Title :
Low power data acquisition for microImplant biometric monitoring
Author :
Khanna, Tania ; Dawson, Joel L.
Author_Institution :
Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
In this paper, a scheme for data acquisition suited to long term biometric monitoring is presented for microImplants, in particular as applied to Parkinson´s tremor monitoring. The system application informs the circuit design and combines the techniques of compressive sensing and adiabatic charging, we can show an effective improvement in the FOM of a 7-bit SAR ADC fabricated in a 0.18um process.
Keywords :
analogue-digital conversion; biomedical electronics; biometrics (access control); compressed sensing; data acquisition; low-power electronics; patient monitoring; prosthetics; synthetic aperture radar; FOM; Parkinson tremor monitoring; SAR ADC; adiabatic charging; circuit design; compressive sensing; low power data acquisition; microimplant biometric monitoring; size 0.18 mum; word length 7 bit; Calibration; Capacitors; Clocks; Compressed sensing; Energy loss; Frequency domain analysis; Monitoring;
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2012.6292135
