Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement-Reference-Cited by-同舟云学术

Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Gangadharan Kiirthanaa¹^ORCID,Zhang Qingxue²^ORCID

Affiliation:

1. Department of Electrical and Engineering, Purdue University School of Engineering and Technology, Indianapolis, IN, USA

2. Department of Biomedical Engineering and the Department of Electrical and Computer Engineering, Purdue University School of Engineering and Technology, Indianapolis, IN, USA

Funder

USA NSF CAREER

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://ieeexplore.ieee.org/ielam/19/10012124/10098108-aam.pdf

Reference40 articles.

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2. Investigation of Kronecker-Based Recovery of Compressed ECG Signal

3. Improving the Accuracy of Human Body Orientation Estimation With Wearable IMU Sensors

4. Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

5. Random forests based recognition of human activities and postural transitions on smartphone

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