**1.3 Application to other areas**

A multi-channel F-SAS sensor system has been developed and done field test in a hotel, full medical check-up and clinical test in pediatrics. **Figure 10** shows the

**Figure 9.**

apnea, hypopnea, body motion and rolling over independently from the PSG analysis. The example respiration waveforms for the F-SAS sensor and PSG are shown in **Figure 7** exhibits good consistency. The correlation coefficient between the AHI from the PSG and the RDI from the F-SAS was 0.71 in the region of AHI from 0 to 85.9 as shown in **Figure 8**. For AHI values from 0 to 20, the correlation coefficient was much better 0.89. In contrast, it was 0.57 for AHI values from 20 to 85.9. This means that the F-SAS sensor is more accurate and sensitive for milder degrees of SAS. The RDI from the F-SAS sensor was smaller than the AHI from the PSG for moderate and severe degrees of SAS because of the bigger difference between the sleeping time and the time in bed. This means that the F-SAS sensor is better suited for screening than for diagnosis. In fact, in a separate study of at-home use, potential SAS sufferers from among 19 ordinary people were identified by using this

*Sino-Nasal and Olfactory System Disorders*

*Example respiration waveforms for F-SAS sensor and PSG [3] from 0 to 85.9 (R = 0.71).*

*Correlation between AHI by PSG and RDI from F-SAS for AHI values.*

**Figure 7.**

**Figure 8.**

**140**

*Apnea and hypopnea distributions from PSG and F-SAS sensor for one night for severe SAS sufferer.*



**Table 1.**

*Reliability of F-SAS sensor in comparison with PSG under AASM criteria published in 2001 [13].*

**Figure 10.** *Clinical test of multichannel system of F-SAS sensor in pediatrics.*

**2.1 Measuring procedure**

*Portable prototype and original F-SAS sensor.*

*Optical Fiber-Based Sleep Apnea Syndrome Sensor DOI: http://dx.doi.org/10.5772/intechopen.91060*

**Figure 12.**

**Figures 15** and **16**.

**2.2 Results and discussion**

**143**

Under the agreement of the ethical committee of Tohoku Rosai Hospital in Japan and the following two conditions, coincident measurements of PLSX and F-SAS

1.Subjects were 33 men and 8 women (age: 55.7 7.49, BMI: 25.6 4.2, ESS: 6.9 3.5), and as shown in **Figures 6** and **13–16***,* an optical fiber sheet was set under the bed pad, respiratory motion of the chest was measured, and arterial blood oxygen saturation was measured by PLSX from February 16, 2012 to

2.Next, conditions for 68 men and 8 women (age: 52.5 20.5, BMI: 24.8 6.8, ESS: 6 6) were measured by using the downsized F-SAS sensor (controller is 16.8% and weight is 19% less than before) with a conventional PLSX from March 12, 2013 to Januray 11, 2016, in Tohoku Rosai Hospital, Sendai in Japan.

3.Finally, the clinical examination was carried out in the Department of Sleep Medicine, University of Tsukuba in Japan. Candidates were chosen from both healthy subjects and those suspected to be severe SAS patients who were definitive diagnosed by PSG and complied with F-SAS sensor clinical tests. Clinical test periods were from September 25, 2013 to February 12, 2014, and measurements were taken for 35 SAS patients including healthy subjects. Simultaneously parallel used measurements were taken with a PSG system, Alice 5, and a compact F-SAS sensor system-Ver. 1 and 2, as shown in

The analytical results of RDI (Respiratory disturbance index, Pro-AHI; Provisional Apnea Hypopnea Index) by the conventional F-SAS sensor and ODI3%

(oxygen desaturation index: *3*%) of PLSX [5] are shown in **Figure 17**.

sensors were taken for an overnight medical checkup screening.

September 7, 2016 in Tohoku Rosai Hospital, Sendai in Japan.

#### **Figure 11.**

*Correlation between AHI of SAS2100 of the Yamanashi University Hospital (subjects: 11 children of age 210 y) as a reference and RDI of F-SAS sensor [11].*

installation of the system in the pediatric ward. A correlation coefficient of 0.76 was obtained for 11 infantile subjects (**Figure 11**).
