Modeling, Simulation, Fabrication, and Characterization of a 10- W/cm2 Class Si-Nanowire Thermoelectric Generator for IoT Applications

M Tomita, S Oba, Y Himeda, R Yamato… - … on Electron Devices, 2018 - ieeexplore.ieee.org
We propose a planar device architecture compatible with the CMOS process technology as
the optimal current benchmark of a Si-nanowire (NW) thermoelectric (TE) power generator …

An energy efficient ECG signal processor detecting cardiovascular diseases on smartphone

SK Jain, B Bhaumik - IEEE transactions on biomedical circuits …, 2016 - ieeexplore.ieee.org
A novel disease diagnostic algorithm for ECG signal processing based on forward search is
implemented in Application Specific Integrated Circuit (ASIC) for cardiovascular disease …

Recent progress of biomedical processor soc for wearable healthcare application: A review

M Yoshimoto, S Izumi - IEICE Transactions on Electronics, 2019 - search.ieice.org
This paper surveys advances in biomedical processor SoC technology for healthcare
application and reviews state-of-the-art architecture and circuits used in SoC integration …

A low power cardiovascular healthcare system with cross-layer optimization from sensing patch to cloud platform

C Wang, Y Qin, H Jin, I Kim… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Nowadays, cardiovascular disease is still one of the primary diseases that limit life
expectation of humans. To address this challenge, this work reports an Internet of Medical …

A Survey of Emerging Memory in a Microcontroller Unit

L Qi, J Fan, H Cai, Z Fang - Micromachines, 2024 - mdpi.com
In the era of widespread edge computing, energy conservation modes like complete power
shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory …

Heartrate-dependent heartwave biometric identification with thresholding-based GMM–HMM methodology

CLP Lim, WL Woo, SS Dlay… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents an adaptive heartrate-dependent heartwave-signal-based biometric
identification. A reliable and continuous heartwave extraction method featuring the …

A self-powered supply-sensing biosensor platform using bio fuel cell and low-voltage, low-cost CMOS supply-controlled ring oscillator with inductive-coupling …

K Niitsu, A Kobayashi, Y Nishio… - … on Circuits and …, 2018 - ieeexplore.ieee.org
This paper proposes a self-powered disposable supply-sensing biosensor platform for big-
data-based healthcare applications. The proposed supply-sensing biosensor platform is …

A 2.2- W Cognitive Always-On Wake-Up Circuit for Event-Driven Duty-Cycling of IoT Sensor Nodes

G Rovere, S Fateh, L Benini - IEEE Journal on Emerging and …, 2018 - ieeexplore.ieee.org
We report an always-on event-driven asynchronous wake-up circuit with trainable pattern
recognition capabilities to duty-cycle power-constrained Internet-of-Things (IoT) sensor …

Estimating metabolic equivalents for activities in daily life using acceleration and heart rate in wearable devices

M Nakanishi, S Izumi, S Nagayoshi… - Biomedical engineering …, 2018 - Springer
Background Herein, an algorithm that can be used in wearable health monitoring devices to
estimate metabolic equivalents (METs) based on physical activity intensity data, particularly …

A nano-watt ECG feature extraction engine in 65-nm technology

T Tekeste, H Saleh, B Mohammad… - … on Circuits and …, 2017 - ieeexplore.ieee.org
This brief presents an ultralow power electrocardiography (ECG) feature extraction engine.
ECG signal represents the cardiac cycle and contains key features, such as QRS complex, P …