Essays about: "multi-channel data"

Showing result 1 - 5 of 36 essays containing the words multi-channel data.

  1. 1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marie-Ange Stefanos; [2023]
    Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

  3. 2. Multi-Channel Sentiment Analysis in Swedish as Basis for Marketing Decisions

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Malin Uhlander; [2023]
    Keywords : omni-channel marketing; sentiment analysis; Swedish; natural language processing; opinion mining;

    Abstract : In today’s world, it is not enough for companies to consider any one social media channel in isolation. Instead, they must provide their customers with a unified experience across channels and consider interdependencies between channels. READ MORE

  4. 3. Elastic Net Regression for Prosthesis Control in Short Residual Limb Amputees: Performance and Generalizability

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Oskar Berg; [2023]
    Keywords : Neuroengineering; Statistics; Biomedical Signal Processing; Technology and Engineering;

    Abstract : This Master's thesis in Biomedical Engineering investigates the performance and generalizability of linear regression models in context of prosthesis control for short residual limb amputees. This thesis uses intramuscular electromyography data, and a regression and emplys a regression technique called Elastic Net Regression - a technique that combines L1 and L2-regularization - to predict 1-DOF isometric forces outputs from fingers and the wrist. READ MORE

  5. 4. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : M Asjid Tanveer; [2023]
    Keywords : Technology and Engineering;

    Abstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE

  6. 5. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE