Technology and Health Care - Volume 32, issue 5

Authors: Wu, Jianlei | Guo, Jing | Luo, Yong | Sun, Jianfeng | Xu, Liangwei | Zhang, Jianxing | Liu, Yunfeng

Article Type: Research Article

Abstract: BACKGROUND: As a new intelligent polymer material, shape memory polymer (SMP) was a potential orthodontic appliance material. OBJECTIVE: This study aimed to investigate the thermodynamic responses of SMP under different loads via finite element analysis (FEA). METHODS: FEA specimens with a specification of 0.1 × 0.1 × 1 mm were designed. One end of the specimen was fixed, and the other was subjected to displacement load. Different loading, cooling, and heating rates were separately exerted on the specimen in its shape recovery process and used to observe …the responses of the SMP constitutive model. Furthermore, specimens with various tensile elongation and sectional areas were simulated and used to elucidate their effect on shape recovering force. RESULTS: The specimens obtained a similar stress of 0.5, 0.44, and 1.07 Mpa for different loading, cooling, and heating rates after a long time. The shape recovering force of specimen increased from 0.0102 to 0.0315 N when the elongation improved from 10% to 40% and to 0.0408 N when the sectional areas were expanded to 0.2 × 0.2 mm. CONCLUSION: The stiffness of SMP was small at a high temperature but large at a low temperature. The effects of the loading, cooling, and heating rates on SMP can be eliminated after a long time. Furthermore, it was possible to increase the recovering force by increasing the elongation or expanding the sectional area of the specimen. The force was quadratically dependent on the elongation ratio. Show more

Keywords: Shape memory polymer, constitutive model, thermodynamic response, finite element analysis

DOI: 10.3233/THC-240078

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3383-3391, 2024

Authors: Zhao, Mei | Zhou, Hengyu | Wang, Jing | Liu, Yongyue | Zhang, Xiaoqing

Article Type: Research Article

Abstract: BACKGROUND: The theory of Chinese medicine (TCM) constitution contributes to the optimisation of individualised healthcare programmes. However, at present, TCM constitution identification mainly relies on inefficient questionnaires with subjective bias. Efficient and accurate TCM constitution identification can play an important role in individualised medicine and healthcare. OBJECTIVE: Building an efficient model for identifying traditional Chinese medicine constitutions using objective tongue features and machine learning techniques. METHODS: The DS01-A device was applied to collect tongue images and extract features. We trained and evaluated five machine learning models: Support Vector Machine (SVM), Decision Tree (DT), …Random Forest (RF), LightGBM (LGBM), and CatBoost (CB). Among these, we selected the model with the best performance as the base classifier for constructing our heterogeneous ensemble learning model. Using various performance metrics, including classification accuracy, precision, recall, F1 score, and area under curve (AUC), to comprehensively evaluate model performance. RESULTS: A total of 1149 tongue images were obtained and 45 features were extracted, forming dataset 1. RF, LGBM, and CB were selected as the base learners for the RLC-Stacking. On dataset 1, RLC-Stacking1 achieved an accuracy of 0.8122, outperforming individual classifiers. After feature selection, the classification accuracy of RLC-Stacking2 improved to 0.8287, an improvement of 0.00165 compared to RLC-Stacking1. RLC-Stacking2 achieved an accuracy exceeding 0.85 for identifying each TCM constitution type, indicating excellent identification performance. CONCLUSION: The study provides a reliable method for the accurate and rapid identification of TCM constitutions and can assist clinicians in tailoring individualized medical treatments based on personal constitution types and guide daily health care. The information extracted from tongue images serves as an effective marker for objective TCM constitution identification. Show more

Keywords: Traditional Chinese Medicine Constitution, constitution identification, tongue features, machine learning, ensemble learning

DOI: 10.3233/THC-240128

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3393-3408, 2024

Authors: Chen, Ruijuan | Wang, Rui | Fei, Jieying | Huang, Lengjie | Bi, Xun | Wang, Jinhai

Article Type: Research Article

Abstract: BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life, as well as one of the important causes of social transportation, production and life accidents. OBJECTIVE: Fatigue detection based on traditional machine learning requires manual and tedious feature extraction and feature selection engineering, which is inefficient, poor in real-time, and the recognition accuracy needs to be improved. In order to recognize daily mental fatigue level more accurately and in real time, this paper proposes a mental fatigue recognition model based on 1D Convolutional Neural Network (1D-CNN), which inputs 1D raw ECG sequences of 5 s duration …into the model, and can directly output the predicted fatigue level labels. METHODS: The fatigue dataset was constructed by collecting the ECG signals of 22 subjects at three time periods: 9:00–11:00 a.m., 14:00–16:00 p.m., and 19:00–21:00 p.m., and then inputted into the 19-layer 1D-CNN model constructed in the present study for the classification of mental fatigue in three grades. RESULTS: The results showed that the model was able to recognize the fatigue levels effectively, and its accuracy, precision, recall, and F1 score reached 98.44%, 98.47%, 98.41%, and 98.44%, respectively. CONCLUSION: This study further improves the accuracy and real-time performance of recognizing multi-level mental fatigue based on electrocardiography, and provides theoretical support for real-time fatigue monitoring in daily life. Show more

Keywords: Mental fatigue, short-time electrocardiographic sequence, deep learning, 1D convolutional neural network

DOI: 10.3233/THC-240129

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3409-3422, 2024

Authors: Ji, Jiajia | Zhu, Min | Bao, Mengqian | Xu, Lamei | Yuan, Hui

Article Type: Research Article

Abstract: BACKGROUND: To enhance the self-management ability of elderly diabetes mellitus (DM) patients, priority should be given to the accurate evaluation of their current self-management ability, and then provide corresponding guidance. OBJECTIVE: To explore the application value of Diabetes Self-Management Behaviors among Older Koreans (DSMB-O) in self-management of elderly patients with type 2 diabetes mellitus (T2DM). METHODS: Using convenient sampling, this study retrospectively collected the clinical data of 215 elderly patients with T2DM who were admitted to our hospital from June 2020 to June 2022. Enrolled patients were divided into an effective-control group (n …= 80) and an ineffective-control group (n = 135) based on whether the glycated hemoglobin (HbA1C) was < 7.5% for further comparison of the collected data. RESULTS: There were statistically significant differences in the comparison of the proportion of diabetes mellitus (DM) course (χ 2 = 26.000, P < 0.001), DSMB-O score (17.67 ± 4.07 VS 14.67 ± 4.70 points, t = 4.582, P < 0.001), and Summary Diabetes Self Care Activity (SDSCA) score (43.16 ± 11.17 VS 37.58 ± 12.47 points, t = 5.492, P < 0.001) between the two groups. The total score of DSMB-O was negatively correlated with both HbA1c (r = - 0.281, P < 0.001) and complications (r = - 0.193, P = 0.004); moreover, the total score of SDSCA was also negatively correlated with both HbA1c (r = - 0.234, P < 0.001) and complications (r = - 0.153, P = 0.025). Among various dimensions of DSMB-O, active exercise (OR = 0.699, 95%CI: 0.541 ∼ 0.902) and blood glucose monitoring (OR = 0.603, 95%CI: 0.431 ∼ 0.817) were protective factors for T2DM patients with HbA1c levels < 7.5%. The area under the curve (AUC) of SDSCA score and DSMB-O score predicting self-management level in elderly T2DM patients was 0.643 (95%CI: 0.611 ∼ 0.756) and 0.716 (95%CI: 0.689∼ 0.774), respectively. CONCLUSION: DSMB-O exhibits a higher accuracy in predicting the self-management level of elderly patients with T2DM than that of SDSCA. Regular exercise, medication, blood glucose monitoring, and reducing the risk of complications are all intimately associated with the control of blood glucose. Show more

Keywords: Elderly, Type 2 diabetes, self-management behavior, influencing factors, health effects

DOI: 10.3233/THC-240138

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3423-3432, 2024

Authors: Auer, Simon | Süß, Franz | Dendorfer, Sebastian

Article Type: Research Article

Abstract: BACKGROUND: This study presents a comprehensive comparison between a marker-based motion capture system (MMC) and a video-based motion capture system (VMC) in the context of kinematic analysis using musculoskeletal models. OBJECTIVE: Focusing on joint angles, the study aimed to evaluate the accuracy of VMC as a viable alternative for biomechanical research. METHODS: Eighteen healthy subjects performed isolated movements with 17 joint degrees of freedom, and their kinematic data were collected using both an MMC and a VMC setup. The kinematic data were entered into the AnyBody Modelling System, which enables the calculation of …joint angles. The mean absolute error (MAE) was calculated to quantify the deviations between the two systems. RESULTS: The results showed good agreement between VMC and MMC at several joint angles. In particular, the shoulder, hip and knee joints showed small deviations in kinematics with MAE values of 4.8∘ , 6.8∘ and 3.5∘ , respectively. However, the study revealed problems in tracking hand and elbow movements, resulting in higher MAE values of 13.7∘ and 27.7∘ . Deviations were also higher for head and thoracic movements. CONCLUSION: Overall, VMC showed promising results for lower body and shoulder kinematics. However, the tracking of the wrist and pelvis still needs to be refined. The research results provide a basis for further investigations that promote the fusion of VMC and musculoskeletal models. Show more

Keywords: Biomechanics, range of motion, musculoskeletal system, optical motion capture

DOI: 10.3233/THC-240202

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3433-3442, 2024

Authors: Njezic, Sasa | Zivic, Fatima | Savic, Slobodan | Petrovic, Nenad | Pesic, Zivana Jovanovic | Stefanovic, Anja | Milenkovic, Strahinja | Grujovic, Nenad

Article Type: Research Article

Abstract: BACKGROUND: The biological properties of silicone elastomers such as polydimethylsiloxane (PDMS) have widespread use in biomedicine for soft tissue implants, contact lenses, soft robots, and many other small medical devices, due to its exceptional biocompatibility. Additive manufacturing of soft materials still has significant challenges even with major advancements that have occurred in development of these technologies for customized medical devices and tissue engineering. OBJECTIVE: The aim of this study was to develop a mathematical model of tangential stress in relation to shear stress, shear rate, 3D printing pressure and velocity, for non-Newtonian gels and fluids that …are used as materials for 3D printing. METHOD: This study used FENE (finitely extensible nonlinear elastic model) model, for non-Newtonian gels and fluids to define the dependences between tangential stress, velocity, and pressure, considering viscosity, shear stress and shear rates as governing factors in soft materials friction and adhesion. Experimental samples were fabricated as showcases, by SLA and FDM 3D printing technologies: elastic polymer samples with properties resembling elastic properties of PDMS and thermoplastic polyurethane (TPU) samples. Experimental 3D printing parameters were used in the developed analytical solution to analyse the relationships between governing influential factors (tangential stress, printing pressure, printing speed, shear rate and friction coefficient). Maple software was used for numerical modelling. RESULTS: Analytical model applied on a printed elastic polymer, at low shear rates, exhibited numerical values of tangential stress of 0.208–0.216 N m - 2 at printing velocities of 0.9 to 1.2 mm s - 1 , while the coefficient of friction was as low as 0.09–0.16. These values were in accordance with experimental data in literature. Printing pressure did not significantly influence tangential stress, whereas it was slightly influenced by shear rate changes. Friction coefficient linearly increased with tangential stress. CONCLUSION: Simple analytical model of friction for elastic polymer in SLA 3D printing showed good correspondence with experimental literature data for low shear rates, thus indicating possibility to use it for prediction of printing parameters towards desired dimensional accuracy of printed objects. Further development of this analytical model should enable other shear rate regimes, as well as additional soft materials and printing parameters. Show more

Keywords: Soft materials, tangential stress model, shear rate, friction coefficient, FENE (finitely extensible nonlinear elastic model), 3D printing

DOI: 10.3233/THC-240209

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3443-3462, 2024

Authors: Miura, Takanori | Takahashi, Tsuneari | Ae, Ryusuke | Takeshita, Katsushi | Miyakoshi, Naohisa

Article Type: Research Article

Abstract: BACKGROUND: A gradually reducing radius (GRADIUS) design implant can facilitate a smooth transition from stability through full range of motion in total knee arthroplasty (TKA). Nonetheless, patient-specific factors associated with good knee flexion remain unclear. OBJECTIVE: This study aimed to determine the factors associated with good knee flexion after cruciate-retaining TKA with a GRADIUS prosthesis in an Asian population. METHODS: This retrospective study included 135 patients that were stratified according to postoperative knee flexion angle (KFA) into Group F (⩾ 120∘ ; 85 patients [63.2%]) and Group NF (< …120∘ ; 50 patients [36.8%]). RESULTS: Patients in Group F were taller and had a lower body mass index (BMI) smaller preoperative hipkneeankle angle and better preoperative extension and flexion angle than Group NF patients. The multivariable analysis revealed that patients’ height (odds ratio [OR]: 1.07, P = 0.0150), BMI (OR: 0.85, P = 0.0049), and preoperative flexion angle (OR: 1.06, P = 0.0008) predicted good KFA. The ROC curve analysis showed that the cutoff values of a good KFA were height 155.1 cm, BMI 22.1 kg/m2 , and preoperative KFA 120∘ . CONCLUSIONS: Patient height, BMI, and preoperative KFA were independent factors affecting good postoperative KFA in patients of Asian descent who underwent cruciate-retaining TKA with a GRADIUS design. Show more

Keywords: Total knee arthroplasty, posterior cruciate ligament retaining, knee flexion, body mass index, height, knee implant

DOI: 10.3233/THC-240212

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3463-3471, 2024

Authors: Sun, Yuyan | Li, Qian

Article Type: Research Article

Abstract: BACKGROUND: Dental extraction or tooth extraction is a common clinical radical treatment surgery. OBJECTIVE: To explore the efficacy and safety of remimazolam in tooth extraction surgery in a randomized, single-blind, multi-center clinical trial. METHOD: Patients who underwent tooth extraction surgery at Jinan Stomatological Hospital from April 2022 to March 2023 were selected as the research subjects, and they were divided into a control group and an observation group using the random arrangement table method. The patients in the control group were anesthetized with midazolam, and the patients in the observation group were anesthetized …with remimazolam. Collect the general demographic data of the patients, use the propensity score matching method (PSM) to balance the baseline data of the two groups, and use t -test, chi-square test, and analysis of variance to compare the hemodynamics, anesthesia maintenance period indicators, and alertness/Sedation scores and occurrence of adverse reactions. RESULT: PSM matching was performed according to a 1:1 ratio, and 40 patients were included in the observation and control groups. There was no statistical significance in the baseline data of the two groups. Compared with T0 , the hemodynamic indexes of both groups of patients increased at T1 , T2 , T3 , T4 , and T5 (P < 0.05), but the indexes at T0 and T2 were the same. The same (P > 0.05), and the indicators of the observation group at T1 , T3 , T4 , and T5 were higher than those of the control group (P < 0.05); the administration time of the two groups of patients was the same (P > 0.05), but the observation group The recovery time and onset of effect were shorter than those in the control group (P < 0.05); at T0 , the clinical behavior scores of the two groups of patients were the same (P > 0.05), and at T1 , the scores of the observation group were lower than those of the control group (P < 0.05); at T0 and T1 , the alertness/sedation scores of the patients in the observation group were lower than those in the control group, but at T2 , the scores of the patients in the observation group were higher than those in the control group (P < 0.05); the total clinical adverse reactions of the patients in the observation group were The incidence rate (5.00%) was lower than that of the control group (30.00%) (P < 0.05). CONCLUSION: The use of remimazolam during tooth extraction can stabilize the patient’s hemodynamics, shorten the recovery and onset time, stabilize the patient’s behavior, have an excellent soothing effect, have fewer adverse reactions, and be safer, so it is worthy of use. Show more

Keywords: Remazolam, tooth extraction, sedation, safety, single-masked, multi-center

DOI: 10.3233/THC-240237

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3473-3484, 2024

Authors: Zhao, Tingting | Lv, Tian

Article Type: Research Article

Abstract: BACKGROUND: A significant proportion of interstitial lung disease (ILD) patients experience two or more comorbidities, leading to an increasing burden of disease, frequent hospitalizations, and premature death. OBJECTIVE: To investigate the causal relationship between serum metabolites and ILD in humans using Mendelian randomization. METHODS: Genetic loci closely related to human serum metabolites were selected as instrumental variables (IVs), with the inverse-variance weighted method (IVW) as the primary method and the weighted median method (WME) and MR-Egger regression as auxiliary methods for Mendelian randomization analysis of the data. Meanwhile, the causal relationship between human …serum metabolites and ILD was evaluated by OR, along with the assessment of the stability and reliability of the results via 3 methods, i.e., heterogeneity testing, gene pleiotropy testing, and sensitivity analysis. RESULTS: 8,234 single nucleotide polymorphism (SNP) loci were included as IV, among which 23 SNP loci were selected as IV. Specifically, IVW estimated that the risk of ILD in the anti-Jo-1 antibody-positive population was 4.122 times higher than that in the negative population (95% CI: 2.311–5.954, P < 0.001). IVW also supported a causal effect between anti-SSA antibody positivity and ILD (OR = 2.781, 95% CI: 1.413–4.350, P < 0.001). At the same time, MR-Egger fitted a linear relationship between erythrocyte sedimentation rate (ESR) (95% CI: 1.257–5.894, P = 0.002), C-reactive protein (CRP) (95% CI: 2.433–6.935, P = 0.001), and ILD. Additionally, heterogeneity testing with IVW and MR-Egger regression indicated no heterogeneity, and MR-Egger regression intercept and MR-PRESSO testing suggested minimal influence of gene pleiotropy on the results, without non-specific SNPs identified in the leave-one-out analysis. CONCLUSION: A positive causal relationship may exist between anti-Jo-1 antibody positivity, anti-SSA antibody positivity, elevated ESR, elevated CRP, and ILD. Show more

Keywords: Serum metabolites, interstitial lung disease, mendelian randomization, causal relationship

DOI: 10.3233/THC-240285

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3485-3496, 2024

Authors: Weber, Maximilian | Lenz, Maximilian | Wassenberg, Lena | Perera, Akanksha | Eysel, Peer | Scheyerer, Max Joseph

Article Type: Research Article

Abstract: BACKGROUND: Wound complications after lumbar spine surgery may result in prolonged hospitalization and increased morbidity. Early identification can trigger appropriate management. OBJECTIVE: The aim of this study was to investigate the efficacy of infrared-based wound assessment (FLIR) after lumbar spine surgery in the context of identifying wound healing disorders. METHODS: 62 individuals who underwent lumbar spine surgery were included. The immediate postoperative course was studied, and the patient’s sex, age, body mass index (BMI), heart rate, blood pressure, body temperature, numeric rating scale for pain (NRS), C-reactive protein (CRP), leukocyte, and hemoglobin levels …were noted and compared to thermographic measurement of local surface temperature in the wound area. RESULTS: Measurement of local surface temperature in the wound area showed a consistent temperature distribution while it was uneven in case of wound healing disorder. In this instance, the region of the wound where the wound healing disorder occured had a lower temperature than the surrounding tissue (p > 0.05). CONCLUSIONS: This study demonstrates the ongoing importance of clinical wound assessment for early detection of complications. While laboratory parameter measurement is crucial, FLIR may serve as a cost-effective supplemental tool in clinical wound evaluation. Patient safety risks appear minimal since local ST is measured without touch. Show more

Keywords: Infrared thermography, surgical site infection, spine surgery, skin, temperature

DOI: 10.3233/THC-240344

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3497-3504, 2024