation
  • Journal of Electrocardiology
  • Innovation in Aging
  • Age and Ageing

Among recent papers featuring Sejdic's contributions are:

  • "World guidelines for falls prevention and management for older adults: a global initiative," 2022, Age and Ageing
  • "Evaluation of Clinical Practice Guidelines on Fall Prevention and Management for Older Adults," 2021, JAMA Network Open
  • "Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction," 2023, Nature Medicine
  • "Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram," 2020, Nature Communications
  • "New horizons in falls prevention and management for older adults: a global initiative," 2021, Age and Ageing

Sejdic frequently collaborates with other researchers. Notable co-authors include:

  • James L. Coyle
  • Salah S. Al-Zaiti
  • Yassin Khalifa
  • Zeineb Bouzid
  • Nathan T. Riek

Best Publications

  • Time--frequency feature representation using energy concentration: An overview of recent advances

    Ervin Sejdić;Igor Djurović;Jin Jiang

  • Fractional Fourier transform as a signal processing tool: An overview of recent developments

    Ervin Sejdić;Igor Djurović;LJubiša Stanković

  • Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine

    Arthur Gatouillat;Youakim Badr;Bertrand Massot;Ervin Sejdic

  • Radiological images and machine learning: Trends, perspectives, and prospects.

    Zhenwei Zhang;Ervin Sejdić

  • Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

    Salah Al-Zaiti;Lucas Besomi;Zeineb Bouzid;Ziad Faramand

  • A window width optimized S-transform

    Ervin Sejdic;Igor Djurovic;Jin Jiang

  • Adaptive Transcutaneous Power Transfer to Implantable Devices: A State of the Art Review

    Kara N Bocan;Ervin Sejdić

  • An empirical examination of detrended fluctuation analysis for gait data

    Sotirios Damouras;Matthew D. Chang;Ervin Sejdić;Tom Chau

  • Multimedia Signals and Systems

    Srdjan Stankovic;Irena Orovic;Ervin Sejdic

  • Frequency-based window width optimization for S-transform

    Igor Djurović;Ervin Sejdić;Jin Jiang

  • Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.

    Faezeh Movahedi;James L. Coyle;Ervin Sejdic

  • Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals.

    Ervin Sejdić;Irena Orović;Srdjan Stanković

  • Carbon Nanotube Chemiresistor for Wireless pH Sensing

    Pingping Gou;Nadine D. Kraut;Ian M. Feigel;Hao Bai

  • Necessity of noise in physiology and medicine

    Ervin Sejdić;Lewis A. Lipsitz

  • Quantitative Performance Analysis of Scalogram as Instantaneous Frequency Estimator

    E. Sejdic;I. Djurovic;L. Stankovic

  • A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease

    Lejla Gurbeta;Almir Badnjevic;Mirjana Maksimovic;Enisa Omanovic-Miklicanin

  • Effects of liquid stimuli on dual-axis swallowing accelerometry signals in a healthy population.

    Joon Lee;Ervin Sejdić;Catriona M Steele;Catriona M Steele;Tom Chau

  • A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals

    Joshua M. Dudik;Atsuko Kurosu;James L. Coyle;Ervin Sejdić

  • A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing

    Ljubiša Stanković;Ervin Sejdić;Srdjan Stanković;Miloš Daković

  • Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing Activities

    E. Sejdic;C.M. Steele;T. Chau

  • Tetrahydrocannabinol Detection Using Semiconductor-Enriched Single-Walled Carbon Nanotube Chemiresistors.

    Sean I. Hwang;Nicholas G. Franconi;Michael A. Rothfuss;Kara N. Bocan

  • Introduction to Graph Signal Processing

    Ljubiša Stanković;Miloš Daković;Ervin Sejdić

  • Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing

    Srdjan Stankovic;Irena Orovic;Ervin Sejdic

Frequent Co-Authors

Tom Chau
Tom Chau University of Toronto
Ljubisa Stankovic
Ljubisa Stankovic University of Montenegro
Igor Djurovic
Igor Djurovic University of Montenegro
Jin Jiang
Jin Jiang University of Western Ontario
Srdjan Stankovic
Srdjan Stankovic University of Montenegro
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Alexander Star
Alexander Star University of Pittsburgh
Tiago H. Falk
Tiago H. Falk Institut National de la Recherche Scientifique
Douglas L. Rosene
Douglas L. Rosene Boston University
Theodore J. Huppert
Theodore J. Huppert University of Pittsburgh

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