non-invasive-bioelectronics-lab Goto Github PK

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 in Android smartphone

biobankactivitycsf

bluetoothlowenergy_windows_pythonstreamer

chris-energy_harvesting

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

eleanor-phd-eye-tracking

Analysis of eye-tracking fixations, written by Eleanor Trimble

index_emg_app

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'

loadaxitivtycwaformatdatainpythononwindows

lstm-har

An LSTM designed for Human Activity Recognition using Tensorflow 2 on Python 3. LSTM also converted for use on an Android App.

machine_learning_algorithm_validation_simulations_with_gausian_noise_data

Machine_learning_algorithm_validation_simulations_with_gausian_noise_data

modified_autoencoder4_challenge

portable-electrochemical-sensing

Codes and tutorials for implementing portable impedance and electrochemical sensing systems

signals_and_systems

smartphone-fastica-demo

This is an Android Studio Project which implements the FastICA decomposition algorithm in smartphones

ukbiobankkineticenergyharvesting

uom_beamer_template

Beamer template for LaTeX based presentations from the University of Manchester

uom_dissertation_template

uom_thesis_template

LaTeX template for PhD thesis (and first/second year progress reports) at the University of Manchester

wearable_light_sensor_public