• An efficient compressive sensing method for connected health applications 

      Al Disi M.; Baali H.; Djelouat H.; Amira A.; Bensaali F.; ... more authors ( Springer Verlag , 2018 , Conference Paper)
      . The sensitive domain of healthcare intensifies the shortcomings associated with internet of things (IoT) based remote health monitoring systems in terms of their high-energy consumption and big data issues such as latency ...
    • An interactive software tool for gas identification 

      Djelouat H.; Ait Si Ali A.; Amira A.; Bensaali F. ( Elsevier B.V. , 2018 , Article)
      This paper presents the design of an interactive graphical user interface (GUI) to monitor and quantify a developed electronic nose (EN) platform for gas identification. To this end, an EN system has been implemented using ...
    • Compressive sensing based ecg biometric system 

      Djelouat H.; Al Disi M.; Amira A.; Bensaali F.; Zhai X. ( Springer Verlag , 2018 , Conference Paper)
      . The Internet of Things (IoT) has started redesigning the paradigm of the connected health sector by leveraging the availability of low power, low-cost sensors and efficient communication protocols. Consequently, IoT based ...
    • Compressive sensing-based IoT applications: A review 

      Djelouat H.; Amira A.; Bensaali F. ( MDPI AG , 2018 , Article Review)
      The Internet of Things (IoT) holds great promises to provide an edge cutting technology that enables numerous innovative services related to healthcare, manufacturing, smart cities and various human daily activities. In a ...
    • Design and Performance Evaluation of a Committee Machine for Gas Identification 

      Akbar M.A.; Djelouat H.; Ait Si Ali A.; Amira A.; Bensaali F.; ... more authors ( Springer , 2018 , Book chapter)
      Selecting the best classifier plays a significant role in the current electronic nose systems that can be deployed for gas applications. For this purpose, this paper presents an empirical study on the performance of three ...
    • Efficient hardware implementation of the ?1-Regularized least squares for IoT edge computing 

      Baali H.; Djelouat H.; Amira A.; Bensaali F.; Zhai X. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      As the use of compressed sensing (CS) in internet of things (IoT) wearable nodes increases, the need for high performance and low power CS reconstruction algorithms for the battery powered IoT Edge Devices also increases. ...
    • Empowering Technology Enabled Care Using IoT and Smart Devices: A Review 

      Baali H.; Djelouat H.; Amira A.; Bensaali F. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article Review)
      Designing power aware wearable devices is the main key in building compact size autonomous smart devices to successfully connect health Internet of things solutions. With their ability to perform tasks ranging from simple ...
    • IoT Based Compressive Sensing for ECG Monitoring 

      Djelouat H.; Baali H.; Amira A.; Bensaali F. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The Internet of Things (IoT) has empowered several sets of applications related to remote monitoring for patients with chronic cardiovascular diseases, where, electrocardiogram (ECG) monitoring has been widely studied and ...
    • Joint sparsity recovery for compressive sensing based EEG system 

      Djelouat H.; Baali H.; Amira A.; Bensaali F. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The last decade has witnessed tremendous efforts to shape the internet of thing (IoT) platforms to be well suited for healthcare applications. These applications involve the deployment of remote monitoring platforms to ...
    • Managing criticalities of e-health IoT systems 

      Kotronis C.; Minou G.; Dimitrakopoulos G.; Nikolaidou M.; Anagnostopoulos D.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Lately, Internet-based solutions, brought by the Internet of Things (IoT) and cloud computation and storage technologies, have been driving revolutionary approaches in innumerable domains, including the sensitive domain ...
    • QRS Complexes Classification Using Dictionary Learning and Pietra Index 

      Baali H.; Djelouat H.; Amira A.; Bensaali F.; Zhai X. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In this study, an algorithm for arrhythmia classification that conforms to the recommended practice by the Association for the Advancement of Medical Instrumentation (AAMI) is presented. Our approach efficiently exploits ...
    • System-on-chip solution for patients biometric: A compressive sensing-based approach 

      DjelouatH.; ZhaiX.; AlDisiM.; AmiraA.; BensaaliF. ( Institute of Electrical and Electronics EngineersInc. , 2018 , Article)
      The ever-increasing demand for biometric solutions for the Internet-of-Things (IoT)-based connected health applications is mainly driven by the need to tackle fraud issues, along with the imperative to improve patient ...
    • The accuracy and efficacy of real-time compressed ECG signal reconstruction on a heterogeneous multicore edge-device 

      Al Disi M.; Djelouat H.; Amira A.; Bensaali F. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Typical real-time remote health monitoring architectures consist of wearable medical devices continuously transmitting physiological signals to a nearby gateway which routes the data to an remote internet of things ...