Name
Abstract | ||
|---|---|---|
General movement assessment is an accurate clinical method for predicting severe neurological dysfunctions such as cerebral palsy in young infants. Development of a computer-based diagnosis support system based on the General Movement Assessment method is dependent on features being effectively elicited from a General Movement expert. We present ENIGMA, a software tool for General Movement knowledge elicitation and modeling. Video and motion data were collected in 15 recordings containing both normal and abnormal general movements from the fidgety period of infant development. ENIGMA shows video in synchrony with different visualized features of recorded motion data. Movement patterns are modeled through an iterative and incremental process, where the General Movement expert is guiding the modeling process through comparing movement patterns observed in video with corresponding visual patterns observed in visualized features, and giving feedback to the knowledge engineer. Three visualized features were developed for exploring the so-called fidgety movements. The interactive work procedure introduced by ENIGMA enabled explicit motion features to be defined based on unconscious expert knowledge. Normal fidgety movements were found to be partly characterized by periodic patterns. Our results demonstrate that ENIGMA is a capable tool for General Movement expert knowledge elicitation. It facilitates the modeling process and provides a basis for detailed discussions. Clinical and technical concepts are communicated well through visual notions. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.eswa.2007.05.024 | Expert Syst. Appl. |
Keywords | Field | DocType |
modeling process,abnormal general movement,movement pattern,visualized feature,expert knowledge modeling,general movement expert knowledge,enhanced interactive general movement,general movement expert,general movement assessment method,general movement knowledge elicitation,visualized features,knowledge engineer,unconscious expert knowledge,general movements,signal visualization,knowledge engineering | Software tool,Movement assessment,Fidgety movements,Computer science,General movements,Support system,Knowledge engineer,Artificial intelligence,Knowledge elicitation,Visual patterns,Machine learning | Journal |
Volume | Issue | ISSN |
34 | 4 | Expert Systems With Applications |
Citations | PageRank | References |
2 | 0.52 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. R. Berge | 1 | 2 | 0.52 |
| L. Adde | 2 | 12 | 1.89 |
| G. Espinosa | 3 | 2 | 0.52 |
| Ø. Stavdahl | 4 | 108 | 8.16 |