Sökning: "body area networks"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden body area networks.

  1. 1. Comparative Analysis of In-Body to Out-Body Wireless CommunicationModules: Test Design and PerformanceEvaluation

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Remya Sree Rema Bhai; Sisymol Stellus; [2024]
    Nyckelord :In-Body to Off-Body Communication; prototype; test-design; test protocol; medical device; wireless communication.;

    Sammanfattning : Wireless communication for biomedical equipment is rapidly improving with the invention of new technologies. Due to the absence of cables, wireless technology is a growing area of interest for biomedical applications. As technology advances, many gadgets are becoming smaller and more portable. LÄS MER

  3. 2. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Alice Fracchia; [2023]
    Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

    Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

  4. 3. Dense Foot Pose Estimation From Images

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

    Författare :Sharif Sharif; [2023]
    Nyckelord :Dense Foot Pose Estimation; Computer vision; Deep Learning; Dense Correspondence; Uppskattning Av Tät Fotställning; Datorseende; Djupinlärning; Tät Korrespondens;

    Sammanfattning : There is ongoing research into building dense correspondence between digital images of objects in the world and estimating the 3D pose of these objects. This is a difficult area to conduct research due to the lack of availability of annotated data. Annotating each pixel is too time-consuming. LÄS MER

  5. 4. Spot the Pain: Exploring the Application of Skeleton Pose Estimation for Automated Pain Assessment

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Angelica Hjelm Gardner; [2022]
    Nyckelord :automated pain assessment; pain recognition; body movements; skeleton pose estimation; deep learning; neural networks;

    Sammanfattning : Automated pain assessment is emerging as an essential part of pain management in areas such as healthcare, rehabilitation, sports and fitness. These automated systems are based on machine learning applications and can provide reliable, objective and cost-effective benefits. LÄS MER

  7. 5. Applicability of Graph Neural Networks to predict Human variability in Human Body Model Rib Strain Predictions

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Statistik, AI och data science

    Författare :Julia Solhed; [2022]
    Nyckelord :Graph Neural Networks; Human Body Model; SAFER HBM; HBM simulation; Rib strain predictions; Rib fracture risk predictions;

    Sammanfattning : Finite element human body models have in recent years become widely used in the area of vehicle safety evaluations. They make it possible to predict injury risk in specific areas, down to the organ level in the human body. An existing human body model, SAFER HBM includes a rib cage representing an average male. LÄS MER