| Low-power ECG-based processor for predicting ventricular arrhythmia N Bayasi, T Tekeste, H Saleh, B Mohammad, A Khandoker, M Ismail IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (5 …, 2015 | 159 | 2015 |
| Ultra-low power QRS detection and ECG compression architecture for IoT healthcare devices T Tekeste, H Saleh, B Mohammad, M Ismail IEEE Transactions on Circuits and Systems I: Regular Papers 66 (2), 669-679, 2018 | 106 | 2018 |
| Ultra-low power, secure IoT platform for predicting cardiovascular diseases M Yasin, T Tekeste, H Saleh, B Mohammad, O Sinanoglu, M Ismail IEEE Transactions on Circuits and Systems I: Regular Papers 64 (9), 2624-2637, 2017 | 77 | 2017 |
| Power management unit for multi-source energy harvesting in wearable electronics M Alhawari, T Tekeste, B Mohammad, H Saleh, M Ismail 2016 IEEE 59th International Midwest Symposium on Circuits and Systems …, 2016 | 39 | 2016 |
| Adaptive technique for P and T wave delineation in electrocardiogram signals N Bayasi, T Tekeste, H Saleh, A Khandoker, B Mohammad, M Ismail 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 39 | 2014 |
| A nano-watt ECG feature extraction engine in 65-nm technology T Tekeste, H Saleh, B Mohammad, A Khandoker, M Ismail IEEE Transactions on Circuits and Systems II: Express Briefs 65 (8), 1099-1103, 2017 | 34 | 2017 |
| A nanowatt real-time cardiac autonomic neuropathy detector T Tekeste, H Saleh, B Mohammad, A Khandoker, H Jelinek, M Ismail IEEE transactions on biomedical circuits and systems 12 (4), 739-750, 2018 | 22 | 2018 |
| Lightweight shufflenet based cnn for arrhythmia classification H Tesfai, H Saleh, M Al-Qutayri, MB Mohammad, T Tekeste, A Khandoker, ... IEEE Access 10, 111842-111854, 2022 | 20 | 2022 |
| Adaptive ECG interval extraction T Tekeste, N Bayasi, H Saleh, A Khandoker, B Mohammad, M Al-Qutayri, ... 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 998-1001, 2015 | 19 | 2015 |
| A> 89% efficient LED driver with 0.5 V supply voltage for applications requiring low average current W Saadeh, T Tekeste, MH Perrott 2013 IEEE Asian Solid-State Circuits Conference (A-SSCC), 273-276, 2013 | 17 | 2013 |
| Embedded memory options for ultra-low power IoT devices K Mohammad, T Tekeste, B Mohammad, H Saleh, M Qurran Microelectronics Journal 93, 104634, 2019 | 13 | 2019 |
| A 65-nm low power ECG feature extraction system N Bayasi, T Tekeste, H Saleh, B Mohammad, M Ismail 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 746-749, 2015 | 11 | 2015 |
| ASIC implementation of a pre-trained neural network for ECG feature extraction HT Tefai, H Saleh, T Tekeste, M Alqutayri, B Mohammad 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 10 | 2020 |
| A biomedical SoC architecture for predicting ventricular arrhythmia T Tekeste, H Saleh, B Mohammad, A Khandoker, M Ismail 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2262-2265, 2016 | 10 | 2016 |
| A novel SIFT architecture and ASIC implementation for real time SOC application M Qasaimeh, H Saleh, B Mohammad, T Tekeste, M Ismail Analog Integrated Circuits and Signal Processing 99, 325-338, 2019 | 7 | 2019 |
| A novel algorithm for the prediction and detection of ventricular arrhythmia N Bayasi, T Tekeste, H Saleh, AH Khandoker, B Mohammad, M Ismail Analog Integrated Circuits and Signal Processing 99, 413-426, 2019 | 6 | 2019 |
| Introduction to ultra-low power ECG processor T Tekeste Habte, H Saleh, B Mohammad, M Ismail, T Tekeste Habte, ... Ultra Low Power ECG Processing System for IoT Devices, 1-6, 2019 | 3 | 2019 |
| Variability analysis of a 28nm near-threshold synchronous voltage converter T Tekeste, A Shabra, D Boning, I Elfadel 2013 IEEE 20th International Conference on Electronics, Circuits, and …, 2013 | 3 | 2013 |
| Ultra-low power CAN detection and VA prediction T Tekeste Habte, H Saleh, B Mohammad, M Ismail, T Tekeste Habte, ... Ultra Low Power ECG Processing System for IoT Devices, 59-83, 2019 | 1 | 2019 |
| Background on ECG Processing T Tekeste Habte, H Saleh, B Mohammad, M Ismail, T Tekeste Habte, ... Ultra Low Power ECG Processing System for IoT Devices, 13-26, 2019 | 1 | 2019 |
Hani H. SalehKhalifa UniversityVerified email at ku.ac.ae
