Sökning: "EMG Signal"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden EMG Signal.

  1. 1. Multi-Parameter Modelling of Surface Electromyography Data

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Ahmad Alosta; Josef Djärf; [2024]
    Nyckelord :Surface electromyography; modelling; Python; sEMG; decomposition; neuroengineering; motor unit; muscle; simulation; Technology and Engineering;

    Sammanfattning : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. LÄS MER

  3. 2. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Abboud Afram; Danial Sarab Fard Sabet; [2023]
    Nyckelord :EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

    Sammanfattning : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. LÄS MER

  4. 3. Ankle Torque Estimation Using HDEMG Driven CNN-LSTM Model and Data Augmentation

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Haocheng Zhang; [2023]
    Nyckelord :data augmentation; deep learning; ankle joint torque estimation; HD-sEMG; dataökning; djupinlärning; vridmomentuppskattning av ankelleden; HD-sEMG;

    Sammanfattning : Robotic-powered exoskeletons are increasingly used to assist patients with movement disorders in daily life and rehabilitation. Accurately estimating joint torque, especially for dynamic movement conditions using EMG, is crucial for effective assistance. LÄS MER

  5. 4. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Stefan Christiansson; [2023]
    Nyckelord :MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER

  7. 5. TMS stimulus-response asymmetry in lower limbs : Difference in stimulated muscles between dominant and non-dominant leg

    Kandidat-uppsats, Malmö universitet/Fakulteten för hälsa och samhälle (HS)

    Författare :Adna Pivac; [2022]
    Nyckelord :lower limbs; motor evoked potential; motor cortex; stimulus-response asymmetry; transcranial magnetic stimulation;

    Sammanfattning : Transcranial magnetic stimulation (TMS) is a 37-year-old non-invasive tool and can be used for diagnostic, therapeutics, and research purposes. In research, TMS is mostly used to stimulate the motor cortex, resulting in a neuroelectric excitatory response called a motor evoked potential (MEP). LÄS MER