Name
Abstract | ||
|---|---|---|
Monitoring blood pressure during sleep is essential to detect nocturnal hypertension. However, measuring the blood pressure using a cuff during sleep without awaking the sleeping person by the squeezing of the cuff is difficult. Therefore, we propose an unrestrained diastolic blood pressure estimation method that uses heartbeat during sleep. We defined 12 features on the basis of measured heartbeat signals and applied the 12 features in a multiple regression analysis. Then, we estimated blood pressure during sleep. To validate our proposed method, we conducted a validity experiment. As a result, the mean error was −0.38 mmHg; standard deviation, 6.50 mmHg; and correlation coefficient, 0.70. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/APSIPA.2018.8659557 | 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) |
Keywords | Field | DocType |
Blood pressure,Heart beat,Biomedical monitoring,Standards,Correlation coefficient,Estimation,Hypertension | Correlation coefficient,Heartbeat,Heart beat,Internal medicine,Cuff,Cardiology,Mean squared error,Blood pressure,Monitoring blood pressure,Standard deviation,Medicine | Conference |
ISSN | ISBN | Citations |
2309-9402 | 978-9-8814-7685-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomomasa Yamasaki | 1 | 0 | 0.34 |
| Hikaru Iwasaki | 2 | 0 | 0.34 |
| Takashi Kaburagi | 3 | 0 | 0.68 |
| yosuke kurihara | 4 | 1 | 3.14 |