2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2019
DOI: 10.1109/biocas.2019.8919128
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11nW Signal Acquisition Platform for Remote Biosensing

Abstract: This paper presents the design of an extremely lowenergy biosensing platform that utilizes voltage to time conversion and time-mode signal processing to sense and accommodate electrophysiological biosignals that will be later sent remotely using a simple and low power communication scheme. The electrode input is fed to a chain of monostable multivibrators used as analog-to-time converters, which create time pulses whose widths are proportional to the input signal. These pulses are transmitted to an external re… Show more

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“…This way, the power consumption of the sensing platform could be radically reduced, as a single pixel is very power efficient, i.e., 0.97 nW and 33.01 µW are consumed for 0.6 V and 1.8 V operation, respectively. By coupling the presented pixel and time-mode measurement approach with an energy-efficient communication protocol such as single pulse harmonic modulation [42] as done in [43], it is both possible and feasible to create a monitoring unit for single-chip wirelessly powered or energy harvesting implants. In such a case, the distributed integrity sensing cells could be used to monitor the hermeticity of the chip in vivo.…”
Section: B Wireless Monitoring For Chronic Studiesmentioning
confidence: 99%
“…This way, the power consumption of the sensing platform could be radically reduced, as a single pixel is very power efficient, i.e., 0.97 nW and 33.01 µW are consumed for 0.6 V and 1.8 V operation, respectively. By coupling the presented pixel and time-mode measurement approach with an energy-efficient communication protocol such as single pulse harmonic modulation [42] as done in [43], it is both possible and feasible to create a monitoring unit for single-chip wirelessly powered or energy harvesting implants. In such a case, the distributed integrity sensing cells could be used to monitor the hermeticity of the chip in vivo.…”
Section: B Wireless Monitoring For Chronic Studiesmentioning
confidence: 99%