RespWatch-Reference-Cited by-同舟云学术

RespWatch

Published:2021-05-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Internet-of-Things Design and Implementation
language:
Short-container-title:

Author:

Dai Ruixuan¹,Lu Chenyang¹,Avidan Michael²,Kannampallil Thomas²

Affiliation:

1. Washington University in St. Louis, Computer Science and Engineering, St. Louis, Missouri

2. Washington University in St. Louis, Department of Anesthesiology, St. Louis, Missouri

Funder

Healthcare Innovation Lab and the Institute for Informatics at BJC HealthCare and Washington University School of Medicine.

Division of Clinical and Translational Research of the Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3450268.3453531

Reference55 articles.

1. Android Developers 2020. Inspect energy use with Energy Profiler. Retrieved 2020-06-12 from https://wearos.google.com/#hands-free-help Android Developers 2020. Inspect energy use with Energy Profiler. Retrieved 2020-06-12 from https://wearos.google.com/#hands-free-help

2. From smart to deep: Robust activity recognition on smartwatches using deep learning

3. Optimizing performance of reflectance-based organic Photoplethysmogram (PPG) sensor

4. Daniel J Buysse Charles F Reynolds Timothy H Monk Susan R Berman David J Kupfer etal 1989. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry res 28 2 (1989) 193--213. Daniel J Buysse Charles F Reynolds Timothy H Monk Susan R Berman David J Kupfer et al. 1989. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry res 28 2 (1989) 193--213.

5. Smartwatches

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