Feedback Methods to Adjust Finger Orientation for High Accuracy Softness Evaluation with a Wearable Pressure Distribution Sensor in Cervix Examination
Feedback Methods to Adjust Finger Orientation for High Accuracy Softness Evaluation with a Wearable Pressure Distribution Sensor in Cervix Examination
复制标题
子宫颈检查中使用可穿戴压力分布传感器调整手指方向进行高精度柔软度评估的反馈方法
DOI:
10.1109/aim52237.2022.9863348
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Yoshihiro Tanaka
中科院分区:
文献类型:
--
作者:
Tomohiro Udo;Hiroshi Miura;Yukihiro Terada;Yoshihiro Tanaka
Evaluating the softness of the cervix is required during obstetric and gynecological internal examinations to predict the risk of miscarriage and premature birth. In a previous study, we previously developed a wearable pressure distribution sensor to measure the softness of the cervix during an internal examination. However, the sensing operation required precise control to achieve high accuracy. Although wearable sensors are sufficiently flexible to reflect manual operation by humans, they cannot maintain high sensitivity. In particular, the appropriate operation is difficult during internal examination because the cervix is not visible to the clinician. Thus, we attempt to solve this problem by providing feedback on the operation to adjust the sensing operation. In this study, we focused on finger orientation and investigated effective feedback for operational adjustment and softness evaluation. First, we compared the two feedback methodologies using visual and tactile stimuli. The comparison results showed that the perceptual substitute visual method was significantly faster and more accurate in adjusting the orientation. Based on these results, we conducted an experiment to simulate palpation with perceptual substitute visual feedback to verify the effectiveness of the softness evaluation. The results showed that perceptual substitute visual feedback could improve sensor sensitivity and achieve a high-accuracy softness evaluation.
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DOI:
--
发表时间:
2020
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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作者:
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2014
期刊:
The International Journal of Medical Robotics and Computer Assisted Surgery
影响因子:
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