Name
Title | ||
|---|---|---|
Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare. |
Abstract | ||
|---|---|---|
Personalized diagnosis and therapy requires monitoring patient activity using various body sensors. Sensor data generated during personalized exercises or tasks may be too specific or inadequate to be evaluated using supervised methods such as classification. We propose multidimensional motif (MDM) discovery as a means for patient activity monitoring, since such motifs can capture repeating patter... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTSP.2016.2543679 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Time series analysis,Sensors,Data mining,Real-time systems,Medical treatment,Monitoring | Data mining,Time series,Computer science,Motif (music),Hash function,Body sensors,Wearable technology,Limiting,Multiple time dimensions,Personalized medicine | Journal |
Volume | Issue | ISSN |
10 | 5 | 1932-4553 |
Citations | PageRank | References |
8 | 0.72 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arvind Balasubramanian | 1 | 21 | 2.69 |
| Jun Wang | 2 | 144 | 15.26 |
| Balakrishnan Prabhakaran | 3 | 550 | 73.25 |