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Temesghen Tekeste
Temesghen Tekeste
PhD Student, Khalifa University of Science and Technology
Verified email at kustar.ac.ae
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Cited by
Cited by
Year
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
1502015
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
962018
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
742017
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
382016
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
382014
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
292017
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
222018
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
182015
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
162013
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
112015
Embedded memory options for ultra-low power IoT devices
K Mohammad, T Tekeste, B Mohammad, H Saleh, M Qurran
Microelectronics Journal 93, 104634, 2019
102019
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
102016
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
82022
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
82020
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
62019
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
42019
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
32013
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
22019
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
12019
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
2019
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