Browsing by Subject "Signal processing"

Now showing items 1-5 of 5

    • Detection of amyotrophic lateral sclerosis using signal processing and machine learning 

      Ali, Zohair Mehtab (Brac University, 2019-04)
      Electromyography(EMG) signals provide signi cant information for the diagnosis of neuromuscular disorders like Amyotrophic Lateral Sclerosis(ALS) which is a form of Motor Neuron Disease(MND). Due to the stochastic nature ...

    • EEG signals analysis for motor imagery brain computer interface 

      Rahman, La z Maruf; Alam, Zawad; Rahman, Md. Musta-E-Nur (Brac University, 2019-08)
      A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ...

    • Electroencephalography based brain controlled grasp and lift 

      Chakraborty, Pritam; Akter, Sanjida; Hasin, Bariyat; Ahmed, Syeda Faria (Brac University, 2021-09)
      The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ...

    • Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms 

      Saquib, Nazmus; Mithun, Kaniz Fatema; Tasnim, Jarin; Sen, Pushpol (Brac University, 2021-06)
      In the highly advanced and competitive business world, today’s marketing strategy has become very difficult. To satisfy the needs and necessities of consumers, advanced marketing research methods are required to recognize ...

    • Taking meredith out of Grey's anatomy: automating hospital ICU emergency signaling 

      Ahmed, Tarem; Ahmed, Supriyo Shafkat; Chowdhury, Fazle Elahi (© 2016 Institute of Electrical and Electronics Engineers Inc., 2016-05)
      In this paper we propose a new algorithm based on kernel machines for automatic, instantaneous detection of emergencies occurring in a hospital Intensive Care Unit. The proposed algorithm takes as input the multitude of ...