Yejoong Kim

A cubic-millimeter energy-autonomous wireless intraocular pressure monitor

Circuit blocks for a 1.5 mm3 microsystem enable continuous monitoring of intraocular pressure. Due to power and form-factor limitations, circuit blocks are designed at nanowatt power levels not completely explored before. The system includes a 75% efficient 90 nW DC-DC converter which is the most efficient reported sub- μW converter in literature. It also includes a novel 4.7 nJ/bit FSK radio that achieves 10 cm of transmission range at 10 -6 BER which is also the lowest number reported for short-range through-tissue wireless links for biomedical implants. A MEMS capacitive sensor and ΣΔ capacitance-to-digital converter measure IOP with 0.5 mmHg accuracy. A microcontroller processes and saves IOP data and stores it in a 2.4 fW/bitcell SRAM. The microsystem harvests a maximum power of 80 nW in sunlight with a light irradiance of 100 mW/cm2 AM 1.5 from an integrated 0.07 mm2 solar cell to recharge a 1 mm2 1 μAh thin-film battery and power the load circuits. The design achieves zero-net-energy operation with 1.5 hours of sunlight or 10 hours of bright indoor lighting daily.

A Modular 1 mm

A 1.0 mm3 general-purpose sensor node platform with heterogeneous multi-layer structure is proposed. The sensor platform benefits from modularity by allowing the addition/removal of IC layers. A new low power I2C interface is introduced for energy efficient inter-layer communication with compatibility to commercial I2C protocols. A self-adapting power management unit is proposed for efficient battery voltage down conversion for wide range of battery voltages and load current. The power management unit also adapts itself by monitoring energy harvesting conditions and harvesting sources and is capable of harvesting from solar, thermal and microbial fuel cells. An optical wakeup receiver is proposed for sensor node programming and synchronization with 228 pW standby power. The system also includes two processors, timer, temperature sensor, and low-power imager. Standby power of the system is 11 nW.

^{3}

We propose Bubble Razor, an architecturally independent approach to timing error detection and correction that avoids hold-time issues and enables large timing speculation windows. A local stalling technique that can be automatically inserted into any design allows the system to scale to larger processors. We implemented Bubble Razor on an ARM Cortex-M3 microprocessor in 45 nm CMOS without detailed knowledge of its internal architecture to demonstrate the techniques automated capability. The flip-flop based design was converted to two-phase latch timing using commercial retiming tools; Bubble Razor was then inserted using automatic scripts. This system marks the first published implementation of a Razor-style scheme on a complete, commercial processor. It provides an energy efficiency improvement of 60% or a throughput gain of up to 100% compared to operating with worst case timing margins.

Die-Stacked Sensing Platform With Low Power I

Wireless sensor nodes have many compelling applications such as smart buildings, medical implants, and surveillance systems. However, existing devices are bulky, measuring >;1cm3, and they are hampered by short lifetimes and fail to realize the “smart dust” vision of [1]. Smart dust requires a mm3-scale, wireless sensor node with perpetual energy harvesting. Recently two application-specific implantable microsystems [2][3] demonstrated the potential of a mm3-scale system in medical applications. However, [3] is not programmable and [2] lacks a method for re-programming or re-synchronizing once encapsulated. Other practical issues remain unaddressed, such as a means to protect the battery during the time period between system assembly and deployment and the need for flexible design to enable use in multiple application domains.

^{2}

Several methods that eliminate timing margins by detecting and correcting transient delay errors have been proposed. These Razor-style systems replace critical flip-flops with ones that detect late arriving signals, and use architectural replay to correct errors. However, none of these methods have been applied to a complete commercial processor due to their architectural invasiveness. In addition, these Razor techniques introduce significant hold time constraints that are difficult to meet given worsening timing variability. To address these two issues we propose Bubble Razor (B-Razor), which uses a novel error-detection technique based on two-phase latch timing and a local replay mechanism that can be inserted automatically in any design. The error detec tion technique breaks the dependency between minimum delay and speculation window, restoring hold-time constraints to conventional values and allowing timing speculation of up to 100% of nominal delay. The large timing specula tion makes Bubble Razor especially applicable to low-voltage designs where tim ing variation grows exponentially.

C Inter-Die Communication and Multi-Modal Energy Harvesting

Glaucoma is the leading cause of blindness, affecting 67 million people worldwide. The disease damages the optic nerve due to elevated intraocular pressure (IOP) and can cause complete vision loss if untreated. IOP is commonly assessed using a single tonometric measurement, which provides a limited view since IOP fluctuates with circadian rhythms and physical activity. Continuous measurement can be achieved with an implanted monitor to improve treatment regiments, assess patient compliance to medication schedules, and prevent unnecessary vision loss. The most suitable implantation location is the anterior chamber of the eye, which is surgically accessible and out of the field of vision. The desired IOP monitor (IOPM) volume is limited to 1.5mm3 (0.5x1.5x2mm3) by the size of a self-healing incision, curvature of the cornea, and dilation of the pupil.

Bubble Razor: Eliminating Timing Margins in an ARM Cortex-M3 Processor in 45 nm CMOS Using Architecturally Independent Error Detection and Correction

A syringe-implantable electrocardiography (ECG) monitoring system is proposed. The noise optimization and circuit techniques in the analog front-end (AFE) enable 31 nA current consumption while a minimum energy computation approach in the digital back-end reduces digital energy consumption by 40%. The proposed SoC is fabricated in 65 nm CMOS and consumes 64 nW while successfully detecting atrial fibrillation arrhythmia and storing the irregular waveform in memory in experiments using an ECG simulator, a live sheep, and an isolated sheep heart.

A modular 1mm 3 die-stacked sensing platform with optical communication and multi-modal energy harvesting

We present a 2×4×4mm3 imaging system complete with optics, wireless communication, battery, power management, solar harvesting, processor and memory. The system features a 160×160 resolution CMOS image sensor with 304nW continuous in-pixel motion detection mode. System components are fabricated in five different IC layers and die-stacked for minimal form factor. Photovoltaic (PV) cells face the opposite direction of the imager for optimal illumination and generate 456nW at 10klux to enable energy autonomous system operation.

Bubble Razor: An architecture-independent approach to timing-error detection and correction

The Internet of Things (IoT) is a rapidly emerging application space, poised to become the largest electronics market for the semiconductor industry. IoT devices are focused on sensing and actuating of our physical environment and have a nearly unlimited breadth of uses. In this paper, we explore the IoT application space and then identify two common challenges that exist across this space: ultra-low power operation and system design using modular, composable components. We survey recent low power techniques and discuss a low power bus that enables modular design. Finally, we conclude with three example ultra-low power, millimeter-scale IoT systems.

Circuits for a Cubic-Millimeter Energy-Autonomous Wireless Intraocular Pressure Monitor

This work presents a dual-slope capacitance to digital converter for pressure sensing. The design uses base capacitance subtraction with a configurable capacitor bank and dual precision comparators to improve energy efficiency, consuming 110nW with 9.7b ENOB and 0.85pJ/conv·step FoM. The converter is integrated with a pressure transducer, battery, processor, and radio to form a complete 1.4mm×2.8mm×1.6mm sensor system aimed at implantable devices. The system operates from a 3.6V battery.