A 9 $\mu$A, Addressable Gen2 Sensor Tag for Biosignal Acquisition

Yeager, D.; Zhang, Fan; Zarrasvand, Azin; George, Nicole T.; Daniel, Tom; Otis, Brian

doi:10.1109/jssc.2010.2063930

Cited by 93 publications

(30 citation statements)

References 32 publications

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“…Many IAs for biomedical sensing can be found in the literature [16][17][18][19][20]. In this section, several of the most recently published designs will be briefly introduced.…”

Section: State-of-the-art Ias For Ac Biomedical Sensingmentioning

confidence: 99%

Capacitively Coupled Chopper Instrumentation Amplifiers for Low-Voltage Applications

Fan

Makinwa

Huijsing³

2016

Analog Circuits and Signal Processing

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Chapter 6 has explored the use of a CCIA for high-side current sensing applications, where its wide CMVR and high power efficiency can be optimally leveraged. In Low-voltage (LV) applications, despite the much smaller CMVR, these advantages, together with the CCIA's high gain accuracy, are still quite useful. Therefore, in this chapter, a CCIA for LV applications, e.g., sensor readout, will be presented.This chapter starts with an introduction in which the targeted applications and requirements for the proposed CCIA are presented. Section 7.2 provides a brief overview of the state of the art, which is followed by the design of the proposed CCIA in Sect. 7.3. Section 7.4 discusses critical implementation details. Experimental results will be given in Sect. 7.5. Conclusions will be drawn in Sect. 7.6.

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“…Many IAs for biomedical sensing can be found in the literature [16][17][18][19][20]. In this section, several of the most recently published designs will be briefly introduced.…”

Section: State-of-the-art Ias For Ac Biomedical Sensingmentioning

confidence: 99%

Capacitively Coupled Chopper Instrumentation Amplifiers for Low-Voltage Applications

Fan

Makinwa

Huijsing³

2016

Analog Circuits and Signal Processing

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“…Table 1 compares this system with other biotelemetry systems designed for operation with small, freely-moving animals. With the exception of [22], which is also RF-powered, existing systems weigh too much to permit natural flight behavior from a dragonfly, largely due to the weight of bulk energy storage. Such small batteries or supercapacitors also have the significant disadvantage of short useful lifetimes, often less than 1 hour.…”

Section: Far Field Modulated Backscat-ter For Wearable Devicesmentioning

confidence: 99%

Modulated backscatter for ultra-low power uplinks from wearable and implantable devices

Thomas

Besnoff

Reynolds

2012

Proceedings of the 2012 ACM Workshop on Medical Communication Systems

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Wearable and implantable wireless biomedical devices are often constrained by the limited bandwidth and high power consumption of their communication links. The VHF or UHF transceivers (e.g. MICS radios) traditionally used for this communication function have relatively high power consumption, on the order of mW, due to the high bias currents required for the analog sections of the radio. To reduce overall power consumption, both the data rate and the duty cycle of the radio are usually minimized, because the lifetime of the device is limited by the energy density of available battery technologies.Recent innovations in modulated backscatter techniques offer the possibility of a radical reduction in the power cost and complexity of the data uplink, while significantly improving data rate. This is achieved by a re-partitioning of the communication link. Backscatter techniques shift the burden of power cost and complexity from the remote device to a base station. Instead of actively transmitting an RF signal, the remote device uplinks data to the base station by modulating its reflected field.We present two ultra-low power biotelemetry systems that leverage modulated backscatter in both the near-field and far-field propagation regimes. The first example operates in the far field and is designed to telemeter multiple channels of neural/EMG signals from dragonflies in flight. This device has a mass of 38 mg, a data rate of 5 Mbit/s, and a range of approximately 5 m. The second example operates in the near field and is designed to be implanted in mice. The sensor has a maximum implant depth of 6cm and can transmit at data rates of up to 30 Mbit/s. The power cost of the animal side of both data links is 4.9 pJ/bit and 16.4 pJ/bit respectively.

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“…This will greatly reduce the cost and power consumption of wireless communication systems. For example, scholars from the University of Washington [3] researched the WISP (wireless identification and sensing platform) wireless smart sensor systems which can harvest RF energy based on backscatter communication. Now, PBC (passive backscatter communication) has been applied in these fields of smart car, wireless temperature measurement, the biological signal acquisition [4][5][6][7][8][9], and so forth.…”

Section: Introductionmentioning

confidence: 99%

Power Control for Passive QAM Multisensor Backscatter Communication Systems

Yan

et al. 2017

Journal of Sensors

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To achieve good quality of service level such as throughput, power control is of great importance to passive quadrature amplitude modulation (QAM) multisensor backscatter communication systems. First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. Especially, for a given consumed power of sensor, it can be seen that the throughput decreases with the duty cycle and the number of sensors has little effect on the throughput.

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A 9 $\mu$A, Addressable Gen2 Sensor Tag for Biosignal Acquisition

Cited by 93 publications

References 32 publications

Capacitively Coupled Chopper Instrumentation Amplifiers for Low-Voltage Applications

Capacitively Coupled Chopper Instrumentation Amplifiers for Low-Voltage Applications

Modulated backscatter for ultra-low power uplinks from wearable and implantable devices

Power Control for Passive QAM Multisensor Backscatter Communication Systems

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