Syed Muhammad Abubakar

According to our database, Syed Muhammad Abubakar authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring.

Ning Pu, Nan Wu, Syed Muhammad Abubakar, Yihuai Yang, Xinpeng Liu, Sining Pan, Yanshu Guo, Wen Jia, Zhihua Wang, Hanjun Jiang

IEEE Trans. Biomed. Circuits Syst., June, 2024

A Resource-efficient Lip Detector Based on Hybrid Feature Criteria and Predictive Bounding Box Tracking for Mobile HCI Applications.

Kaiji Liu, Siqi Zhang, Syed Muhammad Abubakar, Nan Wu, Yanshu Guo, Zhihua Wang, Hanjun Jiang

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Ventricular Arrhythmia Prediction 3-Hours Ahead of Onset for Long-Term ECG Monitoring.

Syed Muhammad Abubakar, Kaiji Liu, Zhihua Wang, Hanjun Jiang

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

2022

A 746 nW ECG Processor ASIC Based on Ternary Neural Network.

Syed Muhammad Abubakar, Yue Yin, Songyao Tan, Hanjun Jiang, Zhihua Wang

IEEE Trans. Biomed. Circuits Syst., 2022

A 1.92 μA Always-on ECG Monitoring Mixed-Signal SoC for Implantable Medical Application.

Syed Muhammad Abubakar, Hanjun Jiang, Yue Yin, Jiahua Shi, Xiaofeng Yang, Wen Jia, Zhihua Wang

Proceedings of the 19th International SoC Design Conference, 2022

2021

A 2.63 μW ECG Processor With Adaptive Arrhythmia Detection and Data Compression for Implantable Cardiac Monitoring Device.

Yue Yin, Syed Muhammad Abubakar, Songyao Tan, Jiahua Shi, Peilin Yang, Wendi Yang, Hanjun Jiang, Zhihua Wang, Wen Jia, Seng-Pan U

IEEE Trans. Biomed. Circuits Syst., 2021

An Energy-Efficient Binarized Neural Network Using Analog-Intensive Feature Extraction for Keyword and Speaker Verification Wakeup.

Ning Pu, Kang Zhao, Syed Muhammad Abubakar, Yue Yin, Hanjun Jiang, Xiaofeng Yang, Zhihua Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A 2.52 μΑ Wearable Single Lead Ternary Neural Network Based Cardiac Arrhythmia Detection Processor.

Syed Muhammad Abubakar, Yue Yin, Songyao Tan, Hanjun Jiang, Zhihua Wang, Seng-Pan U, Wen Jia

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

A 17.7-pJ/Cycle ECG Processor for Arrhythmia Detection with High Immunity to Power Line Interference and Baseline Drift.

Yue Yin, Syed Muhammad Abubakar, Songyao Tan, Hanjun Jiang, Zhihua Wang, Seng-Pan U, Wen Jia

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2020

2019

An ECG Processor for the Detection of Eight Cardiac Arrhythmias with Minimum False Alarms.

Muhammad Arham Sohail, Zain Taufique, Syed Muhammad Abubakar, Wala Saadeh, Muhammad Awais Bin Altaf

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

A wearable long-term single-lead ECG processor for early detection of cardiac arrhythmia.

Syed Muhammad Abubakar, Wala Saadeh, Muhammad Awais Bin Altaf

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

A Wearable Auto-Patient Adaptive ECG Processor for Shockable Cardiac Arrhythmia.

Syed Muhammad Abubakar, Muhammad Rizwan Khan, Wala Saadeh, Muhammad Awais Bin Altaf

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018