This paper is in the following e-collection/theme issue:

Development of Novel Medical Devices and Innovations for Existing Devices (83) Biomedical Engineering Viewpoints (12) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) Precision Medicine (79) New Methods (963) Clinical Information and Decision Making (1434)

Published on in Vol 1, No 1 (2016): Inaugural Issue

A Six-Step Framework on Biomedical Signal Analysis for Tackling Noncommunicable Diseases: Current and Future Perspectives

A Six-Step Framework on Biomedical Signal Analysis for Tackling Noncommunicable Diseases: Current and Future Perspectives

A Six-Step Framework on Biomedical Signal Analysis for Tackling Noncommunicable Diseases: Current and Future Perspectives

Authors of this article:

Mohamed Elgendi1 Author Orcid Image ;   Newton Howard2 Author Orcid Image ;   Nigel Lovell3 Author Orcid Image ;   Andrzej Cichocki4 Author Orcid Image ;   Matt Brearley5 Author Orcid Image ;   Derek Abbott6 Author Orcid Image ;   Ian Adatia7 Author Orcid Image
Article Authors Cited by (18) Tweetations (1) Metrics

Journals

  1. Jiang H, Song Q, Gill B, Balog B, Juarez R, Cruz Y, Damaser M. Electrical stimulation of the pudendal nerve promotes neuroregeneration and functional recovery from stress urinary incontinence in a rat model. American Journal of Physiology-Renal Physiology 2018;315(6):F1555 View
  2. Elgendi M, Al-Ali A, Mohamed A, Ward R. Improving Remote Health Monitoring: A Low-Complexity ECG Compression Approach. Diagnostics 2018;8(1):10 View
  3. Elgendi M, Mohamed A, Ward R. Efficient ECG Compression and QRS Detection for E-Health Applications. Scientific Reports 2017;7(1) View
  4. Lee H, Chung H, Ko H, Lee J. Wearable Multichannel Photoplethysmography Framework for Heart Rate Monitoring During Intensive Exercise. IEEE Sensors Journal 2018;18(7):2983 View
  5. Elgendi M. Less Is More in Biosignal Analysis: Compressed Data Could Open the Door to Faster and Better Diagnosis. Diseases 2018;6(1):18 View
  6. Liang Y, Chen Z, Ward R, Elgendi M. Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification. Biosensors 2018;8(4):101 View
  7. Liang Y, Chen Z, Ward R, Elgendi M. Hypertension Assessment Using Photoplethysmography: A Risk Stratification Approach. Journal of Clinical Medicine 2018;8(1):12 View
  8. Lang M. A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts. Technologies 2018;6(1):26 View
  9. Elgendi M, Fletcher R, Liang Y, Howard N, Lovell N, Abbott D, Lim K, Ward R. The use of photoplethysmography for assessing hypertension. npj Digital Medicine 2019;2(1) View
  10. Elgendi M. TERMA Framework for Biomedical Signal Analysis: An Economic-Inspired Approach. Biosensors 2016;6(4):55 View
  11. Liang Y, Elgendi M, Chen Z, Ward R. An optimal filter for short photoplethysmogram signals. Scientific Data 2018;5(1) View
  12. Liang Y, Chen Z, Ward R, Elgendi M. Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database. Diagnostics 2018;8(3):65 View
  13. Chandran A, Selva Kumar S, Hairi N, Low W, Mustapha F. Non-communicable Disease Surveillance in Malaysia: An Overview of Existing Systems and Priorities Going Forward. Frontiers in Public Health 2021;9 View
  14. Brearley M, Berry R, Hunt A, Pope R. A Systematic Review of Post-Work Core Temperature Cooling Rates Conferred by Passive Rest. Biology 2023;12(5):695 View
  15. Elgendi M, van der Bijl K, Menon C. An Open-Source Graphical User Interface-Embedded Automated Electrocardiogram Quality Assessment: A Balanced Class Representation Approach. Diagnostics 2023;13(22):3479 View
  16. Lin S, Chen W, Lin Y. A Pulse Rate Detection Method for Mouse Application Based on Multi-PPG Sensors. Sensors 2017;17(7):1628 View

Books/Policy Documents

  1. Blaser M, Atkins S, Aikawa E. Tissue-Engineered Vascular Grafts. View
  2. Blaser M, Atkins S, Aikawa E. Tissue-Engineered Vascular Grafts. View