Matthias Stevens
Biographic Data
| ID | 6778096 |
|---|---|
| NAME | Matthias Stevens |
| GIVEN NAMES | Matthias |
| FAMILY NAME | Stevens |
| SIGNATURE | STEVENS M |
| AFFILIATIONS | Vrije Universiteit Brussel |
| ORCID | 0000-0001-6636-0672 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 1 |
M-Resist, a modular intervention programme addressed to patients with treatment-resistant schizoprenia
In European Union, between 0.2 and 2.6% of the population suffer from psychotic disorders (Wittchen et al., 2011). The largest group is patients with schizophrenia, and around 40% can be considered resistant to pharmacological treatment (Essock et al., 1996; Kennedy et al., 2014). Standard intervention in patients with treatment-resistant schizophrenia (TRS) is difficult due to the persistence of positive symptoms, extensive periods of hospitaliz…
Participatory noise pollution monitoring using mobile phones
Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel app roach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to meas…
Participatory noise pollution monitoring using mobile phones
Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel app roach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to meas…
Participatory noise pollution monitoring using mobile phones
Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel app roach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to meas…
M-Resist, a modular intervention programme addressed to patients with treatment-resistant schizoprenia
In European Union, between 0.2 and 2.6% of the population suffer from psychotic disorders (Wittchen et al., 2011). The largest group is patients with schizophrenia, and around 40% can be considered resistant to pharmacological treatment (Essock et al., 1996; Kennedy et al., 2014). Standard intervention in patients with treatment-resistant schizophrenia (TRS) is difficult due to the persistence of positive symptoms, extensive periods of hospitaliz…
Acoustics (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Citizen journalism (1 works) · Citizen science (1 works) · Computer Science (1 works) · Computer security (1 works) · Data science (1 works) · Digital Mental Health Interventions (1 works) · Disease (1 works)