The ADuCM350 incorporates a 16-bit analogue front-end (AFE), which includes a configurable multi-sensor switch matrix, hardware waveform generator and discrete Fourier transform (DFT) engine.
To make accurate medical measurements at lower cost, the chip uses passive complex impedance sensing for baseline detection and detailed information of physiological, biological and electrochemical reactions, at levels previously unattainable.
The fusion of passive and active sensors provides an additional level of signal measurement accuracy, and environmentally robust capacitance-to-digital technology on-chip supports new use cases such as skin electrode detection and next-generation electrochemical test strip technologies.
“The ADuCM350 meter-on-a-chip supports a wide range of portable healthcare applications ranging from wearable health monitoring devices, such as smart watches and sophisticated pedometers, to point-of-care diagnostics that shorten hospital stays and make possible high quality monitoring in the home,” said Patrick O’Doherty, vice-president, healthcare group, Analog Devices.
On-chip processing comes from a 16MHz ARM Cortex-M3 processor, with 384kbyte flash memory, 16kbyte EEPROM and 32kbyte SRAM.
The ADuCM350 is designed to be used in monitoring devices powered by a single coin-cell battery, and features a precision AFE with a 16-bit accurate, 160-kSPS A/D converter, +/-0.2% accurate voltage reference, and a 12-bit D/A converter.
The chip's multi-sensor capability allows it to be used to measure calorie burn, for example, by combining galvanic skin response for heart rate and respiration, with an ultra-low-power 3-axis MEMS accelerometer for altitude and motion detection.