Pinned Repositories
3D-printed-directly-conductive-EEG-electrode-models
3D printed directly conductive and flexible EEG electrode models
3d_printed_eeg_electrodes
Autoencoder
Autoencoder Deep Learning model for EEG artifact removal on computers and Android smartphone
CNN_on_Arduino_Nano
Edge-implementation-for-HAR
This is a project regarding edge implementation for human activity recognition (HAR)
Eleanor-PHD-EEG
MATLAB code, written by Dr Alex Casson and PhD student Eleanor Trimble, to synchronise and analyse EEG and eye-tracking data in a consumer colour priming study
LSTM-HAR
An LSTM designed for Human Activity Recognition using Tensorflow 2 on Python 3. LSTM also converted for use on an Android App.
Modified_Autoencoder4_challenge
uom_beamer_template
Beamer template for LaTeX based presentations from the University of Manchester
Wearable_Light_Sensor_Public
Non-invasive bioelectronics lab at the University of Manchester's Repositories
Non-Invasive-Bioelectronics-Lab/3d_printed_eeg_electrodes
Non-Invasive-Bioelectronics-Lab/3D-printed-directly-conductive-EEG-electrode-models
3D printed directly conductive and flexible EEG electrode models
Non-Invasive-Bioelectronics-Lab/Wearable_Light_Sensor_Public
Non-Invasive-Bioelectronics-Lab/Autoencoder
Autoencoder Deep Learning model for EEG artifact removal on computers and Android smartphone
Non-Invasive-Bioelectronics-Lab/CNN_on_Arduino_Nano
Non-Invasive-Bioelectronics-Lab/Eleanor-PHD-EEG
MATLAB code, written by Dr Alex Casson and PhD student Eleanor Trimble, to synchronise and analyse EEG and eye-tracking data in a consumer colour priming study
Non-Invasive-Bioelectronics-Lab/LSTM-HAR
An LSTM designed for Human Activity Recognition using Tensorflow 2 on Python 3. LSTM also converted for use on an Android App.
Non-Invasive-Bioelectronics-Lab/Edge-implementation-for-HAR
This is a project regarding edge implementation for human activity recognition (HAR)
Non-Invasive-Bioelectronics-Lab/Modified_Autoencoder4_challenge
Non-Invasive-Bioelectronics-Lab/Portable-Electrochemical-Sensing
Codes and tutorials for implementing portable impedance and electrochemical sensing systems
Non-Invasive-Bioelectronics-Lab/uom_beamer_template
Beamer template for LaTeX based presentations from the University of Manchester
Non-Invasive-Bioelectronics-Lab/BiobankActivityCSF
Non-Invasive-Bioelectronics-Lab/BluetoothLowEnergy_Windows_PythonStreamer
Non-Invasive-Bioelectronics-Lab/Chris-Energy_Harvesting
Non-Invasive-Bioelectronics-Lab/Eleanor-PhD-Eye-tracking
Analysis of eye-tracking fixations, written by Eleanor Trimble
Non-Invasive-Bioelectronics-Lab/index_emg_app
Non-Invasive-Bioelectronics-Lab/kinetic_energy_harvesting
Software used for the processing of data in the IEEE Access paper 'Inertial Kinetic Energy Harvesters for Wearables: The Benefits of Harvesting at the Foot'
Non-Invasive-Bioelectronics-Lab/loadAxitivtyCWAformatDataInPythonOnWindows
Non-Invasive-Bioelectronics-Lab/Machine_learning_algorithm_validation_simulations_with_gausian_noise_data
Machine_learning_algorithm_validation_simulations_with_gausian_noise_data
Non-Invasive-Bioelectronics-Lab/signals_and_systems
Non-Invasive-Bioelectronics-Lab/smartphone-FastICA-demo
This is an Android Studio Project which implements the FastICA decomposition algorithm in smartphones
Non-Invasive-Bioelectronics-Lab/UKBiobankKineticEnergyHarvesting
Non-Invasive-Bioelectronics-Lab/uom_dissertation_template
Non-Invasive-Bioelectronics-Lab/uom_thesis_template
LaTeX template for PhD thesis (and first/second year progress reports) at the University of Manchester