Detectivity: A combination of Hjorth's parameters for condition monitoring of ball bearings

M Cocconcelli, M Strozzi, JCC Molano… - Mechanical Systems and …, 2022 - Elsevier
Hjorth's parameters are statistical time-domain parameters used in signal processing and
introduced by Bo Hjorth in 1970. These parameters are Activity, Mobility and Complexity …

The classification of EEG-based winking signals: a transfer learning and random forest pipeline

JLM Kumar, M Rashid, RM Musa, MAM Razman… - PeerJ, 2021 - peerj.com
Abstract Brain Computer-Interface (BCI) technology plays a considerable role in the control
of rehabilitation or peripheral devices for stroke patients. This is particularly due to their …

A comparison of signal analysis techniques for the diagnostics of the IMS rolling element bearing dataset

D Sacerdoti, M Strozzi, C Secchi - Applied Sciences, 2023 - mdpi.com
In this paper, a comparison of signal analysis techniques for the diagnostics of rolling
element bearings is carried out. Specifically, the comparison is performed in terms of fault …

[PDF][PDF] Analysis of NASA bearing dataset of the University of Cincinnati by means of Hjorth's parameters

J Cavalaglio Camargo Molano, M Strozzi… - Proceedings of the …, 2019 - iris.unimore.it
Hjorth's parameters are statistical time-domain parameters used in signal processing and
introduced by Bo Hjorth in 1970. These parameters are Activity, Mobility and Complexity …

[引用][C] Hybrid EEG-EMG based brain computer interface (BCI) system for real-time robotic arm control

S Abdullah, MA Khan, M Serpelloni… - Advanced Materials …, 2019 - aml.iaamonline.org
Nowadays, bio-signal based BCI systems are widely being used in healthcare systems and
hence proven to be an effective tool in rehabilitation engineering to assist disabled people in …