2019
DOI: 10.1007/978-981-13-5950-7_57
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Design of CMOS Based Biosensor for Implantable Medical Devices

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Cited by 4 publications
(4 citation statements)
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“…Using the amplifier, the low voltage signal is converted to a high voltage signal. As described above, Biological signals are usually weak signals that need to be amplified, because signal processing is only possible with the high voltage signal [24]. The processor consists of an Analog to Digital Converter (ADC) which converts the analog to a digital signal for transmit the data to user.…”
Section: Proposed Design Of Otas For Biosensormentioning
confidence: 99%
“…Using the amplifier, the low voltage signal is converted to a high voltage signal. As described above, Biological signals are usually weak signals that need to be amplified, because signal processing is only possible with the high voltage signal [24]. The processor consists of an Analog to Digital Converter (ADC) which converts the analog to a digital signal for transmit the data to user.…”
Section: Proposed Design Of Otas For Biosensormentioning
confidence: 99%
“…The transmission is feasible using the Wireless Body Area Network (WBN). [30][31][32] The proposed design methodology of OTAs is done for three different categories (A) Design of Bulk-driven Cardiac OTA (B) Design of Bulk-driven Neural OTA (C) Design of OTA bias circuit and shared segment.…”
Section: Proposed Design Of Otas For Biosensormentioning
confidence: 99%
“…Less number of transistors are needed for designing a two-stage Amplifier 90 Folded cascade OTA permits low supply voltage, still having high output voltage swing but it consumes more power when compared to two stages OTA which generates high output voltage 91 Gifta et al proposed a CMOS based pixel amplifier for biosensor Implantable medical device with high gain. 92 Gracia et al proposed a low power amplifier for biosensor used in IMD for amplifying weak cardiac signal. 93 Later 94 proposed a low voltage amplifier for amplifying multiple biosignals using a single device.…”
Section: Components In Biosensorsmentioning
confidence: 99%