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Case study

Empatica E4 wristband: decoding BLE telemetry

Empatica E4 wristband work reconstructs the device's BLE telemetry flow and provides a local recorder and decoder for accelerometer, skin temperature, electrodermal activity, and raw photoplethysmogram data. It documents GATT services and packet layouts, preserves raw packets, and writes decoded sensor readings to CSV.

Targets
Protocol
Category
Independent reconstruction cases
Relationship
Independent reconstruction project
Sources reviewed
Evidence class
C2 code & docs, no demo or download
Stars
6
Last commit
2026-05-17
Language
Python
License (GitHub)
MIT

GitHub data as of 2026-11-10

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Evidence

Observed
Code and documentation observed; no download method or demo found.
Checked
2026-11-08

How evidence classes are assigned

Requirements & limits

  • Prerequisites: An owned Empatica E4 wristband and Bluetooth are required.
  • Prerequisites: Python 3.11 or newer is required; the launcher installs bleak and pyusb on first run.
  • Limits: The PPG packing is tentative, and its original packet bytes are preserved for later decoding.
  • License: MIT license.

Cite

BibTeX

@misc{empatica-e4-local-case,
  title = {{Empatica E4 wristband: decoding BLE telemetry}},
  howpublished = {\url{https://github.com/Vijtus/empatica-e4-local}},
  url = {https://github.com/Vijtus/empatica-e4-local},
  urldate = {2026-11-08},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/empatica-e4-local-case/}}
}

Plain text

Empatica E4 wristband: decoding BLE telemetry. https://github.com/Vijtus/empatica-e4-local (accessed 2026-11-08). Awesome REA entry: https://awesomerea.org/resources/empatica-e4-local-case/

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About this entry

The description was reviewed against primary sources.

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Primary sources

  1. README.md GitHub · Vijtus/empatica-e4-local · Revision 1c7a2a0
  2. help/03_how_we_decoded_the_wristband.md GitHub · Vijtus/empatica-e4-local · Revision 1c7a2a0

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