Technology and Health Care - Volume 32, issue 5

Authors: Selvakumar, K. | Lokesh, S.

Article Type: Research Article

Abstract: BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive data related to the patients and their disclosure has a negative impact on their right to privacy as well as legal ramifications for hospitals. OBJECTIVE: In this research, a novel deep learning-based key generation network (Deep-KEDI) is designed to produce the secure key used for decrypting and encrypting medical images. METHODS: Initially, medical images are pre-processed by …adding the speckle noise using discrete ripplet transform before encryption and are removed after decryption for more security. In the Deep-KEDI model, the zigzag generative adversarial network (ZZ-GAN) is used as the learning network to generate the secret key. RESULTS: The proposed ZZ-GAN is used for secure encryption by generating three different zigzag patterns (vertical, horizontal, diagonal) of encrypted images with its key. The zigzag cipher uses an XOR operation in both encryption and decryption using the proposed ZZ-GAN. Encrypting the original image requires a secret key generated during encryption. After identification, the encrypted image is decrypted using the generated key to reverse the encryption process. Finally, speckle noise is removed from the encrypted image in order to reconstruct the original image. CONCLUSION: According to the experiments, the Deep-KEDI model generates secret keys with an information entropy of 7.45 that is particularly suitable for securing medical images. Show more

Keywords: Medical image encryption, speckle noise, deep learning, zigzag pattern, generative adversarial network

DOI: 10.3233/THC-231927

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3231-3251, 2024

Authors: Oh, Sungyeon | Ko, Chang-Yong | Lee, Jaewon | Nekar, Daekook M. | Kang, Hyeyoon | Kim, Hansung | Yu, Jaeho

Article Type: Research Article

Abstract: BACKGROUND: Delayed onset muscle soreness (DOMS) is one of the most prevalent musculoskeletal symptoms in individuals engaged in strenuous exercise programs. OBJECTIVE: This study investigated the effects of wearable low-intensity continuous ultrasound on muscle biomechanical properties during DOMS. METHODS: Twenty volunteers were distributed into a wearable ultrasound stimulation group (WUG) (n = 10) and medical ultrasound stimulation group (MUG) (n = 10). All subjects performed wrist extensor muscle strength exercises to induce DOMS. At the site of pain, ultrasound of frequency 3 MHz …was applied for 1 h or 5 min in each subject of the WUG or MUG, respectively. Before and after ultrasound stimulation, muscle biomechanical properties (tone, stiffness, elasticity, stress relaxation time, and creep) and body temperature were measured, and pain was evaluated. RESULTS: A significant decrease was found in the tone, stiffness, stress relaxation time, and creep in both groups after ultrasound stimulation (all p < 0.05). A significant decrease in the pain and increases in temperature were observed in both groups (all p < 0.05). No significant differences were observed between the groups in most evaluations. CONCLUSION: The stiffness and pain caused by DOMS were alleviated using a wearable ultrasound stimulator. Furthermore, the effects of the wearable ultrasound stimulator were like those of a medical ultrasound stimulator. Show more

Keywords: Wearable low-intensity continuous ultrasound, muscle biomechanical properties, delayed onset muscle soreness, biomechanics, medical devices

DOI: 10.3233/THC-231947

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3253-3262, 2024

Authors: Zheng, Xuna | Wang, Xianglong | Zhu, Pin

Article Type: Research Article

Abstract: BACKGROUND: With the improvement of the level of science and technology, diagnosis and treatment technology of ophthalmology has continuously improved, especially with the rise of optical coherence tomography. Alternative methods have enabled clinicians to obtain more information and make greater breakthroughs in the occurrence and development of many ophthalmic diseases. OBJECTIVE: To investigate changes in retinal structure in the macular area of senile diabetic cataract patients undergoing cataract phacoemulsification. METHODS: This was a prospective cohort study. A total of 68 cataract patients (78 eyes) who voluntarily received phacoemulsification combined with intraocular lens implantation …in the Department of Ophthalmology of our hospital from December 2018 to December 2021 were selected. They were divided into A (diabetic) and B (non-diabetic) according to whether they were complicated with diabetes. There were 24 cases (28 eyes) in A and 44 cases (50 eyes) in B. Cataract patients were collected before and after surgery. Day, 1 week, and 1 month, data on the average thickness of the fovea retina and thickness of the retinal nerve fiber layer around the optic disc (average thickness, nasal thickness, topic side thickness, upper thickness, and lower thickness) were statistically analyzed analyze. RESULTS: The average retinal thickness of the macular fovea in Group A was found to be greater than that of Group B, however, there was no statistically significant difference between the two groups. At week one and week thirty, Group A’s layer of retinal nerve fibers surrounding the optic disc thickened; there was no discernible difference between the two groups. One week and one month following surgery, however, showed a one-week difference in upper thickness compared to preoperative days. There was no discernible change between the preoperative and 1-day times. CONCLUSION: Both diabetic cataract patients and simple age-related cataract patients will have different degrees of increased foveal retinal thickness after surgery. However, the foveal retinal thickness of patients with diabetes increases more. Show more

Keywords: Optical coherence tomography angiography, phacoemulsification, senile cataract, blood flow density, retinal thickness, foveal avascular area

DOI: 10.3233/THC-231966

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3263-3277, 2024

Authors: Yao, Ni | Hu, Hang | Han, Chuang | Nan, Jiaofen | Li, Yanting | Zhu, Fubao

Article Type: Research Article

Abstract: BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment. OBJECTIVE: To enhance accuracy and reduce manual involvement, propose a deep learning-based method for the automatic segmentation of kidneys and kidney tumors in CT images. METHODS: The proposed method comprises two parts: object detection and segmentation. We first use a model to detect the position of the kidney, then narrow the segmentation range, and finally use an attentional recurrent residual convolutional network for segmentation. RESULTS: Our …model achieved a kidney dice score of 0.951 and a tumor dice score of 0.895 on the KiTS19 dataset. Experimental results show that our model significantly improves the accuracy of kidney and kidney tumor segmentation and outperforms other advanced methods. CONCLUSION: The proposed method provides an efficient and automatic solution for accurately segmenting kidneys and renal tumors on CT images. Additionally, this study can assist radiologists in assessing patients’ conditions and making informed treatment decisions. Show more

Keywords: Computed tomography, kidney segmentation, deep learning, medical image processing

DOI: 10.3233/THC-232009

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3279-3292, 2024

Authors: Lee, Soo Yong | Choi, Yu Sik | Kim, Min Hyuk | Chang, Woo Nam

Article Type: Research Article

Abstract: BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RAWT) for stroke patients, very few studies have divided groups according to the severity levels of patients and conducted studies on the effects of RAWT. OBJECTIVE: The purpose of this study was to present a definite basis for physical therapy using the robot-assisted walking device through a more detailed comparison and analysis and to select the optimal target of RAWT. METHODS: This study was designed as a prospective and randomized controlled trial to investigate the effect of RAWT on balance, motor …function, and Activities of Daily Living (ADL) depending on severity levels in stroke patients. 100 participants were randomly divided into study and control groups in equal numbers. The study group was 49 and the control group was 47. One from the study group and three from the control group were eliminated. The study period is four weeks in total, and RAWT is performed five times a week for 40 minutes only for study group. During the same period, all group members had 30 minutes of Conventional Physiotherapy (CP) five times a week. RESULTS: The results of this study clearly confirmed that RAWT combined with CP produces more significant improvement in patients with stroke than the CP alone. And they indicated that RAWT had a more considerable effect in the poor or fair trunk control group for trunk balance and in the high fall risk group for balance. In motor function, RAWT showed its value in the severe and marked motor impairment group. The total or severe dependence group in ADL experienced more improvements for RAWT. CONCLUSION: This study can be concluded that the lower the level of physical functions, the more effective it responds to RAWT. As demonstrated in the results of this study, the potential of current robotic technology appears to be greatest at very low functional levels of stroke patients. Patients with low functional levels among stroke patients may benefit from robot rehabilitation. Show more

Keywords: ADL, balance, motor function, robot-assisted walking training, stroke

DOI: 10.3233/THC-232015

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3293-3307, 2024

Authors: von Hertzberg-Boelch, Sebastian Philipp | Rudert, Maximilian | Haker, Felix | Groll, Juergen | Ewald, Andrea

Article Type: Research Article

Abstract: BACKGROUND: The formation of biofilms, characterized by cell aggregation and extracellular polymeric substance (EPS) production, is a common feature of periprosthetic joint infections (PJI). OBJECTIVE: The current study aimed to investigate the development of biofilm features in vitro within less than 3 weeks by Staphylococcus aureus isolated from PJIs. METHODS: Biofilms were grown on sandblasted titanium discs, and fluorescence spectroscopy and microscopy were used to observe biofilm maturation for 21 days. RESULTS: DNA mass decreased initially, then increased from day 5 onwards, and decreased again after day 7. The …proportion of living to dead bacteria oscillated until day 7 and increased at day 10 for strain A and day 14 for strain B. EPS mass decreased initially and then continuously increased. Multilayer bacterial organization was observed at day 7. CONCLUSION: Cell aggregation occurred during the first week, followed by EPS production in the second week, and characteristic biofilm features were observed within 1 to 2 weeks. Show more

Keywords: Biofilm, periprosthetic, infection, staphylococcus aureus, treatment

DOI: 10.3233/THC-232041

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3309-3315, 2024

Authors: Liang, Dakai | Liang, Dandan | Liu, Jin | Zheng, Yiying | Huang, Dehua | Li, Zeliang | Huang, Xiaoyu | Chen, Jiyan

Article Type: Research Article

Abstract: BACKGROUND: Despite the considerable progress made in preventative methods, medication, and interventional therapies, it remains evident that cardiovascular events (CVEs) continue to be the primary cause of both death and morbidity among individuals diagnosed with coronary artery disease (CAD). OBJECTIVE: To compare the connection between lipoprotein a (Lp[a]), fibrinogen (Fib), and both parameters combined with all-cause mortality to detect their value as prognostic biomarkers. METHODS: This is a retrospective study. Patients diagnosed with CAD between January 2007 and December 2020 at the Guangdong Provincial People’s Hospital (China) were involved in the study. 43,367 patients …met the eligibility criteria. The Lp(a) and Fib levels were distributed into three tertile groups (low, medium, and high). All of the patients included in the study were followed up for all-cause mortality. Kaplan–Meier and Cox regression were performed to determine the relationship between Lp(a), Fib, and all-cause mortality. A concordance statistics model was developed to detect the impact of Fib and Lp(a) in terms of anticipating poor outcomes in patients with CAD. RESULTS: Throughout a median follow-up of 67.0 months, 6,883 (15.9%) patients died. Participants with high Lp(a) (above 27.60 mg/dL) levels had a significantly higher risk for all-cause mortality than individuals with low Lp(a) levels (below 11.13 mg/dL; adjusted hazard ratio [aHR] 1.219, 95% confidence interval [CI]: 1.141–1.304, p < 0.001). Similarly, patients with high Fib levels (above 4.32 g/L) had a significantly greater risk of developing all-cause mortality compared with those with reduced Fib levels (below 3.41 g/L; aHR 1.415, 95% CI: 1.323–1.514, p < 0.001). Patients with raised Lp(a) and Fib levels had the maximum risk for all-cause mortality (aHR 1.702; 95% CI: 1.558–1.859, p < 0.001). When considered together, Lp(a) and Fib caused a significant elevation of the concordance statistic by 0.009 (p < 0.05), suggesting a higher value for predicting mortality when combining the two indicators. CONCLUSION: High Lp(a) and Fib levels could be used as predictive biomarkers for all-cause mortality in individuals with CAD. The prediction accuracy for all-cause mortality improved after combining the two parameters. Show more

Keywords: Lipoprotein(a), fibrinogen, coronary artery disease, all-cause mortality

DOI: 10.3233/THC-240005

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3317-3328, 2024

Authors: Azmy, Mohamed Moustafa

Article Type: Research Article

Abstract: BACKGROUND: Melanoma is a malignant skin cancer that causes high mortality. Early detection of melanoma can save patients’ lives. The features of the skin lesion images can be extracted using computer techniques to differentiate early between melanoma and benign skin lesions. OBJECTIVE: A new model of empirical wavelet decomposition (EWD) based on tan hyperbolic modulated filter banks (THMFBs) (EWD-THMFBs) was used to obtain the features of skin lesion images by MATLAB software. METHODS: The EWD-THMFBs model was compared with the empirical short-time Fourier decomposition method based on THMFBs (ESTFD-THMFBs) and the empirical Fourier …decomposition method based on THMFBs (EFD-THMFBs). RESULTS: The accuracy rates obtained for EWD-THMFBs, ESTFD-THMFBs, and EFD-THMFBs models were 100%, 98.89%, and 83.33%, respectively. The area under the curve (AUC) was 1, 0.97, and 0.91, respectively. CONCLUSION: The EWD-THMFBs model performed best in extracting features from skin lesion images. This model can be programmed on a mobile to detect skin lesions in rural areas by a nurse before consulting a dermatologist. Show more

Keywords: EFD, ESTFD, EWD, THMFBs, CMFBs, BILSTM, RNN

DOI: 10.3233/THC-240020

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3329-3339, 2024

Authors: Nanda, Ashok Kumar | Thilagavathy, R. | Gayatri Devi, G.S.K. | Chaturvedi, Abhay | Jalda, Chaitra Sai | Inthiyaz, Syed

Article Type: Research Article

Abstract: BACKGROUND: Dengue fever is rapidly becoming Malaysia’s most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling dengue, while the recently introduced tetravalent immunization is being evaluated. The most significant and dangerous risk increasing recently is vector-borne illnesses. These illnesses induce significant human sickness and are transmitted by blood-feeding arthropods such as fleas, parasites, and mosquitos. A thorough grasp of various factors is necessary to improve prediction accuracy and typically generate inaccurate and unstable predictions, as well as machine learning (ML) models, …weather-driven mechanisms, and numerical time series. OBJECTIVE: In this research, we propose a novel method for forecasting vector-borne disease risk using Radial Basis Function Networks (RBFNs) and the Darts Game Optimizer (DGO) algorithm. METHODS: The proposed approach entails training the RBFNs with historical disease data and enhancing their parameters with the DGO algorithm. To prepare the RBFNs, we used a massive dataset of vector-borne disease incidences, climate variables, and geographical data. The DGO algorithm proficiently searches the RBFN parameter space, fine-tuning the model’s architecture to increase forecast accuracy. RESULTS: RBFN-DGO provides a potential method for predicting vector-borne disease risk. This study advances predictive demonstrating in public health by shedding light on effectively controlling vector-borne diseases to protect human populations. We conducted extensive testing to evaluate the performance of the proposed method to standard optimization methods and alternative forecasting methods. CONCLUSION: According to the findings, the RBFN-DGO model beats others in terms of accuracy and robustness in predicting the likelihood of vector-borne illness occurrences. Show more

Keywords: Deep learning (DL), dengue fever, radial basis function networks, darts game optimizer, vector-borne disease

DOI: 10.3233/THC-240046

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3341-3361, 2024

Authors: Liao, Liangchuang | Zhang, Guoan | Hu, Mingwei

Article Type: Research Article

Abstract: BACKGROUND: Human gait pattern recognition and compliance control are key technologies for achieving high coordination and assistance between exoskeleton robots and human movements. OBJECTIVE: In order to improve the adaptability of exoskeleton robots to the human body, this paper proposes an exoskeleton compliance control strategy based on dual interaction torque phase separation control method. METHODS: A support phase swing phase split control strategy based on dual interaction torque is proposed. Utilize the interaction force of human joints and adopt a model-based method to control the support phase. By utilizing the interaction force of exoskeleton …joints and using a torque closed-loop method to control the swing phase, a multi-state control method of motion is achieved. RESULTS: A lower limb exoskeleton knee joint testing platform is built to verify the proposed human gait recognition The effectiveness of human-machine interaction force identification and human-machine coupling system compliance control technology. CONCLUSION: The proposed control method can effectively adjust joint torque, enabling the exoskeleton robot to maintain balance and stability during the entire walking phase. Show more

Keywords: Exoskeleton robots, compliance control, pattern recognition

DOI: 10.3233/THC-240050

Citation: Technology and Health Care, vol. 32, no. 5, pp. 3363-3381, 2024