Temesghen Tekeste
Temesghen Tekeste
PhD Student, Khalifa University of Science and Technology
Verified email at kustar.ac.ae
Title
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 …, 2016
832016
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, 2017
382017
Adaptive technique for P and T wave delineation in electrocardiogram signals
N Bayasi, T Tekeste, H Saleh, A Khandoker, B Mohammad, M Ismail
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
272014
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, 2018
222018
Power management unit for multi-source energy harvesting in wearable electronics
M Alhawari, T Tekeste, B Mohammad, H Saleh, M Ismail
Circuits and Systems (MWSCAS), 2016 IEEE 59th International Midwest …, 2016
192016
Adaptive ecg interval extraction
T Tekeste, N Bayasi, H Saleh, A Khandoker, B Mohammad, M Al-Qutayri, ...
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on, 998-1001, 2015
162015
A Nano-Watt ECG Feature Extraction Engine in 65nm Technology
T Tekeste, H Saleh, B Mohammad, A Khandoker, M Elnaggar
IEEE Transactions on Circuits and Systems II: Express Briefs, 2017
122017
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
92018
A 65-nm low power ECG feature extraction system
N Bayasi, T Tekeste, H Saleh, B Mohammad, M Ismail
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on, 746-749, 2015
92015
A biomedical SoC architecture for predicting ventricular arrhythmia
T Tekeste, H Saleh, B Mohammad, A Khandoker, M Ismail
Circuits and Systems (ISCAS), 2016 IEEE International Symposium on, 2262-2265, 2016
72016
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, 1-14, 0
2
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, 1-14, 2019
12019
Embedded memory options for ultra-low power IoT devices
K Mohammad, T Tekeste, B Mohammad, H Saleh, M Qurran
Microelectronics Journal 93, 104634, 2019
2019
Efficient Algorithm for VT/VF Prediction for IoT SoCs
T Tekeste, H Saleh
The IoT Physical Layer, 233-243, 2019
2019
Ultra-Low-Power ECG Processor for IoT SOCs
T Tekeste, Y Kifle, H Saleh, B Mohammad, M Ismail
The IoT Physical Layer, 141-152, 2019
2019
for IoT SOCs
T Tekeste, Y Kifle, H Saleh, B Mohammad, M Ismail
The IoT Physical Layer: Design and Implementation, 141, 2018
2018
Fused floating point arithmetic for discrete wavelet transform
T Tekeste, H Saleh, B Mohammad, M Ismail
Circuits and Systems (MWSCAS), 2016 IEEE 59th International Midwest …, 2016
2016
Survey of wireless baseband SoC for biomedical application
T Tekeste, H Saleh, B Mohammad, M Al-Qutayri, M Ismail
Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International …, 2013
2013
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