EDA-based Data Stream Pattern Analysis and Peak Detection Algorithm for Substance Users-Reference-Cited by-同舟云学术

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EDA-based Data Stream Pattern Analysis and Peak Detection Algorithm for Substance Users

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
language:
Short-container-title:

Author:

Bruendl Stefan A¹,Fang Hua¹,Wang Honggang²,Boyer Edward W.³

Affiliation:

1. University of Massachusetts Dartmouth,Computer and Information Science,North Dartmouth,MA,USA

2. University of Massachusetts Dartmouth,Electrical and Computer Engineering,North Dartmouth,MA,USA

3. Harvard Medical School,Emergency Medicine, Brigham and Women's Hospital,Boston,MA,USA

Funder

NIH

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9697906/9697913/09697952.pdf?arnumber=9697952

Reference25 articles.

1. Making the Switch to 5G and 60 GHz in mHealth Applications Using USRP Hardware

2. A New Emulation Platform for Real-time Machine Learning in Substance Use Data Streams

3. A new mining method to detect real time substance use events from wearable biosensor data stream

4. Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection

5. Preliminary Efforts Directed Toward the Detection of Craving of Illicit Substances: The iHeal Project

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