Alessandro Mengarelli

Dr. Alessandro Mengarelli

Università Politecnica delle Marche, Department of Information Engineering
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 April 2015 in Journal of Electromyography and Kinesiology
Verified
Journal Article
Closed access
Francesco Di NardoFrancesco Di Nardo
Francesco Di Nardo
Alessandro MengarelliAlessandro Mengarelli
Alessandro Mengarelli
EMElvira Maranesi
Elvira Maranesi
Laura BurattiniLaura Burattini
Laura Burattini
SFSandro Fioretti
Sandro Fioretti

1 January 2017 in Gait & Posture
Verified
Journal Article
Closed access
ASAnnachiara Strazza
Annachiara Strazza
Alessandro MengarelliAlessandro Mengarelli
Alessandro Mengarelli
Sandro FiorettiSandro Fioretti
Sandro Fioretti
Laura BurattiniLaura Burattini
Laura Burattini
Valentina AgostiniValentina Agostini
Valentina Agostini
Francesco Di NardoFrancesco Di Nardo
Francesco Di Nardo

1 May 2015 in Biomedical Signal Processing and Control
Verified
Journal Article
Closed access
Francesco Di NardoFrancesco Di Nardo
Francesco Di Nardo
Alessandro MengarelliAlessandro Mengarelli
Alessandro Mengarelli
EMElvira Maranesi
Elvira Maranesi
Laura BurattiniLaura Burattini
Laura Burattini
SFSandro Fioretti
Sandro Fioretti

27 December 2019 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
SCStefano Cardarelli
Stefano Cardarelli
Alessandro MengarelliAlessandro Mengarelli
Alessandro Mengarelli
Andrea TigriniAndrea Tigrini
Andrea Tigrini
ASAnnachiara Strazza
Annachiara Strazza
Francesco Di NardoFrancesco Di Nardo
Francesco Di Nardo
Federica VerdiniFederica Verdini
Federica Verdini
In this paper, a self-contained procedure to estimate the vertical, medial-lateral, and anterior-posterior displacement of a single sacrum-worn inertial measurement unit (IMU) is presented, which can be related to the human body center of mass (CoM) displacement during treadmill walking through an adaptation of the sacral marker method. Further, a magnetometer-free custom sensor-fusion algorithm for orientation estimation is proposed alongside a practical alignment procedure to refer relative IMU orientation estimation to a ground-fixed reference frame. Twelve healthy subjects performed two trials of treadmill walking at 3, 4 and 5 km/h for 150 s, with a sacrum-worn IMU. Orientation and displacement estimations were then compared with those obtained from an optoelectronic measurement system. Roll, pitch and yaw angles showed root mean square errors (RMSE) lower than 2 deg for walking trials at 3, 4 and 5 km/h, with Pearson’s correlation coefficient higher than 0.90 for each angle. Displacement accuracy was evaluated in terms of peak-to-trough distances and RMSE. Mean errors resulted lower than 1 mm for each axis of interest and for each gait speed, with RMSE not higher than 2.5 mm. The proposed off-line algorithm can be used in low-budget and infrastructure-free environments, to achieve reliable CoM displacement estimation during cyclic activities such as treadmill walking.

1 October 2018 in Journal of Electromyography and Kinesiology
Verified
Journal Article
Closed access
Alessandro MengarelliAlessandro Mengarelli
Alessandro Mengarelli
AGAndrea Gentili
Andrea Gentili
ASAnnachiara Strazza
Annachiara Strazza
Laura BurattiniLaura Burattini
Laura Burattini
SFSandro Fioretti
Sandro Fioretti
Francesco Di NardoFrancesco Di Nardo
Francesco Di Nardo

1 March 2017 in Biomedical Signal Processing and Control
Verified
Journal Article
Closed access
Alessandro MengarelliAlessandro Mengarelli
Alessandro Mengarelli
EMElvira Maranesi
Elvira Maranesi
LBLaura Burattini
Laura Burattini
SFSandro Fioretti
Sandro Fioretti
Francesco Di NardoFrancesco Di Nardo
Francesco Di Nardo