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AnalogMedical Analog Design

High-Fidelity Analog-to-Digital Converters (ADCs) in Medical Devices

2026-02-15 Technical Team

Precision at the Limits of Physics

Medical diagnostic equipment — from MRI scanners to electrocardiographs (ECGs) to blood glucose monitors — depends on analog-to-digital converters (ADCs) to translate physiological signals into digital data for processing, display, and storage. These medical ADCs must achieve levels of precision, linearity, and noise performance that exceed virtually every other ADC application.

At INDNIX Technology, our analog design and fabrication teams create ADCs specifically optimized for medical instrumentation, achieving noise floors below 1 microvolt RMS and linearity errors below 1 part per million.

Medical Signal Characteristics

Medical signals span an enormous dynamic range and bandwidth:

Electrocardiogram (ECG): Signal amplitudes of 0.1 to 5 millivolts with bandwidth from 0.05 Hz to 150 Hz. The ADC must resolve micro-volt level features (P-wave morphology, ST-segment elevation) in the presence of much larger QRS complexes.

Electroencephalogram (EEG): Signal amplitudes of 1 to 100 microvolts — 100 times smaller than ECG. The ADC must achieve noise floors below 0.3 microvolts RMS to faithfully capture neural activity.

Pulse Oximetry: The AC component of the photoplethysmographic signal is only 1 to 5 percent of the DC signal, requiring ADC dynamic range exceeding 80 dB to resolve the pulsatile component without clipping on the DC baseline.

MRI Receivers: MRI receivers process signals across a dynamic range exceeding 100 dB with bandwidths of 500 kHz to 2 MHz. Only delta-sigma ADCs with 16-bit or higher resolution can capture the full dynamic range of the MRI signal.

ADC Architecture Selection

Delta-Sigma (ΔΣ) ADCs

Delta-sigma ADCs dominate medical applications because they inherently achieve the highest resolution (up to 32 bits) with excellent linearity. The oversampling and noise-shaping techniques intrinsic to delta-sigma architecture push quantization noise to frequencies outside the signal bandwidth, where it is removed by the digital decimation filter.

Our medical-grade delta-sigma ADCs achieve signal-to-noise ratios (SNR) exceeding 120 dB (20-bit effective resolution) at sampling rates up to 1 kHz — ideal for physiological monitoring applications.

Successive Approximation Register (SAR) ADCs

For applications requiring higher sample rates with moderate resolution (12 to 18 bits), SAR ADCs offer the best power-to-performance ratio. Medical ultrasound systems use banks of SAR ADCs (one per transducer element) sampling at 40 to 80 MSPS with 14-bit resolution.

Our SAR ADC designs achieve figure-of-merit (FoM) below 10 femtojoules per conversion step, enabling multi-channel ultrasound front-ends that operate within the thermal budget of handheld devices.

Critical Design Challenges

Input-Referred Noise

The ADC's input-referred noise determines the smallest signal it can resolve. For ECG applications requiring micro-volt resolution, the total integrated noise (from DC to the Nyquist frequency) must be below 1 microvolt RMS. This demands:

  • Low-noise input buffer amplifiers with 1/f noise corner frequencies below 1 Hz
  • Chopper stabilization to eliminate op-amp offset drift
  • Careful layout to minimize digital switching noise coupling to the analog input
  • On-chip reference voltage sources with noise density below 10 nV/√Hz

Integral Non-Linearity (INL)

Medical ADCs require INL errors below ±1 LSB at 20-bit resolution — meaning the maximum deviation from an ideal transfer function must be less than 1 part per million of full scale. Achieving this requires precision capacitor matching in the DAC (for SAR ADCs) or precision integrator design (for delta-sigma ADCs).

Our process technology supports metal-insulator-metal (MIM) capacitors with matching coefficients below 0.05 percent per square root of area, enabling the capacitor DAC precision required for 20-bit INL.

Power Supply Rejection

Medical devices often share power supplies with digital processors and wireless radios that generate significant supply noise. The ADC must reject this noise to prevent it from corrupting the converted signal. Our medical ADCs achieve power supply rejection ratios (PSRR) exceeding 100 dB at DC and 80 dB at 1 MHz through fully differential signal paths and on-chip supply regulation.

Regulatory Considerations

Medical ADCs are components within devices regulated by the FDA (21 CFR Part 820), EU MDR, and other regulatory bodies. While the ADC IC itself is not directly regulated, its performance characteristics must be documented and verified as part of the medical device design history file (DHF).

We provide comprehensive characterization data — including noise, linearity, drift, and temperature dependence measurements — that device manufacturers can include directly in their regulatory submissions.

Fabrication Technology

Medical-grade ADCs are fabricated on specialized analog/mixed-signal process nodes (typically 180nm to 65nm) that prioritize analog performance over digital density:

  • Low-noise NMOS and PMOS transistors with 1/f noise corner frequencies below 10 kHz
  • High-resistivity polysilicon resistors with temperature coefficients below 50 ppm/°C
  • Triple-well isolation to prevent substrate noise coupling between digital and analog sections
  • Precision MIM capacitors with voltage coefficients below 50 ppm/V

Conclusion

High-fidelity ADCs are the critical link between the analog world of human physiology and the digital world of medical diagnostics and monitoring. At INDNIX Technology, our analog design expertise and precision fabrication capabilities deliver ADCs that meet the extraordinary noise, linearity, and reliability demands of medical instrumentation — helping clinicians make better diagnostic decisions based on the most faithful possible representation of their patients' physiological signals.

Tags

ADCMedical DevicesPrecisionLow NoiseSignal Acquisition