Simone Benatti
Overview
Explore the profile of Simone Benatti including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
27
Citations
147
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Baracat F, Zanghier M, Benin L, Farina D, Indiveri G, Benatti S, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039881
Individual finger forces can be predicted by regression of high-density surface electromyography (sEMG) signals. This is promising for applications in human-machine interfaces, specifically prosthesis control, although the large number of...
2.
Frey S, Lucchini M, Kartsch V, Ingolfsson T, Bernardi A, Segessenmann M, et al.
IEEE Trans Biomed Circuits Syst
. 2024 Oct;
PP.
PMID: 39388333
Recent advancements in head-mounted wearable technology are revolutionizing the field of biopotential measurement, but the integration of these technologies into practical, user-friendly devices remains challenging due to issues with design...
3.
Zanghieri M, Rapa P, Orlandi M, Donati E, Benini L, Benatti S
IEEE Trans Biomed Circuits Syst
. 2024 Jun;
18(4):810-820.
PMID: 38885102
Surface electromyography (sEMG) is a State-of-the-Art (SoA) sensing modality for non-invasive human-machine interfaces for consumer, industrial, and rehabilitation use cases. The main limitation of the current sEMG-driven control policies is...
4.
Orlandi M, Rapa P, Zanghieri M, Frey S, Kartsch V, Benini L, et al.
IEEE Trans Biomed Circuits Syst
. 2024 Jun;
PP.
PMID: 38848226
Spike extraction by blind source separation (BSS) algorithms can successfully extract physiologically meaningful information from the sEMG signal, as they are able to identify motor unit (MU) discharges involved in...
5.
Ingolfsson T, Benatti S, Wang X, Bernini A, Ducouret P, Ryvlin P, et al.
Sci Rep
. 2024 Feb;
14(1):2980.
PMID: 38316856
Electroencephalography (EEG) is widely used to monitor epileptic seizures, and standard clinical practice consists of monitoring patients in dedicated epilepsy monitoring units via video surveillance and cumbersome EEG caps. Such...
6.
Busia P, Cossettini A, Ingolfsson T, Benatti S, Burrello A, Jung V, et al.
IEEE Trans Biomed Circuits Syst
. 2024 Jan;
18(3):608-621.
PMID: 38261487
The long-term, continuous analysis of electroencephalography (EEG) signals on wearable devices to automatically detect seizures in epileptic patients is a high-potential application field for deep neural networks, and specifically for...
7.
Amidei A, Spinsante S, Iadarola G, Benatti S, Tramarin F, Pavan P, et al.
Sensors (Basel)
. 2023 Apr;
23(8).
PMID: 37112345
The majority of car accidents worldwide are caused by drowsy drivers. Therefore, it is important to be able to detect when a driver is starting to feel drowsy in order...
8.
Kartsch V, Kumaravel V, Benatti S, Vallortigara G, Benini L, Farella E, et al.
Sensors (Basel)
. 2022 Dec;
22(24).
PMID: 36560172
Recent studies show that the integrity of core perceptual and cognitive functions may be tested in a short time with Steady-State Visual Evoked Potentials (SSVEP) with low stimulation frequencies, between...
9.
Guermandi M, Cossettini A, Benatti S, Benini L
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:3139-3145.
PMID: 36086587
In recent years, in-ear electroencephalography (EEG) was demonstrated to record signals of similar quality compared to standard scalp-based EEG, and clinical applications of objective hearing threshold estimations have been reported....
10.
Ingolfsson T, Cossettini A, Benatti S, Benini L
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:3723-3728.
PMID: 36086434
In the context of epilepsy monitoring, EEG artifacts are often mistaken for seizures due to their morphological simi-larity in both amplitude and frequency, making seizure detection systems susceptible to higher...