Name
Abstract | ||
|---|---|---|
This paper introduces a new method, bed actigraphy (BACT) for user-friendly sleep-wake monitoring. BACT provides a non-intrusive
acquisition of activity data, and in particular does not require that sensors be attached to the subject’s body. The system
consists of four load-sensing cells supporting the bed, an A/D converter, and a microcontroller with appropriate software.
The performance of BACT was compared to that of standard polysomnography (PSG) recordings and wrist-worn actigraphy (ACT).
Ten normal volunteers underwent overnight PSG recordings and were examined simultaneously with BACT and ACT. An automatic
scoring algorithm scored each 30-s epoch of the BACT recordings for either ‘Wake’ or ‘Sleep.’ A sleep specialist manually
scored the PSG recordings, and the results were divided into ‘Wake’ and ‘Sleep’ categories. The three methods showed a significant
correlation when compared with in the contingency test. The mean epoch-by-epoch agreements between the BACT and PSG, ACT and
PSG, and BACT and ACT recordings were 95.2, 92.9, and 94.3%, respectively. The mean absolute differences in sleep percentage
(SP) between them were 1.8 � 0.82, 3.4 � 1.45, and 1.9 � 1.16 %, respectively. BACT differentiation of the ‘Wake’ and ‘Sleep’
stages proved to be sufficiently robust, and its results were comparable to PSG analysis. This finding supports the experimental
and clinical value of bed-activity monitoring during sleep. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11517-006-0134-1 | Med. Biol. Engineering and Computing |
Keywords | Field | DocType |
mean absolute difference,movement | Computer vision,Actigraphy,Monitoring system,Simulation,Artificial intelligence,Audiology,Medicine,Sleep Stages,Polysomnography | Journal |
Volume | Issue | ISSN |
45 | 1 | 0140-0118 |
Citations | PageRank | References |
14 | 2.24 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Byoung Hoon Choi | 1 | 14 | 2.24 |
| Jin Woo Seo | 2 | 14 | 2.24 |
| Jong Min Choi | 3 | 14 | 5.96 |
| Hong Bum Shin | 4 | 14 | 2.24 |
| Joo-Young Lee | 5 | 77 | 12.36 |
| Do-Un Jeong | 6 | 121 | 23.79 |
| Kwang Suk Park | 7 | 266 | 46.43 |