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An Alternative Approach to the Monitoring of Respiration by Dynamic Air-Pressure Sensor
Tohru TakaradaDDS, PhD,
Michio KawaharaMD, PhD,
Masahiro IrifuneDDS, PhD,
Chie EndoDDS,
Yoshitaka ShimizuDDS,
Keiko KobayashiDDS,
Keiko SakataDDS,
Nobuhito KikuchiDDS,
Takuya SaidaDDS, and
Chiori OnizukaDDS
Article Category: Research Article
Volume/Issue: Volume 54: Issue 1
Online Publication Date: Jan 01, 2007
DOI: 10.2344/0003-3006(2007)54[2:AAATTM]2.0.CO;2
Page Range: 2 – 6

. DISCUSSION In the present study we compared the ∫P exp extracted from respiratory movement by dynamic air-pressure sensor to TV exp for each expiration in each subject. We found a strong correlation between ∫P exp and TV exp . The results showed that the dynamic air-pressure sensor was useful in monitoring the respiratory status of the clothed patient noninvasively and nonrestrictively. The dynamic air-pressure sensor was developed to record respiratory effort noninvasively. This device is characterized by the fact that its sensor pad is set in place

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Figure 1.; Dynamic air-pressure sensor system.
Tohru Takarada,
Michio Kawahara,
Masahiro Irifune,
Chie Endo,
Yoshitaka Shimizu,
Keiko Kobayashi,
Keiko Sakata,
Nobuhito Kikuchi,
Takuya Saida, and
Chiori Onizuka
Figure 1.
Figure 1.

Dynamic air-pressure sensor system.

Figure 2.; A typical record of respiratory air-pressure waveform obtained from dynamic air-pressure sensor (top) and integral waveform (bottom).
Tohru Takarada,
Michio Kawahara,
Masahiro Irifune,
Chie Endo,
Yoshitaka Shimizu,
Keiko Kobayashi,
Keiko Sakata,
Nobuhito Kikuchi,
Takuya Saida, and
Chiori Onizuka
Figure 2.
Figure 2.

A typical record of respiratory air-pressure waveform obtained from dynamic air-pressure sensor (top) and integral waveform (bottom).

Figure 3.; The relationship between TVexp (the expiratory tidal volume) and ∫Pexp (the time integration values of pressure fluctuations extracted from respiratory movement by dynamic air-pressure sensor) for each subject. A strong correlation between TVexp and ∫Pexp was observed for all subjects.
Tohru Takarada,
Michio Kawahara,
Masahiro Irifune,
Chie Endo,
Yoshitaka Shimizu,
Keiko Kobayashi,
Keiko Sakata,
Nobuhito Kikuchi,
Takuya Saida, and
Chiori Onizuka
Figure 3.
Figure 3.

The relationship between TVexp (the expiratory tidal volume) and ∫Pexp (the time integration values of pressure fluctuations extracted from respiratory movement by dynamic air-pressure sensor) for each subject. A strong correlation between TVexp and ∫Pexp was observed for all subjects.

Figure 1. ; Dynamic air pressure sensor.
Tohru Takarada,
Tetsunosuke Asada,
Yoshihisa Sumi, and
Yoshinori Higuchi
Figure 1. 
Figure 1. 

Dynamic air pressure sensor.

Figure 2. ; Structure of the dynamic air-pressure detector.
Tohru Takarada,
Tetsunosuke Asada,
Yoshihisa Sumi, and
Yoshinori Higuchi
Figure 2. 
Figure 2. 

Structure of the dynamic air-pressure detector.

Figure 3. ; A representative respiratory air-pressure waveform obtained from the dynamic air pressure sensor (top) and the integral waveform (bottom) under thinly clothed (left) and thickly clothed (right) conditions.
Tohru Takarada,
Tetsunosuke Asada,
Yoshihisa Sumi, and
Yoshinori Higuchi
Figure 3. 
Figure 3. 

A representative respiratory air-pressure waveform obtained from the dynamic air pressure sensor (top) and the integral waveform (bottom) under thinly clothed (left) and thickly clothed (right) conditions.

Figure 4. ; Relationship between expiratory tidal volume (TVexp) and time integration values for air pressure (∫Pexp) for each subject under each clothing condition. Open circles indicate data measured under thinly clothed condition; closed circles, data measured under thickly clothed condition.
Tohru Takarada,
Tetsunosuke Asada,
Yoshihisa Sumi, and
Yoshinori Higuchi
Figure 4. 
Figure 4. 

Relationship between expiratory tidal volume (TVexp) and time integration values for air pressure (∫Pexp) for each subject under each clothing condition. Open circles indicate data measured under thinly clothed condition; closed circles, data measured under thickly clothed condition.

Noncontact Monitoring of Respiration by Dynamic Air-Pressure Sensor
Tohru TakaradaDDS, PhD,
Tetsunosuke AsadaDDS, PhD,
Yoshihisa SumiDDS, and
Yoshinori HiguchiDDS, PhD
Article Category: Research Article
Volume/Issue: Volume 62: Issue 3
Online Publication Date: Jan 01, 2015
DOI: 10.2344/12-00020.1
Page Range: 100 – 105

Subject Index, Volume 62
Article Category: Research Article
Volume/Issue: Volume 62: Issue 4
Online Publication Date: Dec 01, 2015
DOI: 10.2344/0003-3006-62.4.180
Page Range: 180 – 180

, 110 Meperidine, 14, 91 Meta-analysis, 57 Midazolam, 25, 64, 91 Misplacement, 114 Monitor, 100 Morphine, 91 Nasal trumpet, 166 Nasogastric tube, 114 Nasopharyngeal airway, 166 Nasotracheal intubation, 122 Needle, 2 Nonrestrictively, 100 Noonan syndrome, 71 Oral surgery, 114 Oral tissue blood flow, 51 Oral tumors pediatric anesthesia, 118 Orthognathic surgery, 166 Outpatient anesthesia, 25 Pain, 2, 46, 106, 153