Title :
Wireless Integrated Voltametric and Amperometric Biosensing
Author :
Mollazadeh, Mohsen ; Murari, Kartikeya ; Sauer, Christian ; Stanacevic, Milutin ; Thakor, Nitish ; Cauwenberghs, Gert
Author_Institution :
Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD
Abstract :
Central nervous system (CNS) uses the interplay between signals of different modalities to transfer and process information. Neurological events are characterized by changes in both neurochemical concentrations and the electrical activity of neurons. Electrophysiological and neurochemical events are highly correlated as one causes the other and vice-versa. The ability to simultaneously record electrical and chemical activity is of considerable research and diagnostic importance. Here, we present a hardware implementation for wireless power and clock transfer to and serial transmission of digitized neurochemical and electrophysiological data from sensors over one RF link. The idea can be extended to sensors of different modalities having widely different data rates. Neurochemical data are acquired in real-time from a custom multichannel very large scale integrated (VLSI) potentiostat chip at 5 Hz. Field potential data were sampled at 400 Hz. A custom VLSI chip powers up and supplies clocks to the potentiostat and telemeters the multiplexed data. All the chips were fabricated in AMI 3M-2P 0.5mu CMOS process. We demonstrate successful operation of the system with wireless powering and telemetry of the multiplexed data
Keywords :
CMOS analogue integrated circuits; VLSI; amperometric sensors; biochemistry; bioelectric potentials; biomedical telemetry; molecular biophysics; neurophysiology; patient diagnosis; voltammetry (chemical analysis); 400 Hz; 5 Hz; CMOS; amperometric biosensing; central nervous system; clock transfer; electrical activity; electrophysiology; field potential; multichannel very large scale integrated potentiostat chip; neurochemical concentrations; neurochemistry; neurological events; neurons; telemetry; voltammetric biosensing; wireless integrated sensing; wireless power; wireless powering; Biosensors; Central nervous system; Chemical sensors; Clocks; Electrophysiology; Hardware; Neurons; Signal processing; Very large scale integration; Wireless sensor networks;
Conference_Titel :
Life Science Systems and Applications Workshop, 2006. IEEE/NLM
Conference_Location :
Bethesda, MD
Print_ISBN :
1-4244-0277-8
Electronic_ISBN :
1-4244-0278-6
DOI :
10.1109/LSSA.2006.250372