Ultralow Power Three-Axis MEMS Accelerometer Designed for Healthcare and Industrial Applications

9 May 2022 - 0 Comments

Analog Devices, Inc. has announced a three-axis MEMS accelerometer designed for a wide range of healthcare and industrial applications, including vital signs monitoring, hearing aids, and motion-enabled metering devices. The new ADXL367 accelerometer improves power consumption by two times versus a previous generation of the device (ADXL362) while improving noise performance by up to over 30 percent. Moreover, this new accelerometer also provides extended field time that maximizes battery life and reduces maintenance frequency and cost.

The ADXL367 accelerometer has many features to enable true system-level power reduction. It includes a deep multimode output first-in, first-out (FIFO), a built-in micropower temperature sensor, an internal analog-to-digital converter (ADC) for synchronous conversion of an additional analog input with interrupt capability, single-tap and double-tap detection that can operate at any output data rate with only an added 35 nA of current, and a state machine to prevent false triggering.

The ADXL367 accelerometer consumes only 0.88 µA at a 100 Hz output data rate and 180 nA when in motion-triggered wake-up mode. Unlike accelerometers that use power duty cycling to achieve low power consumption, the ADXL367 does not alias input signals by undersampling but rather samples the full bandwidth of the sensor at all data rates.

Features

200 nW motion detection in wakeup mode, and 970 nW in measurement.
Deep multimode output FIFO, a built-in micropower temperature sensor, an internal ADC for synchronous conversion of an additional analog input, single/double tap detection and state machine to prevent a false triggering.
Functions with supply voltages as small as 1.1V allowing for single cell battery operation without external boost converters.
Provisions for external control of the sampling time and/or an external clock.
Rich digital features, such as single and double tap, free fall, and activity detection, reduce computation demand for the host microprocessor, and further improve system power consumption.