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Michele Crabolu
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Upper limb joint kinematics using wearable magnetic and inertial measurement units: an anatomical calibration procedure based on bony landmark identification
P Picerno, P Caliandro, C Iacovelli, C Simbolotti, M Crabolu, D Pani, ...
Scientific reports 9 (1), 14449, 2019
502019
In vivo estimation of the shoulder joint center of rotation using magneto‑inertial sensors: MRI‑based accuracy and repeatability assessment
M Crabolu, D Pani, L Raffo, M Conti, P Crivelli
BioMedical Engineering OnLine, 2017
382017
Design and performance evaluation of an ultralow-power smart IoT device with embedded TinyML for asset activity monitoring
M Giordano, N Baumann, M Crabolu, R Fischer, G Bellusci, M Magno
IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022
372022
Home tele-rehabilitation for rheumatic patients: impact and satisfaction of care analysis
D Pani, M Piga, G Barabino, M Crabolu, S Uras, A Mathieu, L Raffo
Journal of telemedicine and telecare, 1357633X16632950, 2016
252016
Estimation of the center of rotation using wearable magneto-inertial sensors
M Crabolu, D Pani, L Raffo, A Cereatti
Journal of biomechanics 49 (16), 3928-3933, 2016
232016
Smarttag: An ultra low power asset tracking and usage analysis iot device with embedded ml capabilities
M Giordano, R Fischer, M Crabolu, G Bellusci, M Magno
2021 IEEE Sensors Applications Symposium (SAS), 1-6, 2021
122021
Functional estimation of bony segment lengths using magneto-inertial sensing: Application to the humerus
M Crabolu, D Pani, L Raffo, M Conti, A Cereatti
PloS one 13 (9), e0203861, 2018
92018
Evaluation of the accuracy in the determination of the center of rotation by magneto-inertial sensors
M Crabolu, D Pani, A Cereatti
2016 IEEE Sensors Applications Symposium (SAS), 1-5, 2016
82016
Electrically integrated miniature motion tracking module with multiple external GNSS receiver support
M Crabolu, M Giuberti, G Bellusci
2018 DGON Inertial Sensors and Systems (ISS), 1-13, 2018
32018
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices
M Giordano, S Cortesi, PV Mekikis, M Crabolu, G Bellusci, M Magno
Proceedings of the 11th International Workshop on Energy Harvesting & Energy …, 2023
22023
Optimizing Iot-Based Asset and Utilization Tracking: Efficient Activity Classification With Minirocket on Resource-Constrained Devices
M Giordano, S Cortesi, M Crabolu, L Pedrollo, G Bellusci, T Bendinelli, ...
2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 1-8, 2023
22023
Humerus length estimation using a magneto-inertial sensor
M Crabolu, D Pani, L Raffo, A Cereatti
Gait & Posture 57 (3), 20-21, 2017
12017
A Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices
S Cortesi, M Crabolu, PV Mekikis, G Bellusci, C Vogt, M Magno
IEEE Internet of Things Journal, 2024
2024
Hazard management system and hazard sensor unit
I Baumgart, M Crabolu, G Bellusci, X Hanslmeier, E Sever
US Patent App. 18/289,106, 2024
2024
Assessing Reach-to-Grasp Movements in the Stroke Unit: Validity of an Inertial Sensor-Based Approach
P Picerno, P Caliandro, C Iacovelli, C Simbolotti, M Crabolu, D Pani, ...
Converging Clinical and Engineering Research on Neurorehabilitation III …, 2019
2019
Calibration parameter estimation algorithms for human kinematic models using magneto-inertial sensors.
M Crabolu
Universitą degli Studi di Genova, 2018
2018
Anatomical calibration of inertial and magnetic sensors for estimating upper limb kinematics
P Picerno, P Caliandro, C Simbolotti, C Iacovelli, M Crabolu, D Pani, ...
Gait & Posture 57 (3), 28-29, 2017
2017
Evaluation of the center of rotation with MIMUs: impact of the experimental conditions
M Crabolu, D Pani, L Raffo, A Cereatti
Quinto Congresso Nazionale di Bioingegneria, GNB2016, 257-259, 2016
2016
In vivo identification of the shoulder joint centre of rotation using a magneto-inertial sensor
M Crabolu, D Pani, L Raffo, M Conti, P Crivelli, A Cereatti
Gait & Posture 49 (1), S14-S14, 2016
2016
surgical plan and objectives after review of the laboratory data were used as a measure of the influence exerted by movement analysis at different levels of the UL (elbow …
M Crabolu, D Pani, L Raffo, M Conti, P Crivelli, A Cereatti
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