Comparison of the electrical signals acquired from the previously-reported sensor patch, and a commercial respiratory effort transducer under (RET) (a) static (sitting), and (b) dynamic (walking) conditions. 

Comparison of the electrical signals acquired from the previously-reported sensor patch, and a commercial respiratory effort transducer under (RET) (a) static (sitting), and (b) dynamic (walking) conditions. 

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This study reports a piezoelectric poly(vinylidene fluoride) (PVDF) polymer-based sensor patch for respiration detections in dynamic walking condition. The working mechanism of respiration signal generation is based on the periodical deformations on a human chest wall during the respiratory movements, which in turn mechanically stretch the piezoele...

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Context 1
... our previous study, we have proposed a simple, small-size, light-weight, and user-friendly PVDF polymer-based sensor patch for respiration monitoring [17] as described in the introduction section. In the design, the sensor patch was composed of three layers including a PDMS cover module layer, a PVDF sensing film layer, and a Mylar layer (a hard polyester film). In order to enhance the signal amplitude, the PVDF layer was bonded with the Mylar layer in a curved structure and it can be freely movable. In that system, the PVDF sensing layer can be modeled as a mass-spring mechanical system without damping effect. In general, an undamped mechanical system normally has the characteristic response of large overshoot and long settling time. Hence, the mechanical amplitude of the PVDF layer could be enhanced by large overshoot when the stimulated oscillation was in a regularly repeated manner. Higher mechanical deformation could in turn generate higher electrical signals, as shown in our previous work [17]. It was reported that the electrical signals were around 151% of that based on the sensor with flat PVDF structure under static respiration measurement [17]. However, response with long settling time generated disturbed harmonic oscillation when the stimulated oscillation frequency and the natural frequency of the PVDF layer were not the same. In this situation, the measurement under static conditions (e.g., sitting or sleeping) was still acceptable because the stimulated oscillation frequency was fixed, as shown in Figure 3a. The disturbed harmonic oscillation could be filtered out by the signal conditioning post-process. When the measurement was under dynamic conditions (e.g., walking), conversely, the mechanical response was highly influenced by such disturbed harmonic oscillation with the combination of various frequencies. The generated electrical signals may not represent the actual respiration motions, as shown in Figure 3b. Therefore, the design of the previously-reported sensor patch might not be suitable for the respiration detection particularly under dynamic condition due to noise problem. The published Sensor Patch RET In order to tackle the abovementioned technical problem, the proposed PVDF-based sensor patch was developed for the respiration measurement under dynamic walking conditions. In the design, a thin PVDF sensing layer was entirely encapsulated by two elastic PDMS cover layers in order to constraint its free movements which is different from the design of the previously-reported sensor patch [17]. Based on the structure design, the PVDF sensing layer can be modeled as a mass-spring-damper mechanical system. The phenomenon of large overshoot and long settling time normally occurred in an undamped system could be, to great extent, down-regulated. Since the overshoot was reduced, the mechanical amplitude of PVDF sensing layer was accordingly reduced. Therefore, the amplitude of electrical signal output might be compromised. Nevertheless, the reduction of settling time could eliminate the disturbed harmonic oscillation, which could enable the proposed sensor patch to significantly prevent dynamic noises. In order to justify this hypothesis, experimental investigations were carried out. Figure 4a,b revealed the respiration signals generated by the proposed sensor patch under static and dynamic conditions, respectively. It can be clearly found that the respiration signals generated by the proposed sensor patch were in concordance with the commercial RET under the two operating conditions explored. This could suggest that the proposed sensor patch was able to faithfully respond to the physiological movements of respirations under both conditions. For comparison of the respiratory rates measured by the proposed sensor patch and the commercially-available device (commercial respiratory effort transducer (RET)), further experiments were conducted. In this evaluation, four individuals including two males and two females were tested with the same experimental conditions. Table 1 disclosed the measurement results obtained by the proposed sensor patch and a commercial RET under static and dynamic conditions. It was found that there was no statistical difference (p > 0.05) between both measurement techniques, indicating the proposed sensor patch holds great promise to faithfully detect respiration signals both in static and dynamic conditions. Subsequent large-scale clinical study might be required to further confirm its accuracy and clinical utility. Based on above experimental evaluations, overall, it can be concluded that, the PVDF-based sensor patches with two different designs (i.e., the previously-reported and the proposed PVDF-based sensor patch) could be selected for the respiratory measurements under different implementing conditions. For the applications situating in static conditions (e.g., sleeping or sitting), for example, the previously-reported sensor patch is suitable because it could generate higher electrical signals for improving the signal-to-noise ratio. On the other hand, the sensor patch proposed in this study could be the ideal choice for the detection of respiration under dynamic conditions (e.g., walking) because of its capability to prevent the generation of dynamic noises. As a whole, this study has presented a simple and portable PVDF-based sensor patch that is capable of detecting respiration signals under static sitting and dynamic walking conditions. These technical features make it an ideal sensing device for the monitoring of respiration in patient home care. In terms of future perspectives, a wireless signal transmission mechanism can be integrated in the sensor patch. By then, the signals generated can be transmitted to a smartphone or other hand-held devices, in which a built-in software for signal processing can be used to analyze the relevant signals. Table 1. Comparison of the respiration rates measured by the proposed sensor patch, and commercial respiratory effort transducer (RET) under static (sitting) and dynamic (walking) conditions; unit: times· min −1 . The proposed Sensor Patch ...
Context 2
... our previous study, we have proposed a simple, small-size, light-weight, and user-friendly PVDF polymer-based sensor patch for respiration monitoring [17] as described in the introduction section. In the design, the sensor patch was composed of three layers including a PDMS cover module layer, a PVDF sensing film layer, and a Mylar layer (a hard polyester film). In order to enhance the signal amplitude, the PVDF layer was bonded with the Mylar layer in a curved structure and it can be freely movable. In that system, the PVDF sensing layer can be modeled as a mass-spring mechanical system without damping effect. In general, an undamped mechanical system normally has the characteristic response of large overshoot and long settling time. Hence, the mechanical amplitude of the PVDF layer could be enhanced by large overshoot when the stimulated oscillation was in a regularly repeated manner. Higher mechanical deformation could in turn generate higher electrical signals, as shown in our previous work [17]. It was reported that the electrical signals were around 151% of that based on the sensor with flat PVDF structure under static respiration measurement [17]. However, response with long settling time generated disturbed harmonic oscillation when the stimulated oscillation frequency and the natural frequency of the PVDF layer were not the same. In this situation, the measurement under static conditions (e.g., sitting or sleeping) was still acceptable because the stimulated oscillation frequency was fixed, as shown in Figure 3a. The disturbed harmonic oscillation could be filtered out by the signal conditioning post-process. When the measurement was under dynamic conditions (e.g., walking), conversely, the mechanical response was highly influenced by such disturbed harmonic oscillation with the combination of various frequencies. The generated electrical signals may not represent the actual respiration motions, as shown in Figure 3b. Therefore, the design of the previously-reported sensor patch might not be suitable for the respiration detection particularly under dynamic condition due to noise problem. The published Sensor Patch RET In order to tackle the abovementioned technical problem, the proposed PVDF-based sensor patch was developed for the respiration measurement under dynamic walking conditions. In the design, a thin PVDF sensing layer was entirely encapsulated by two elastic PDMS cover layers in order to constraint its free movements which is different from the design of the previously-reported sensor patch [17]. Based on the structure design, the PVDF sensing layer can be modeled as a mass-spring-damper mechanical system. The phenomenon of large overshoot and long settling time normally occurred in an undamped system could be, to great extent, down-regulated. Since the overshoot was reduced, the mechanical amplitude of PVDF sensing layer was accordingly reduced. Therefore, the amplitude of electrical signal output might be compromised. Nevertheless, the reduction of settling time could eliminate the disturbed harmonic oscillation, which could enable the proposed sensor patch to significantly prevent dynamic noises. In order to justify this hypothesis, experimental investigations were carried out. Figure 4a,b revealed the respiration signals generated by the proposed sensor patch under static and dynamic conditions, respectively. It can be clearly found that the respiration signals generated by the proposed sensor patch were in concordance with the commercial RET under the two operating conditions explored. This could suggest that the proposed sensor patch was able to faithfully respond to the physiological movements of respirations under both conditions. For comparison of the respiratory rates measured by the proposed sensor patch and the commercially-available device (commercial respiratory effort transducer (RET)), further experiments were conducted. In this evaluation, four individuals including two males and two females were tested with the same experimental conditions. Table 1 disclosed the measurement results obtained by the proposed sensor patch and a commercial RET under static and dynamic conditions. It was found that there was no statistical difference (p > 0.05) between both measurement techniques, indicating the proposed sensor patch holds great promise to faithfully detect respiration signals both in static and dynamic conditions. Subsequent large-scale clinical study might be required to further confirm its accuracy and clinical utility. Based on above experimental evaluations, overall, it can be concluded that, the PVDF-based sensor patches with two different designs (i.e., the previously-reported and the proposed PVDF-based sensor patch) could be selected for the respiratory measurements under different implementing conditions. For the applications situating in static conditions (e.g., sleeping or sitting), for example, the previously-reported sensor patch is suitable because it could generate higher electrical signals for improving the signal-to-noise ratio. On the other hand, the sensor patch proposed in this study could be the ideal choice for the detection of respiration under dynamic conditions (e.g., walking) because of its capability to prevent the generation of dynamic noises. As a whole, this study has presented a simple and portable PVDF-based sensor patch that is capable of detecting respiration signals under static sitting and dynamic walking conditions. These technical features make it an ideal sensing device for the monitoring of respiration in patient home care. In terms of future perspectives, a wireless signal transmission mechanism can be integrated in the sensor patch. By then, the signals generated can be transmitted to a smartphone or other hand-held devices, in which a built-in software for signal processing can be used to analyze the relevant signals. Table 1. Comparison of the respiration rates measured by the proposed sensor patch, and commercial respiratory effort transducer (RET) under static (sitting) and dynamic (walking) conditions; unit: times· min −1 . The proposed Sensor Patch ...

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