听力与言语-语言病理学

行为科学

医学伦理学

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  • MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images.

    abstract::COVID-19 is a disease that causes symptoms in the lungs and causes deaths around the world. Studies are ongoing for the diagnosis and treatment of this disease, which is defined as a pandemic. Early diagnosis of this disease is important for human life. This process is progressing rapidly with diagnostic studies based...

    journal_title:Biomedical signal processing and control

    pub_type: 杂志文章

    doi:10.1016/j.bspc.2020.102257

    authors: Canayaz M

    更新日期:2021-02-01 00:00:00

  • Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices.

    abstract:Background and objectives:The description of production kinematics of dysphonic voices plays an important role in the clinical care of voice disorders. However, high-speed videolaryngoscopy is not routinely used in clinical practice, partly because there is a lack of diagnostic markers that may be obtained from high-sp...

    journal_title:Biomedical signal processing and control

    pub_type: 杂志文章

    doi:10.1016/j.bspc.2019.01.007

    authors: Aichinger P,Pernkopf F,Schoentgen J

    更新日期:2019-04-01 00:00:00

  • Classification of ADHD and Non-ADHD Subjects Using a Universal Background Model.

    abstract::ADHD affects a major portion of our children, predominantly boys. Upon diagnosis treatment can be offered that is usually quite effective. Diagnosis is generally based on subjective observation and interview. As a result, an objective test for the detection or presence of ADHD is considered very desirable. Based on EE...

    journal_title:Biomedical signal processing and control

    pub_type: 杂志文章

    doi:10.1016/j.bspc.2017.07.023

    authors: Marcano JL,Bell MA,Beex AAL

    更新日期:2018-01-01 00:00:00

  • Noise reduction in intracranial pressure signal using causal shape manifolds.

    abstract::We present the Iterative/Causal Subspace Tracking framework (I/CST) for reducing noise in continuously monitored quasi-periodic biosignals. Signal reconstruction of the basic segments of the noisy signal (e.g. beats) is achieved by projection to a reduced space on which probabilistic tracking is performed. The attract...

    journal_title:Biomedical signal processing and control

    pub_type: 杂志文章

    doi:10.1016/j.bspc.2016.03.003

    authors: Rajagopal A,Hamilton RB,Scalzo F

    更新日期:2016-07-01 00:00:00