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Authors: Cao, Wujing | Yu, Hongliu | Zhao, Weiliang | Li, Jin | Wei, Xiaodong

Article Type: Research Article

Abstract: BACKGROUND: Prosthetic knee is the most important component of lower limb prosthesis. Speed adaptive for prosthetic knee during swing flexion is the key method to realize physiological gait. OBJECTIVE: This study aims to discuss the target of physiological gait, propose a speed adaptive control method during swing flexion and research the damping adjustment law of intelligent hydraulic prosthetic knee. METHODS: According to the physiological gait trials of healthy people, the control target during swing flexion is defined. A new prosthetic knee with fuzzy logical control during swing flexion is designed to realize the damping adjustment automatically. The function simulation and …evaluation system of intelligent knee prosthesis is provided. Speed adaptive control test of the intelligent prosthetic knee in different velocities are researched. RESULTS: The maximum swing flexion of the knee angle is set between sixty degree and seventy degree as the target of physiological gait. Preliminary experimental results demonstrate that the prosthetic knee with fuzzy logical control is able to realize physiological gait under different speeds. The faster the walking, the bigger the valve closure percentage of the hydraulic prosthetic knee. CONCLUSIONS: The proposed fuzzy logical control strategy and intelligent hydraulic prosthetic knee are effective for the amputee to achieve physiological gait. Show more

Keywords: Physiological gait, speed adaptive, prosthetic knee, fuzzy logical control, function simulation and evaluation

DOI: 10.3233/THC-170981

Citation: Technology and Health Care, vol. 26, no. 1, pp. 133-144, 2018

Authors: Chen, Xiang | Huang, Jiahao | Luo, Feifei | Gao, Shang | Xi, Min | Li, Jin

Article Type: Research Article

Abstract: BACKGROUND: Simplified and easy-to-use monitoring approaches are crucial for the early diagnosis and prevention of obstructive sleep apnea (OSA) and its complications. OBJECTIVE: In this study, the OSA detection and arrhythmia classification algorithms based on single-channel photoplethysmography (PPG) are proposed for the early screening of OSA. METHODS: Thirty clinically diagnosed OSA patients participated in this study. Fourteen features were extracted from the PPG signals. The relationship between the number of features as inputs of the support vector machine (SVM) and performance of apnea events detection was evaluated. Also, a multi-classification algorithm based on the modified Hausdorff distance was proposed to …recognize sinus rhythm and four arrhythmias highly related with SA. RESULTS: The feature set composed of meanPP, SDPP, RMSSD, meanAm, and meank1 could provide a satisfactory balance between the performance and complexity of the algorithm for OSA detection. Also, the arrhythmia classification algorithm achieves the average sensitivity, specificity and accuracy of 83.79%, 95.91% and 93.47%, respectively in the classification of all four types of arrhythmia and regular rhythm. CONCLUSION: Single channel PPG-based OSA detection and arrhythmia classification in this study can provide a feasible and promising approach for the early screening and diagnosis of OSA and OSA-related arrhythmias. Show more

Keywords: Photoplethysmography, obstructive sleep apnea, arrhythmia, support vector machine, Poincaré plot

DOI: 10.3233/THC-213138

Citation: Technology and Health Care, vol. 30, no. 2, pp. 399-411, 2022

Authors: Zhou, Shuguang | Jin, Qinqin | Jiang, Xiya | Wang, Rui | Wang, Bingbing | Li, Jin | Yao, Hui | Yang, Yinting | Gao, Wei | Zhang, Weiyu | Cao, Wujun

Article Type: Research Article

Abstract: BACKGROUND: Internet-related technologies have rapidly developed and started to impact the traditional medical practices, which combined wireless communication technology as well as “cloud service” technology with electronic fetal heart monitoring have become a mainstream tendency. OBJECTIVE: To investigate the clinical application value of remote fetal heart rate monitoring mode (RFHRM) on late pregnancy during the coronavirus disease (COVID-19) pandemic. METHODS: From March 2021 to February 2022, we recruited 800 cases of pregnant women received prenatal examination at the Anhui Province Maternity and Child Healthcare Hospital. These pregnant women were randomly divided into two groups: the control group (n = 400), …which was given traditional management, and the observation group (n = 400), which received remote monitoring technology on this basis. The two groups were compared with neonatal asphyxia, pregnancy outcomes, Edinburgh postnatal depression scale scores (EPDS), prenatal examination expenses and total time consumption. RESULTS: There were no statistically significant differences between the groups in pregnancy outcome and neonatal outcome (P > 0.05). However, total EPDS score of 12.5% pregnant women in the observation group were higher than 12. The TPE group had significantly higher mean EPDS scores compared with the RFHRM group (7.79 ± 3.58 vs 5.10 ± 3.07; P < 0.05). The results showed a significant difference in maternity expenses (2949.83 ± 456.07 vs 2455.37 ± 506.67; P < 0.05) and total time consumption (42.81 ± 7.60 vs 20.43 ± 4.16; P < 0.05) between the groups. CONCLUSION: Remote fetal heart rate monitoring via internet served as an innovative, acceptable, safe and effective reduced-frequency prenatal examination model without affecting the outcome of perinatology of pregnant women with different risk factors. Show more

Keywords: COVID-19, prenatal examination, late trimester of pregnancy, fetal monitoring, remote monitoring technology, perinatal outcome

DOI: 10.3233/THC-220700

Citation: Technology and Health Care, vol. 31, no. 4, pp. 1105-1117, 2023