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Adxl362

Manufactured by Analog Devices
Sourced in United States

The ADXL362 is a low-power, 3-axis digital accelerometer with a measurement range of ±2 g, ±4 g, or ±8 g. It features an ultra-low-power design, programmable resolution, and embedded functions for motion detection and threshold detection.

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4 protocols using adxl362

1

Validation of MOX Activity Logger

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The MOX Activity Logger (MOX; Maastricht Instruments, Maastricht, NL) (Maastricht Instruments BVa, 2020 ) contains a tri-axial accelerometer (ADXL362, Analog Devices, Norwood, MA, US). This small, light-weight, waterproof device (35 mm × 35 mm × 10 mm, 11 g) measures raw acceleration data (±8 g) in three orthogonal sensor axes (X, Y, and Z) at a 25 Hz sampling rate. The raw data is stored directly on the internal memory. The MOX has storage capacity and battery life for continuous measurements up to 7 days. Device configuration, data transfer and charging of the device are possible via an USB connection. Data analysis is performed offline. The MOX was worn in the front trouser pocket, attached with a clip, to secure a fixed orientation of the device with respect to axial mobility of the upper leg. This wear location is shown in Figure 1.
Two commonly used activity trackers, the activPAL (activPAL3, PAL Technologies Ltd, Glasgow, Scotland, UK) and the Fitbit Alta HR (Fitbit; Fitbit Inc., San Fransisco, CA, US) were used as reference for a more relevant interpretation of the validation results. Based on the recommendations of the manufactures the activPAL is worn on the dominant leg ten centimetres above the patella (activPAL) and the Fitbit is worn on the non-dominant wrist (Fitbit, 2020a ).
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2

Tri-Axial Accelerometer for Physical Activity Monitoring

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The PA levels were assessed with the MOX activity monitor (MOX; Maastricht Instruments B.V., the Netherlands (Figure 1)). The device contained a tri-axial accelerometer sensor (ADXL362; Analog Devices, Norwood, MA, USA) in a small waterproof housing (35 × 35 × 10 mm, 11 g). Raw acceleration data (±8 g) were measured in three orthogonal sensor axes (X, Y and Z) at a 25 Hz sampling rate. The accelerometer was factory calibrated against gravity for each axis. The raw acceleration data were converted to a PA classification using a previously described embedded algorithm [34 (link)]. After sensor noise reduction, the data were segmented in to one-second long windows using a fixed non-overlapping sliding window. Based on the amount of activity, each window was classified as dynamic or static. For the static windows, the sensor orientation was assessed. Based on a cut-off value of 0.8 g the static windows were classified as standing or sedentary. Each minute the classified results were sent to the Hospital Fit smartphone application via a Bluetooth protocol.
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3

Tri-Axial Accelerometer for Physical Activity Tracking

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The MOX Activity Logger (MOX; Maastricht Instruments, Maastricht, The Netherlands) is the successor of the DAAFB [5 ,24 (link)] and CAM [7 (link),22 (link),25 (link)] activity loggers. The device contains a tri-axial accelerometer sensor (ADXL362; Analog Devices, Norwood, MA, USA) in a small waterproof housing (35 × 35 × 10 mm, 11 g) [26 ]. The MOX uses a custom-made, double-sided, waterproof patch for body attachment. Raw acceleration data (±8 g) is measured in three orthogonal sensor axes (X, Y and Z) at a 25 Hz sampling rate and stored directly on the internal memory. The MOX is capable of measuring and storing data continuously up to seven days. Data analysis is performed offline. The MOX has been successfully used for physical activity monitoring in colorectal cancer survivors and COPD patients [3 (link),27 (link)] worn on an upper leg location.
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4

Wearable Sensor for Automated Dietary Monitoring

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In this study, a novel wearable sensor system (Automatic Ingestion Monitor, AIM-2) was used. AIM-2 consists of a sensor module which housed a miniature 5 Megapixel camera with 120- degree wide-angle gaze-aligned lens, a low-power 3D accelerometer (ADXL362 from Analog Devices, Norwood, MA, USA) and a bending sensor (SpectraSymbol 2.2” flex sensor). The sensor module was connected to the frame of eyeglasses by a heat-shrink tube (Fig. 1) in a location such that the maximum curvature of the sensor touched the skin over the temporalis muscle where the strongest muscle contraction during chewing was palpated. The camera continuously captured images at a rate of one image per 15-second interval as a way to validate sensor-based food intake detection against captured images. The flex sensor was used to capture the chewing events. To protect the sensor from perspiration, commercially available polyurethane coating was used over the top layer of the flex sensor. Data from the accelerometer and flex sensor were sampled at 128 Hz. All collected sensor signals and captured images were stored on an SD card and processed off-line in MATLAB (Mathworks Inc., Natick, MA, USA) for algorithm development and validation.
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