Attention Deficit Hyperactivity Disorder Detection – from Psychological Checklists to Mobile Solutions
Artykuł w czasopiśmie
MNiSW
100
Lista 2021
| Status: | |
| Autorzy: | Żyła Kamil |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2019 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 60 |
| Strony: | 85 - 100 |
| Scopus® Cytowania: | 2 |
| Bazy: | Scopus | ERIH | CEJSH | Index Copernicus | Microsoft Academic |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | Po opublikowaniu |
| Data opublikowania w OA: | 8 sierpnia 2019 |
| Abstrakty: | angielski |
| The notion of Attention Deficit Hyperactivity Disorder (ADHD) may have its origins in 1763, when Scottish physician Sir Arthur Crichton observed people who could be easily distracted to a degree approaching the nature of delirium. Since then, the notion of ADHD matured and aroused controversy concerning whether it is a real illness and the motives behind particular methods of its treatments. Despite the controversy, ADHD is well established as a research subject and a frequently diagnosed disorder. Thus, the aim of this paper is not to deal with controversies but rather to show the evolution of methods used for the detection of this disorder. Literature analysis revealed that those methods varied from classical psychological tests/questionnaires to analyses of: eye-motion, micro-motion, brain activity, and behavioral patterns in virtual reality. The main conclusion is that the above methods tend to be heavily computer-aided and that the future belongs to mobile solutions incorporated into complex e-health systems. |
