Open source LISA (Living-lab Integrated Sensing Architecture) platform
Authors
Description
Main features
LISA is an open-source system for time-aligned acquisition of IP video streams and Zigbee / MQTT-based sensor data in both, controlled research environments (living labs) and home environments.
It enables reproducible session workflows, structured metadata, data curation and export of synchronized datasets for further analysis.
The LISA platform is used in the Just Move I+D research project. The Just Move! project included in the spanish national call for R&D projects “Generation of Knowledge 2022" (“Just Move! Early detection of MCI through the analysis of human movement in everyday life", ref: PID2022-142388OA-I00) funded by MCIN/AEI/10.13039/501100011033 and “European Union NextGenerationEU/PRTR".
eeglib: A library with tools and functions for EEG signal analysis
Authors
Description
The module eeglib is a library for python 3.4+ that aims to be a set of tools to analyse EEG signals. It defines some data structures as well as some processing in order to make easier to work with EEG data.
Main features
- Different types of processings (FFT, Averaged amplitude for each band, Synchronization Likelihood, Petrosian and Higuchi Fractal Dimensions, Hjorth Parameters, Detrended Fluctuation Analysis, Multiscale Sample Entropy, Lempel-Ziv Complexity, Cross Correlation Coefficient)
- Load data from CSV files, Works with windows & Flexible to use