Reshaping engineered clinical decision support systems: Biomedical signal processing and artificial intelligence in health care

被引：0

作者：

Perez A. ^{[1
]}

机构：

[1] University of Waterloo, Waterloo, N2L3G1, ON

来源：

IEEE Potentials | 2023年 / 42卷 / 04期

关键词：

D O I：

10.1109/MPOT.2023.3284207

中图分类号：

学科分类号：

摘要：

The continuous innovation and development of sensing technologies, image processing techniques, and deep learning frameworks have caught the attention of many researchers, who are developing cutting-edge systems for medical applications. This article talks about the recent usage of camera-based biomedical signal processing and the basic concepts you should understand or reinforce if you are planning to combine engineering hardware and software for the analysis of biosignals. © 1988-2012 IEEE.

引用

页码：17 / 23

页数：6

共 11 条

[1]

Enderle J.D., Bronzino J.D., Introduction to Biomedical Engineering, (2005)

[2]

Wasylewicz A.T.M., Scheepers-Hoeks A.M.J.W., Clinical decision support systems, Fundamentals of Clinical Data Science, (2018)

[3]

Puttagunta M., Ravi S., Medical image analysis based on deep learning approach, Multimedia Tools, 80, 16, (2021)

[4]

Davenport T., Kalakota R., The potential for artificial intelligence in healthcare, Future Healthcare J, 6, 2, pp. 94-98, (2019)

[5]

Montagnon E., Et al., Deep learning workflow in radiology: A primer, Insights Imag, 11, 1, (2020)

[6]

Islam Z.Z., Tazwar S.M., Islam M.Z., Serikawa S., Ahad M.A.R., Automatic fall detection system of unsupervised elderly people using smartphone, Proc. 5th IIAE Int. Conf. Intell. Syst. Image Process, pp. 418-424, (2017)

[7]

Chaudhry R., Ravichandran A., Hager G., Vidal R., Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions, Proc. IEEE Conf. Comput. Vision Pattern Recognit, pp. 1932-1939, (2009)

[8]

Wieringa F.P., Mastik F., Der Van Steen A.F.W., Contactless multiple wavelength photoplethysmographic imaging: A first step toward 'SpO2 camera' technology, Ann. Biomed. Eng, 33, 8, pp. 1034-1041, (2005)

[9]

Ahmedt-Aristizabal D., Armin M.A., Denman S., Fookes C., Petersson L., Graph-based deep learning for medical diagnosis and analysis: Past, present and future, Sensors, 21, 14, (2021)

[10]

Reddy S., Artificial Intelligence : Applications in Healthcare Delivery

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