Data Sheet

Accelerometer (ACC)
Sensor Data Sheet
ACC 18012018
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PLUX – Wireless Biosignals, S.A.
Av. 5 de Outubro, n. 70 – 8.
1050-059 Lisbon, Portugal
[e-mail]
http://biosignalsplux.com/
REV A!
© 2018 PLUX
This information is provided "as is," and we make no express or implied warranties whatsoever with respect to functionality, operability, use,
fitness for a particular purpose, or infringement of rights. We expressly disclaim any liability whatsoever for any direct, indirect, consequential,
incidental or special damages, including, without limitation, lost revenues, lost profits, losses resulting from business interruption or loss of data,
regardless of the form of action or legal theory under which the liability may be asserted, even if advised of the possibility of such damages.
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SPECIFICATIONS
> Axis: 3
> Range: ±3.6G
> Bandwidth: 0-50Hz
> Consumption: ~0.3mA
FEATURES
> Tri-axial sensing
> MEMS technology
> Pre-conditioned analog output
> Small form factor
> Raw data output
> Easy-to-use
APPLICATIONS
> Activity monitoring
> Tilt detection
> Vibration measurement
> Human-Computer interaction
> Robotics & cybernetics
> Biomechanics
> Biomedical devices prototyping
GENERAL DESCRIPTION
Our 3D accelerometer uses Micro Electro-
Mechanical Systems (MEMS®) technology, and
has been especially designed taking into account
the requirements of applications where kinematics
and motion measurements are required. T ogether
with our biosignal acquisition hardware, this
sensor can measure sub-milliG accelerations and
provides the raw magnitude data of each axis as
an independent quantity giving you full control.
Either as independent channels or as a magnitude
vector derived from them, this sensor can be used
to measure physical activity, range of motion,
vibration, shocks, tilt, among many others.
Applications of this sensor include physical activity
monitoring, posture assessment, vibration
analysis, and evaluation of tremor in Parkinson
patients. Examples:
Fig. 1. Miniaturized form factor and independent analog
output ports for maximum flexibility.
Fig. 2. Typical raw ACC data (acquired with biosignals).