Recent Submissions

• The application of Industry 4.0 technologies for automated health monitoring and surveillance during pandemics and postpandemic life 

  Marateb, Hamid Reza; Rojas Martínez, Mónica Marlene; Zamani, Shadi; Shirzadi, Mehdi; Koochekian, Amirhossein; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2023-06-01)
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  Industry 4.0 signifies a new step in the control and organization of the manufacturing value chain. It can provide better digital solutions for our day-to-day lives during pandemics and post-pandemic life, including better ...
• Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design 

  Azimi, Tayebe; Koochekian, Amirhossein; Marateb, Hamid Reza; Shirzadi, Mehdi; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Bachiller Matarranz, Alejandro; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2022-12)
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  Chapter 3 discusses the role of sensors in cases of moderate COVID-19 infection that may be linked to cognitive impairments; such prediction systems are promising for smart healthcare design.
• 35. Healthcare (Data Science in) 

  Finocchiaro, Martina; Banfi, Tommaso; Vissani, Matteo; Mazzoni, Alberto; Ciuti, Gastone (Edward Elgar Publishing, 2022)
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  This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise ...
• A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions 

  Khademi, Sadaf; Neghabi, Mehrnoosh; Farahi, Morteza; Shirzadi, Mehdi; Marateb, Hamid Reza (Academic Press, 2022)
  Part of book or chapter of book
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  Brain-computer interface (BCI) aims to translate human intention into a control output signal. In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity. Such activities are then used in ...
• Reliable and accurate information extraction from surface electromyographic signals 

  Marateb, Hamid Reza; Jordanic, Mislav; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Serna Higuita, Leidy Yanet; Shirzadi, Mehdi; Nosouhi, Marjan; Mañanas Villanueva, Miguel Ángel; McGill, Kevin (Institute of Physics (IOP), 2020-08)
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  The electrical activity generated in contracting muscles is measured using electromyographic (EMG) signals. By placing an array of electrodes on the surface of the skin, surface EMG (sEMG) signals are recorded non-invasively. ...