Development of Wearable Devices for Collecting Digital Rehabilitation/Fitness Data from Lower Limbs.

Lower extremity exercises are considered a standard and necessary treatment for rehabilitation and a well-rounded fitness routine, which builds strength, flexibility, and balance. The efficacy of rehabilitation programs hinges on meticulous monitoring of both adherence to home exercise routines and the quality of performance. However, in a home environment, patients often tend to inaccurately report the number of exercises performed and overlook the correctness of their rehabilitation motions, lacking quantifiable and systematic standards, thus impeding the recovery process. To address these challenges, there is a crucial need for a lightweight, unbiased, cost-effective, and objective wearable motion capture (Mocap) system designed for monitoring and evaluating home-based rehabilitation/fitness programs. This paper focuses on the development of such a system to gather exercise data into usable metrics. Five radio frequency (RF) inertial measurement unit (IMU) devices (RF-IMUs) were developed and strategically placed on calves, thighs, and abdomens. A two-layer long short-term memory (LSTM) model was used for fitness activity recognition (FAR) with an average accuracy of 97.4%. An intelligent smartphone algorithm was developed to track motion, recognize activity, and calculate key exercise variables in real time for squat, high knees, and lunge exercises. Additionally, a 3D avatar on the smartphone App allows users to observe and track their progress in real time or by replaying their exercise motions. A dynamic time warping (DTW) algorithm was also integrated into the system for scoring the similarity in two motions. The system's adaptability shows promise for applications in medical rehabilitation and sports.

Augmented detection of septal defects using advanced optical coherence tomography network-processed phonocardiogram.

Background: Cardiac auscultation is a traditional method that is most frequently used for identifying congenital heart disease (CHD). Failure to diagnose CHD may occur in patients with faint murmurs or obesity. We aimed to develop an intelligent diagnostic method of detecting heart murmurs in patients with ventricular septal defects (VSDs) and atrial septal defects (ASDs). Materials and methods: Digital recordings of heart sounds and phonocardiograms of 184 participants were obtained. All participants underwent echocardiography by pediatric cardiologists to determine the type of CHD. The phonocardiogram data were classified as normal, ASD, or VSD. Then, the phonocardiogram signal was used to extract features to construct diagnostic models for disease classification using an advanced optical coherence tomography network (AOCT-NET). Cardiologists were asked to distinguish normal heart sounds from ASD/VSD murmurs after listening to the electronic sound recordings. Comparisons of the cardiologists' assessment and AOCT-NET performance were performed. Results: Echocardiography results revealed 88 healthy participants, 50 with ASDs, and 46 with VSDs. The AOCT-NET had no advantage in detecting VSD compared with cardiologist assessment. However, AOCT-NET performance was better than that of cardiologists in detecting ASD (sensitivity, 76.4 vs. 27.8%, respectively; specificity, 90 vs. 98.5%, respectively). Conclusion: The proposed method has the potential to improve the ASD detection rate and could be an important screening tool for patients without symptoms.

Automatic segmentation of paravertebral muscles in abdominal CT scan by U-Net: The application of data augmentation technique to increase the Jaccard ratio of deep learning.

ABSTRACT: Sarcopenia, characterized by a decline of skeletal muscle mass, has emerged as an important prognostic factor for cancer patients. Trunk computed tomography (CT) is a commonly used modality for assessment of cancer disease extent and treatment outcome. CT images can also be used to analyze the skeletal muscle mass filtered by the appropriate range of Hounsfield scale. However, a manual depiction of skeletal muscle in CT scan images for assessing skeletal muscle mass is labor-intensive and unrealistic in clinical practice. In this paper, we propose a novel U-Net based segmentation system for CT scan of paravertebral muscles in the third and fourth lumbar spines. Since the number of training samples is limited (i.e., 1024 CT images only), it is well-known that the performance of the deep learning approach is restricted due to overfitting. A data augmentation strategy to enlarge the diversity of the training set to boost the performance further is employed. On the other hand, we also discuss how the number of features in our U-Net affects the performance of the semantic segmentation. The efficacies of the proposed methodology based on w/ and w/o data augmentation and different feature maps are compared in the experiments. We show that the Jaccard score is approximately 95.0% based on the proposed data augmentation method with only 16 feature maps used in U-Net. The stability and efficiency of the proposed U-Net are verified in the experiments in a cross-validation manner.

Powerful Q-switched Raman laser at 589 nm with a repetition rate between 200 and 500 kHz.

We demonstrate a highly powerful acousto-optically Q-switched Nd:YVO4 yellow laser at 589 nm by using a Np-cut KGW crystal and a phase-matching lithium triborate crystal to performance the intracavity stimulated Raman scattering and second-harmonic generation, respectively. We experimentally verify that the design of the separate cavity is superior to the conventional design of the shared cavity. By using the separate cavity, the optical-to-optical efficiency can be generally higher than 32% for the repetition rate within 200-500 kHz. The maximum output power at 589 nm can be up to 15.1 W at an incident pump power of 40 W and a repetition rate of 400 kHz.

Enhancer of rudimentary homolog regulates DNA damage response in hepatocellular carcinoma.

We previously demonstrated that the enhancer of rudimentary homolog (ERH) gene is required for the expression of multiple cell cycle and DNA damage response (DDR) genes. The present study investigated the role of ERH and its target DNA damage repair genes in hepatocellular carcinoma cells. We observed positive correlation between ERH and ataxia telangiectasia and Rad3 related (ATR) expression in liver tissues. Expression of ERH, ATR as well as checkpoint kinase 1 (CHK1) were higher in HCCs than in normal liver tissues. Knocking-down ERH augmented ultraviolet light induced DNA damage in HepG2 cells. ATR protein level is reduced upon ERH depletion as a result of defect in the splicing of ATR mRNA. Consequently, the ATR effector kinase Chk1 failed to be phosphorylated upon ultraviolet light or hydroxyurea treatment in ERH knocked-down HepG2 cells. Finally, we observed Chk1 inhibitor AZD7762 enhanced the effect of doxorubicin on inhibiting growth of HCC cells in vitro and in vivo. This study suggested that ERH regulates the splicing of the DNA damage response proteins ATR in HCC cells, and targeting DNA damage response by Chk1 inhibitor augments chemotherapy to treat HCC cells.

Material and energy balances of an integrated biological hydrogen production and purification system and their implications for its potential to reduce greenhouse gas emissions.

The materials and energy in an integrated biological hydrogen production and purification system involving hydrolysis, dark fermentation, photo fermentation, CO2 fixation and anaerobic digestion are balanced by integrating the results from multiple experiments, simulations and the literature. The findings are two fold. First, using 1000 kg rice straw as a substrate, 19.8 kg H2 and 138.0 kg CH4 are obtained. The net energy balance (NEB) and net energy ratio (NER) are -738.4 kWh and 77.8%, respectively, both of which imply an unfavorable energy production system. Opportunities to improve the performance particularly lie in the photo fermentation process. Second, greenhouse gas emissions are evaluated for various options. The results were comparable with the emission inventory of electricity generated from fossil fuels. NEB and NER under a zero-carbon-emission constraint were discussed in detail to clarify completely the implications of the energy and material balances on greenhouse gas emissions.

Antiproliferative effect of Toona sinensis leaf extract on non-small-cell lung cancer.

Toona sinensis (TS), which is also known as Cedrela sinensis, belongs to Meliaceae family, the compounds identified from this TS leaves possess a wide range of biologic functions, such as hypoglycemic effects, anti-LDL glycative activity, antioxidant activities, and inhibition of sudden acute respiratory syndrome (SARS) coronavirus replication. However, their effect against cancer cells is not well explored. In this study, to understand the cytotoxic effect and molecular mechanism stimulated by TSL-1 (TS leaf extract fraction) we employed three different non-small-cell lung cancer (NSCLC) cell lines: H441 cells (lung adenocarcinoma), H661 cells (lung large cell carcinoma) and H520 cells (lung squamous cell carcinoma). IC50 value was varied between these three cell lines, the least IC(50) value was observed in TSL-1-treated H661cells. Exposure of NSCLC cells to TSL-1 caused cell-cycle arrest in subG1 phase and caused apoptosis. Moreover, TSL-1 treatment decreased the cell-cycle regulators; cyclin D1 and CDK4 proteins by up regulating p27 expression in a dose-dependent manner. Thus, the TSL-1-induced apoptosis was further confirmed by cell morphology, subG1 peak accumulation, poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) cleavage, propidium iodide (PI)-Annexin-V double staining, and terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling (TUNEL) assay. The decreased Bcl2 protein level was concurrent with an increased Bax protein level in all 3 cell lines. Additionally, the tumoricidal effect of TSL-1 was measured using a xenograft model, after 5 weeks of TSL-1 treatment by various regimen caused regression of tumor. Taken together both these in vitro and in vivo studies revealed that TSL-1 is a potent inhibitor against NSCLC growth and our provoking result suggest that TSL-1 can be a better nutriceutical as a singlet or along with doublet agents (taxane, vinorelbine, and gemcitabine) for treating NSCLC.

Antiproliferative and antitumorigenic activity of Toona sinensis leaf extracts in lung adenocarcinoma.

Toona sinensis is a traditional Chinese herb, and the extracts of T. sinensis leaf possess a variety of biological functions. This study attempted to test the antiproliferative effect of TSL-1 (a bioactive fraction of T. sinensis) in H441 cells (lung adenocarcinoma). The data showed that the antiproliferative effect of TSL-1 on H441 cells is prominent using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay. TSL-1-induced apoptosis was confirmed by cell morphology, sub-G(1) peak accumulation, cleavage of poly(ADP)-ribose polymerase, and propidium iodide-annexin V double staining. Furthermore, decreased Bcl-2 accompanied by increased Bax (in western blotting) was found with TSL-1 treatment of H441 cells. TSL-1 treatment-induced G(1) arrest was concurrent with the down-regulation of protein levels of cyclin D1 and cyclin-dependent kinase 4 in H441 cells. Peroral and intraperitoneal administrations of TSL-1 were performed to evaluate the therapeutic efficacy, and peroral administration of TSL-1 was also used to elucidate the therapeutic efficacy in the H441 cell xenograft model in vivo. The data revealed that TSL-1 treatment inhibited H441 tumor growth in both therapeutic and preventive experiments. Taken together, these results demonstrate that TSL-1 possesses the capability of preventing and alleviating lung cancer proliferation in vitro and in vivo with proven nephrological and hepatic safety and has the potential to be developed as an anti-lung cancer drug.