• Arrhythmia classification using DWT-coefficient energy ratios 

      Mahgoub, Asma; Sofi, Adeen Tanveer; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ...
    • 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 ...
    • COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network 

      Rahman, Tawsifur; Akinbi, Alex; Chowdhury, Muhammad E. H.; Rashid, Tarik A.; Şengür, Abdulkadir; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...
    • ECG security identification system on the Zynq SoC platform 

      Zhai, Xiaojun; Amira, Abbes; Bensaali, Faycal ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Electrocardiogram (ECG) is one of the most safety-relevant biometrics due to its live indication and the unique specific waveform. This paper presents an approach for a security identification system and its System-on-Chip ...
    • Ubiquitous monitoring system for critical cardiac abnormalities 

      Qidwai, Uvais; Chaudhry, Junaid Ahsenali; Shakir, Mohamed; Rittenhouse, Robert G. ( Springer , 2012 , Book chapter)
      In many critical cardiac abnormalities, it is desirable to have a monitoring system that can keep a constant surveillance on the conditions of the heart and its related patterns. This can be very convenient in clinical ...
    • Using casual reasoning for anomaly detection among ECG live data streams in ubiquitous healthcare monitoring systems 

      Qidwai U.; Chaudhry J.; Jabbar S.; Zeeshan H.M.A.; Janjua N.; ... more authors ( Springer Verlag , 2019 , Article)
      Anomalies in cardiac functionality can be fatal. Early detection of these anomalies, and in many cases their precursors, can save lives. The probability of the occurrence of these anomalies is extremely among people with ...