Mathieu Baijot

Mr. Mathieu Baijot

MNS, Department of Electrical Engineering (ESAT), University of Leuven, 3001 Leuven, Belgium
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2020 in Sensors
Verified
Journal Article
Open access
PDF file
CWChen Wang
Chen Wang
Fang ChenFang Chen
Fang Chen
Yuan WangYuan Wang
Yuan Wang
SSSina Sadeghpour
Sina Sadeghpour
CWChenxi Wang
Chenxi Wang
Michael KraftMichael Kraft
Michael Kraft
This paper reviews the research and development of micromachined accelerometers with a noise floor lower than 1 µg/√Hz. Firstly, the basic working principle of micromachined accelerometers is introduced. Then, different methods of reducing the noise floor of micromachined accelerometers are analyzed. Different types of micromachined accelerometers with a noise floor below 1 µg/√Hz are discussed. Such sensors can mainly be categorized into: (i) micromachined accelerometers with a low spring constant; (ii) with a large proof mass; (iii) with a high quality factor; (iv) with a low noise interface circuit; (v) with sensing schemes leading to a high scale factor. Finally, the characteristics of various micromachined accelerometers and their trends are discussed and investigated.

1 August 2018 in Sensors and Actuators A: Physical
Verified
Journal Article
Closed access
YWYuan Wang
Yuan Wang
Chun ZhaoChun Zhao
Chun Zhao
CWChen Wang
Chen Wang
DCDelphine Cerica
Delphine Cerica
MBMathieu Baijot
Mathieu Baijot
MKMichael Kraft
Michael Kraft

23 September 2021 in Sensors
Verified
Journal Article
Open access
PDF file
MBMathieu Baijot
Mathieu Baijot
RPRobert Puers
Robert Puers
Michael KraftMichael Kraft
Michael Kraft
Due to a sedentary lifestyle, the amount of people suffering from musculoskeletal back diseases has increased over the last few decades. To monitor and cure these disabilities, sensors able to monitor the patient for long-term measurement during daily life and able to provide real-time feedback are required. There are only a few wearable systems that are capable to acquire muscle activity (sEMG) and posture at the same time. Moreover, previously reported systems do not target back sensor and typically comprise bulky uncomfortable solutions. In this paper, we present a new wearable sensor network that is designed to measure muscle activity and posture specialized for back measurement. Special care was taken to propose a discrete and comfortable solution. The prototype only measures 3.1 mm in thickness on the spine, making this sensor system the thinnest and lightest one in the literature to our best knowledge. After testing, it was shown that the sensor system is able to acquire two surface electromyography signals concurrently, to gather acceleration and rotation speed from the patient’s lower back, and to transmit data to a computer or a smartphone via serial communication or Bluetooth low energy for a few hours for later processing and analysis.

11 August 2017 in Proceedings
Verified
Conference Paper
Open access
PDF file
YWyuan Wang
yuan Wang
Chun ZhaoChun Zhao
Chun Zhao
CWChen Wang
Chen Wang
DCDelphine Cerica
Delphine Cerica
MBMathieu Baijot
Mathieu Baijot
Michael KraftMichael Kraft
Michael Kraft
In this paper, for the first time, the mass sensitivity of a 3-DoF mode localized electrostatic coupled resonator was characterized under atmospheric pressure. A reversible method was used in which nanoparticles are added on and removed from one resonator of the 3-DOF coupled resonator system. Besides, a comparison of three mass sensitivity characterization methods was carried out: resonance frequency shift, amplitude change and resonance vibration amplitude ratio. The results show that a 3-DOF mode localized coupled resonator has potential to be employed for biosensing applications.