Denoising MEMS accelerometer sensors based on L2‐norm total variation algorithm

Abstract

A method for denoising accelerometer data based on the L2-norm total variation (LTV) algorithm is presented. In order to collect accelerometer data, a wireless accelerometer sensor was developed that is directly connected to a central node. By benefiting from the LTV algorithm, the obtained signals from the accelerometer are denoised. The proposed method is tested by denoising in different accelerometer signals and the results are evaluated by signal-to-noise ratio and power spectral density functions of the signals. The obtained results reveal that noise reduction has been implemented satisfactorily. Hence, the measurement accuracy of accelerometer signals for the proposed method have improved ∼4-10% than other the three low-pass filters including Savitzky-Golay, equiripple-pass-band and Butterworth.

Developed wireless sensor network to supervise the essential parameters in greenhouses for internet of things applications

“…As it is shown in Fig. 3 b , similar to a typical wireless sensor [24–27], the sensor nodes consist of a microcontroller, a transceiver as well as temperature, humidity, CO, , light, and passive infrared (PIR) sensors. The microcontroller is an Atmega8 AVR series that processes the obtained data.…”

Cardiorespiratory system monitoring using a developed acoustic sensor

“…1. The wireless acoustic sensor, as a typical wireless sensor [24,25], consists of two capacitor microphones, an amplifier, a transceiver (NRF-24) and a processor (AVR 32-bit microcontrollers) as shown in Fig. 2c.…”

Vital Signs Monitoring based on a Developed Accelerometer Sensor for Sporty Purposes

“…The chest makes variations during the heart and respiration activities that the vibration can be recorded by placing a microelectromechanical (MEMS) accelerometer on the sternum while the patient lies supine [15][16]. The MEMS accelerometer sensor can accurately measure the acceleration of three-axis length, width, and height [17]. Indeed, the SCG systems can be employed to measure the produced accelerations of the chest wall by a myocardial movement [14].…”