CMOS ISFET arrays for integrated electrochemical sensing and imaging applications: A tutorial
The ion-sensitive field-effect transistor (ISFET) is a type of electrochemical sensor with a
wide range of applications. They offer advantages of being compatible with standard CMOS …
wide range of applications. They offer advantages of being compatible with standard CMOS …
Real-time forecasting of sEMG features for trunk muscle fatigue using machine learning
A Moniri, D Terracina… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: Several features of the surface electromyography (sEMG) signal are related to
muscle activity and fatigue. However, the time-evolution of these features are non-stationary …
muscle activity and fatigue. However, the time-evolution of these features are non-stationary …
Printed machine learning classifiers
A large number of application domains have requirements on cost, conformity, and non-
toxicity that silicon-based computing systems cannot meet, but that may be met by printed …
toxicity that silicon-based computing systems cannot meet, but that may be met by printed …
Approximate computing and the efficient machine learning expedition
Approximate computing (AxC) has been long accepted as a design alternative for efficient
system implementation at the cost of relaxed accuracy requirements. Despite the AxC …
system implementation at the cost of relaxed accuracy requirements. Despite the AxC …
Realization and training of an inverter-based printed neuromorphic computing system
Emerging applications in soft robotics, wearables, smart consumer products or IoT-devices
benefit from soft materials, flexible substrates in conjunction with electronic functionality. Due …
benefit from soft materials, flexible substrates in conjunction with electronic functionality. Due …
Wearable Sensors for Vital Signs: A Review of 20 Years in BioCAS and Future Directions
Y Suo, Y Zhao, Y Lian - 2024 IEEE Biomedical Circuits and …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive review of the advancements of wearables over 20
years of BioCAS and explores future directions in the field. The review focuses on the …
years of BioCAS and explores future directions in the field. The review focuses on the …
Time-domain multiply–accumulate unit
PS Locatelli, DM Colombo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a novel approach for performing multiply–accumulate (MAC) operations in the
time-domain is presented. The Internet of Things, machine learning, and 5G are driving up …
time-domain is presented. The Internet of Things, machine learning, and 5G are driving up …
A Low Power AI Hardware Accelerator for Microwave-Based Ice Detection
The fusion of sensors with AI at the edge enables energy-efficient and real-time monitoring
and detection. However, very few hardware implementations of edge AI in microwave …
and detection. However, very few hardware implementations of edge AI in microwave …
Artificial Neurons on Flexible Substrates: A Fully Printed Approach for Neuromorphic Sensing
Printed electronic devices have demonstrated their applicability in complex electronic
circuits. There is recent progress in the realization of neuromorphic computing systems …
circuits. There is recent progress in the realization of neuromorphic computing systems …
Wearable Sensors for Vital Signs: A Review of 20 Years and Future Directions
Y Suo, H Guo, R Yu, Y Zhao - Integrated Circuits and Systems, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive review of the advancements of wearables over 20
years and explores future directions in the field. The review focuses on the evolving needs …
years and explores future directions in the field. The review focuses on the evolving needs …