We studied the use of carbon-nanotube-(CNT)-based strain sensors as components of a textilebased, wearable sensing system for real-time motion detection. In the stretchable sensor, millimeter-long multiwalled CNTs (MWCNTs) are unidirectionally aligned and sandwiched between elastomer layers. We synthesized urethane resin to make the elastomer, which exhibits low elasticity and an affinity for human skin. The aligned CNT layer was formed by stacking CNT webs drawn from a spinnable CNT forest. The stretchable sensor can be stretched up to 200% and exhibits a short sensing delay of less than 15 ms. The gauge factor exceeds 10, which indicates high sensitivity. Moreover, the device is thin and as soft as human skin. The demonstrated flexibility and conformable nature make this material ideally suited for wearable sensors, specifically for a textile-based, wearable, real-time, human body motion-sensing application.

Background: This feasibility study aimed to detect respiratory waveforms from thoracic movements and evaluate if postoperative complications could be predicted using a carbon nanotube sensor. Methods: Fifty patients who underwent lung resection for lung tumors were enrolled. The lung monitoring system of the carbon nanotube sensor was placed on bilateral chest walls across the 6 th -9 th ribs to measure chest wall motion. We examined the respiratory waveform in relation to surgical findings, postoperative course, and complications using Hilbert transform and Fast Fourier Transform (FFT).Results: Of 50 patients (37 males, 13 females), 22 were included in the normal lung function group and 28 were included in the low lung function group. The respiratory rate and waveform indicated a regular pattern in the normal lung function group and the respiratory rate could be detected. Conversely, irregular respiratory pattern was detected in 70% of patients in the low lung function group. There was no significant different overall envelope peak value between operated side and non-operated side (0.195±0.05 and 0.18±0.06). In contrast, there was significantly high peak value in the presence of postoperative complications (P<0.05). And there was a significantly higher peak value in air leakage presence than air leakage absence in operated side (P=0.045).Conclusions: The present study confirmed the feasibility of the sensor. It is promising in visualizing the respiratory state and detecting respiratory changes postoperatively.

We considered that the flying distance and curve of a golf ball are determined by the initial conditions of a golf ball (five parameters, that is, initial velocity, the elevation of delivery, the angle of left-right deviation, backspin and sidespin) immediately after being hit. The instrument for measuring these parameters simultaneously has been developed, and is characterized by canying out the measurement of the spin with laser Doppler velocimeters. In this instrument, attention was paid to the fact that the surface velocity of a flying ball is determined by sununing the flying velocity and the spin, and to measure the surface velocity of a ball inmediately after being hit was aimed at. By using this instrument, the relation of these five parameters with cany was measured. PREFACETo evaluate the perfoniiance of a golf club is nearly equivalent to measuring what happens in the flying distance and the curve under a certain condition of lutting. However, tlus is accompanied by such difficulties as 1. the ground with the same area as the case of actual hitting shall be prepared, 2. tlie measurement shall be done under the same hitting condition, 3. the measurement shall be done under the same weather conditions (particularly wind condition) and so on, therefore, it is not easy to carry out the measurement with sufficient accuracy.Thereupon, we consider that the flying distance and curve of a golf ball are determined by the initial conditions of the ball [five parameters, that is, initial velocity, the elevation of delivery (hereinafter, called elevation), the angle of left-right deviation (hereinafter, called horizontal angle), backspin and sidespin; see Fig. 11 inmiediately after being hit. The instrument for measuring these five parameters simultaneously has been developed.Tlus instrument is characterized by carrying out the measurement of spin with laser Doppler velocimeters. In this instrument, attention was paid to the surface velocity of a flying ball, which is determined by the sum of the flying velocity and the spin, and tlie surface velocity of a ball immediately after being hit was measured. Thereafter, by separating the spin and the flying velocity, the measured value of the spin was obtained. PRINCIPLEA ball immediately after being hit is a flying body having the translation of about 60ndsec and the spin of about 5000rpni. At this time, the velocity of the moving ball surface in relation to ground surface is the resultant of the translation velocity component and the spin coinponent. Fig. 2 shows a ball flying whilc spinning. When the translation velocity vector is denoted by VI, and the surface velocity vector as seen fiom the coordinate systeni moving at the same velocity as that of the ball (spin /;:a \ --h g l e of Translation velocity left-right deviation View from abox Translotion velocity ,--_-Sideview Fig. 1 Paranieters of flving golf balls Translation component Yt Fig. 2 Surface velocitv components of a flving ball component) is denoted by V,, the surface velocity at Point A as observed fiom t...

Respiratory monitoring is a significant issue to reduce patient risks and medical staff labor in postoperative care and epidemic infection, particularly after the COVID-19 pandemic. Oximetry is widely used for respiration monitoring in the clinic, but it sometimes fails to capture a low-functional respiratory condition even though a patient has breathing difficulty. Another approach is breathing-sound monitoring, but this is unstable due to the indirect measurement of lung volume. Kobayashi in our team is developing a sensor measuring temporal changes in lung volume with a displacement sensor attached across the sixth and eighth ribs. For processing these respiratory signals, we propose the combination of complex-valued wavelet transform and the correlation among spectrum sequences. We present the processing results and discuss its feasibility to detect a low-functional condition in respiration. The result for detecting low-functional respiration showed good performance with a sensitivity of 0.88 and specificity of 0.88 to 1 in its receiver operating characteristic (ROC) curve.