Waveform Similarity Analysis Using Graph Mining for the Optimization of Sensor Positioning in Wearable Seismocardiography-Reference-Cited by-同舟云学术

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Waveform Similarity Analysis Using Graph Mining for the Optimization of Sensor Positioning in Wearable Seismocardiography

Published:2023-10 Issue:10 Volume:70 Page:2788-2798
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Santucci Francesca¹^ORCID,Nobili Martina¹,Presti Daniela Lo²^ORCID,Massaroni Carlo²^ORCID,Setola Roberto¹^ORCID,Schena Emiliano²^ORCID,Oliva Gabriele³^ORCID

Affiliation:

1. Unit of Automatic Control, Universitá Campus Bio-Medico di Roma, Italy

2. Unit of Measurements and Biomedical Instrumentation, Universitá Campus Bio-Medico di Roma, Italy

3. Unit of Automatic Control, Universitá Campus Bio-Medico di Roma, Rome, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10265275/10097577.pdf?arnumber=10097577

Reference31 articles.

1. Big Graph Mining: Frameworks and Techniques

2. A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology

3. Graph mining: A survey of graph mining techniques

4. Seismocardiography on Infants and Kids

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