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—This paper presents an ultra-low power batteryless energy harvesting body sensor node (BSN) SoC fabricated in a commercial 130 nm CMOS technology capable of acquiring, processing, and transmitting electrocardiogram (ECG), elec-tromyogram (EMG), and electroencephalogram (EEG) data. This SoC utilizes recent advances in energy harvesting, dynamic power(More)
Batteryless operation and ultra-low-power (ULP) wireless communication will be two key enabling technologies as the IC industry races to keep pace with the IoE projections of 1T-connected sensors by 2025. Bluetooth Low-Energy (BLE) is used in many consumer IoE devices now because it offers the lowest average power for a radio that can communicate directly(More)
—A boost converter for thermoelectric energy harvesting in 130 nm CMOS achieves energy harvesting from a 10 mV input, which allows wearable body sensors to continue operation with low thermal gradients. The design uses a peak inductor current control scheme and duty cycled, offset compensated com-parators to maintain high efficiency across a broad range of(More)
A 1 trillion node internet of things (IoT) will require sensing platforms that support numerous applications using power harvesting to avoid the cost and scalability challenge of battery replacement in such large numbers. Previous SoCs achieve good integration and even energy harvesting [1][2][3], but they limit supported applications, need higher(More)
This paper presents a single inductor energy harvesting and power management (EHM) unit for ultra-low power (ULP) systems. The proposed circuit harvests energy from solar cells from 0.38V input voltage (Vin) and provides 4 output voltages-storage at 5V and VDDs at 3.3V, 1.5V and 1.2V. A peak inductor current control scheme enables high efficiency operation(More)
Recent advances in ultra-low power chip design techniques, many originally targeting wireless sensor networks, will enable a new generation of body-worn devices for health monitoring. We utilize the state-of-the-art in low power RF transmitters, low voltage boost circuits, subthreshold processing, biosignal front-ends, dynamic power management, and energy(More)