Smart Watch for Healthcare
Explore the docs »
View Demo
·
Report Bug
·
Request Feature
The H-Watch is a fully open-sourde wearable long-lasting smart monitoring platform for health monitoring and tracking. Thanks to the integrated state-of-the-art NB-IoT cellular technology, it provides direct and secure cloud connectivity. It is based on widely available off-the-shelf components; however, it is designed with low-power and on-board intelligence in mind. Experimentalresults demonstrated only 5.9 mW of average power consumption, leading to a lifetime of 9 days on a small watch battery wothout, and up to 20 days with the solarenergy harvester.
The H-Watch is a highly integrated multi-sensor wearable platform which is built of the key components, listed below:
The H-Watchs housing, as well as its energy-saving memory LCD display, was taken from the Matrix Power Watch series 1.
The H-Watchs printed circuit board (PCB) is built of 6 Layers with a total board thichness of only 0.83mm. Further informations about the PCB can be found here:
File | Content |
---|---|
H-Watch_schematics.pdf | Schematics of the H-Watch. |
H-Watch_connectors.pdf | Description of the position and functionality of all connectors and test pionts. |
H-Watch_assembly.pdf | Assembly drawings of the top- and bottom-side of the PCB. |
H-Watch_manufacturing.pdf | Detailed fabrication information about the exansion board; thickness, dimensions and defined layer stack. |
H-Watch_layers.pdf | Routing overview of all six copper layers. |
H-Watch_3D.pdf | 3D model of the H-Watches hardware |
H-Watch_complete_documentation.pdf | The complete documentation contains all files above, excluding the 3D-PDF |
The latest Altium files of of the PCB can be found here
The authors recognise and thank the European Open Science Cloud (EOSC) for financial support under COVID-19 research to open access grant agreements. EOSCsecretariat.eu has received funding from the European Union's Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.
If you use H-Watch in an academic or industrial context, please cite the following publications:
@INPROCEEDINGS{20.500.11850/476189,
copyright = {Creative Commons Attribution 4.0 International},
year = {2021-05-22},
author = {Polonelli, Tommaso and Schulthess, Lukas and Mayer, Philipp and Magno, Michele and Benini, Luca},
size = {6 p. submitted version},
keywords = {wearable device; Covid-19; smart sensing; low power design; Tiny Machine Learning; wireless sensor networks},
language = {en},
DOI = {10.3929/ethz-b-000476189},
title = {H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing.},
Note = {IEEE International Symposium on Circuits and Systems (ISCAS 2021); Conference Location: online; Conference Date: May 22–28}
}