生物医学工程(英文)Pub Date : 2019-03-12DOI: 10.4236/JBISE.2019.123014
Poh-ching Tan, Yun Xie, Wei Wu, Peiqi Zhang, Yiming Gao, Kai Liu, Shuangbai Zhou, Qingfeng Li
{"title":"Concentrated Growth Factor from Autologous Platelet Promotes Hair Growth in Androgenetic Alopecia","authors":"Poh-ching Tan, Yun Xie, Wei Wu, Peiqi Zhang, Yiming Gao, Kai Liu, Shuangbai Zhou, Qingfeng Li","doi":"10.4236/JBISE.2019.123014","DOIUrl":"https://doi.org/10.4236/JBISE.2019.123014","url":null,"abstract":"Studies have shown that platelet concentrates can induce the proliferation of the dermal papilla and the vascularization of the perifollicular tissue, as well as accelerate the telogen-to-anagen transition, thereby promoting the regrowth of hair improving the appearance of hair loss. Herein, we report on the application of a new, modified form of platelet concentrates, namely, concentrated growth factors (CGFs), in 15 cases of androgenetic alopecia (AGA). 15 cases of androgenetic alopecia were treated with the use of monthly, subcutaneous injections of autologous CGF in the scalp. A total of 3 injections were administered 4 weeks apart, and the patients were followed up for 6 months. Assessments were performed before the treatments and at 4, 8, 12 and 24 weeks after the first treatment. The treatment outcomes were assessed by taking macroscopic photographs and trichoscopic photomicrographs, as well as by using the Global Aesthetic Improvement Scale (GAIS) and the patient satisfaction survey. In order to determine the safety of the treatment, the injection area was observed for signs of infection or mass evaluation. The photographs showed significant improvement in hair appearance after injections of CGF. The hair photomicrographs showed that CGF promoted the regrowth of hair in balding areas, with an increased hair density and an increased ratio of terminal to vellus hair. The GAIS suggested that CGF treatments were effective in treating AGA, and the majority of patients were satisfied with their improvement. In addition, treatments resulted in a faster rate of hair growth and a decrease in the greasy and unpleasant sensation of the hair of the patients. At the last visit, none of the 15 patients reported experiencing side-effects during the follow-up period. To conclude, the application of CGF can be an effective method in the treatment of androgenetic alopecia.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45691308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-03-12DOI: 10.4236/JBISE.2019.123015
G. Kom, B. C. Wouantsa Tindo, J. R. M. Pone, A. Tiedeu
{"title":"Automated Exudates Detection in Retinal Fundus Image Using Morphological Operator and Entropy Maximization Thresholding","authors":"G. Kom, B. C. Wouantsa Tindo, J. R. M. Pone, A. Tiedeu","doi":"10.4236/JBISE.2019.123015","DOIUrl":"https://doi.org/10.4236/JBISE.2019.123015","url":null,"abstract":"Blindness which is considered as degrading disabling disease is the final stage that occurs when a certain threshold of visual acuity is overlapped. It happens with vision deficiencies that are pathologic states due to many ocular diseases. Among them, diabetic retinopathy is nowadays a chronic disease that attacks most of diabetic patients. Early detection through automatic screening programs reduces considerably expansion of the disease. Exudates are one of the earliest signs. This paper presents an automated method for exudates detection in digital retinal fundus image. The first step consists of image enhancement. It focuses on histogram expansion and median filter. The difference between filtered image and his inverse reduces noise and removes background while preserving features and patterns related to the exudates. The second step refers to blood vessel removal by using morphological operators. In the last step, we compute the result image with an algorithm based on Entropy Maximization Thresholding to obtain two segmented regions (optical disk and exudates) which were highlighted in the second step. Finally, according to size criteria, we eliminate the other regions obtain the regions of interest related to exudates. Evaluations were done with retinal fundus image DIARETDB1 database. DIARETDB1 gathers high-quality medical images which have been verified by experts. It consists of around 89 colour fundus images of which 84 contain at least mild non-proliferative signs of the diabetic retinopathy. This tool provides a unified framework for benchmarking the methods, but also points out clear deficiencies in the current practice in the method development. Comparing to other recent methods available in literature, we found that the proposed algorithm accomplished better result in terms of sensibility (94.27%) and specificity (97.63%).","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48253068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-03-12DOI: 10.4236/JBISE.2019.123013
G. Carneiro, Ana Paola Geronasso, Maria Elisa Brum do Nascimento, Luiz Claudio Sobrinho do Nascimento, D. Kletemberg, G. Veloso, R. Cunha, L. C. Guarita-Souza, R. Simeoni, J. C. Francisco, Kátia Renata Antunes Kochla
{"title":"The Impact of Fibromyalgia on Daily Women: A Contribution to Nursing Assistants","authors":"G. Carneiro, Ana Paola Geronasso, Maria Elisa Brum do Nascimento, Luiz Claudio Sobrinho do Nascimento, D. Kletemberg, G. Veloso, R. Cunha, L. C. Guarita-Souza, R. Simeoni, J. C. Francisco, Kátia Renata Antunes Kochla","doi":"10.4236/JBISE.2019.123013","DOIUrl":"https://doi.org/10.4236/JBISE.2019.123013","url":null,"abstract":"Objective: To evaluate the impact of fibromyalgia in daily and associated factors in women treated at the polyclinic in Parana. Method: A descriptive, cross-sectional study was conducted with individualized data for 52 women ≥ 50 years from the policlinic of the Curitiba of Parana State, Brazil. Data were collected an online survey and the quality of life was assessed by one specific instrument, the Fibromyalgia Impact Questionnaire (FIQ). Verbal or written informed consent was obtained from all participants. Results: A total of 157 patients completed the survey. The average age was approximately 50 years (range 29 - 77 years). The most frequent comorbidities were depression (61.5%) and (19%) arthrosis. Conclusion: The understanding of the commodities associated with fibromyalgia helps health professionals to reach the patient efficiently in their orientations about nursing care in women with fibromyalgia.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48099446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-02-25DOI: 10.4236/JBISE.2019.122009
Eric S. K. See, D. W. Yeung
{"title":"The Use of Neural Network Analysis of Brain 18F-FDG PET in Diagnosis of Dementia Subjects","authors":"Eric S. K. See, D. W. Yeung","doi":"10.4236/JBISE.2019.122009","DOIUrl":"https://doi.org/10.4236/JBISE.2019.122009","url":null,"abstract":"Since the world population is aging rapidly, the prevalence of dementia is also rising rapidly thus causing a great impact on individuals, families and societies. Accurate classification and level measurement of dementia are very importance in the disease management. Numerous studies show that 18F-FDG-brain scan can differentiate various types of dementia. However, correct and accurate interpretation of nuclear images requires physicians who are well experienced. Therefore, it is worthwhile to build an automatic diagnostic system for it. In this paper, we present a novel method by using an artificial neural network (ANN) to analyze CortexID of brain PET-CT scan with clinical and laboratory data for dementia classification. Moreover, the ANN was trained to indicate the clinical severity of the disease as reflected by MMSE score. All ANNs were trained and tested again with an experienced physician’s seventy diagnosis and the results were very promising. The dementia classifier achieved 96% accuracy and the mapper network could correctly predict the MMSE score with 0.782 regression value.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43734991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-02-21DOI: 10.4236/JBISE.2019.122011
M. Srinivasa, P. S. Pandian
{"title":"Wearable Wireless Body Area Nodes for Remote Physiological Signal Monitoring System","authors":"M. Srinivasa, P. S. Pandian","doi":"10.4236/JBISE.2019.122011","DOIUrl":"https://doi.org/10.4236/JBISE.2019.122011","url":null,"abstract":"Wearable remote health monitoring systems have gained significant prominence in the recent years due to their growth in technological advances. One form of the Wearable Physiological Monitoring System (WPMS) is the Wearable Body Area Networks (WBAN) used to monitor the health status of the wearer for long durations. The paper discusses a prototype WBAN based wearable physiological monitoring system to monitor physiological parameters such as Electrocardiogram (ECG) and Electroencephalogram (EEG) acquired using a textile electrode, Photoplethysmogram (PPG), Galvanic Skin Response (GSR), Blood Pressure derived from analysis of Pulse Transmit Time (PTT) and body temperature. The WBAN consists of three sensor nodes that are placed strategically to acquire the physiological signals and the sensor nodes communicate to a chest/wrist worn sink node also known as wearable data acquisition hardware. The sink node receives physiological data from the sensor nodes and is transmitted to a remote monitoring station. The remote monitoring station receives the raw data and it is processed to remove noises, such as power line interference, baseline wander and tremor in the signals and the information is extracted and displayed. The WBANs are designed using the ZigBee wireless communication modules to transmit and receive the data. At the remote monitoring station the physiological parameters such as heart rate, pulse rate, systolic, diastolic blood pressure, GSR and body temperature are continuously monitored from the wearer. The data acquired from the wearable monitoring system is statically validated using a qualified medical device on 34 subjects.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44397010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-02-21DOI: 10.4236/JBISE.2019.122008
N. Shiomi
{"title":"High Concentration of Spermine Induces the Dedifferentiation of Somatic Cells into Pluripotent Stem Cells","authors":"N. Shiomi","doi":"10.4236/JBISE.2019.122008","DOIUrl":"https://doi.org/10.4236/JBISE.2019.122008","url":null,"abstract":"Cancer tissues contain cancer stem cells (CSCs), which play important roles in cancer metastasis. However, the mechanisms through which cancer cells dedifferentiate into stem cells have not yet been elucidated. In this study, the effects of high concentrations of polyamines produced in cancer cells on dedifferentiation were examined. The results showed that when normal human fibroblasts were cultured with high concentrations of spermine, the obtained polyamine-induced cells expressed alkaline phosphatase and marker proteins of pluripotent stem cells, although apoptosis occurred in most cells. In contrast, another polyamine-induced stem (PIS) cell line (Spe-2 PIS cells), obtained by culture in medium containing Rock, p53, and Bax inhibitors plus spermine, did not show signs of apoptosis. These Spe-2 PIS cells expressed marker proteins of pluripotent stem cells and differentiated into cardiomyocytes, brown adipocytes, and nerve cells. These results suggest that a high concentration of spermine, which often induces apoptosis in normal cells, has the capacity to dedifferentiate somatic cells into pluripotent stem cells and may be associated with the dedifferentiation of cancer cells, which continuously produce high concentrations of spermine. Moreover, the procedure to obtain Spe-2 PIS cells, which is simple and efficient, may have potential applications in regenerative medicine.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42687228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-02-21DOI: 10.4236/JBISE.2019.122012
Ngoc Nguyen, Dau Phan, F. R. Lumbanraja, M. Faisal, B. Abapihi, Bedy Purnama, Mera Kartika Delimayanti, Kunti Robiatul Mahmudah, Mamoru Kubo, K. Satou
{"title":"Applying Deep Learning Models to Mouse Behavior Recognition","authors":"Ngoc Nguyen, Dau Phan, F. R. Lumbanraja, M. Faisal, B. Abapihi, Bedy Purnama, Mera Kartika Delimayanti, Kunti Robiatul Mahmudah, Mamoru Kubo, K. Satou","doi":"10.4236/JBISE.2019.122012","DOIUrl":"https://doi.org/10.4236/JBISE.2019.122012","url":null,"abstract":"In many animal-related studies, a high-performance animal behavior recognition system can help researchers reduce or get rid of the limitation of human assessments and make the experiments easier to reproduce. Recently, although deep learning models are holding state-of-the-art performances in human action recognition tasks, these models are not well-studied in applying to animal behavior recognition tasks. One reason is the lack of extensive datasets which are required to train these deep models for good performances. In this research, we investigated two current state-of-the-art deep learning models in human action recognition tasks, the I3D model and the R(2 + 1)D model, in solving a mouse behavior recognition task. We compared their performances with other models from previous researches and the results showed that the deep learning models that pre-trained using human action datasets then fine-tuned using the mouse behavior dataset can outperform other models from previous researches. It also shows promises of applying these deep learning models to other animal behavior recognition tasks without any significant modification in the models’ architecture, all we need to do is collecting proper datasets for the tasks and fine-tuning the pre-trained models using the collected data.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44575126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-02-21DOI: 10.4236/jbise.2019.122006
L. Ye, Xiaoming Sun, Yuguang Zhang, Ying Zhang
{"title":"Hypoxic Condition Up-Regulates the Expression of Angiopoietin-2 in ADSCs","authors":"L. Ye, Xiaoming Sun, Yuguang Zhang, Ying Zhang","doi":"10.4236/jbise.2019.122006","DOIUrl":"https://doi.org/10.4236/jbise.2019.122006","url":null,"abstract":"Wound healing requires abundant nutrition and blood supply, thus angiogenesis is a vital stage in this process. Angiogenesis involves diverse kinds of immune cells, growth factors, cytokines and inhibitors. ADSCs, especially ADSCs cultured in hypoxic condition, are reported to be able to facilitate angiogenesis and promote wound healing process. Significant efforts have been made on the development of ADSCs-based therapies with wound-healing applications. Here the results showed that expression of Angiopoietin-2 (ANGPT2) in ADSCs was up-regulated in the hypoxic condition.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49012788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-01-29DOI: 10.4236/JBISE.2019.121005
Tai-jin Kim
{"title":"Spanish Flu, SARS, MERS-CoV by CO2 Emission and Maximal Sunspot Number","authors":"Tai-jin Kim","doi":"10.4236/JBISE.2019.121005","DOIUrl":"https://doi.org/10.4236/JBISE.2019.121005","url":null,"abstract":"The 1918 Spanish flu, 2002 severe acute respiratory syndrome (SARS), and 2012 Middle East respiratory syndrome coronavirus (MERS-CoV) were investigated to reveal their causes and routes of transmission. They have the common features such as 1) the induction by viruses (Spanish flu; avian influenza virus (AIV), SARS and MERS-CoV; coronavirus), 2) the outbreak during the maximal sunspot number, 3) the aeolian desert dust region (Spanish flu; Saharan, SARS; Asian, MERS-CoV; Arabian), and 4) similar incubation period (AIV; 5, SARS; 2 - 7, MERS-CoV; 5 days), 5) different transmission reservoir (Spanish flu; aquatic bird/swine, SARS; bat, MERS-CoV; bat/dromedary camel). When carbon dioxide (CO2) combustion emissions were simultaneously high at the maximal sunspot number, UV radiation in the Poles was so extensive to mutate the aquatic virus through the food web to be the fundamental reason for these pandemic. Guangdong Province and Hong Kong in China are the source of 2002-2003 SARS. The stranded dead whales and dolphins along the coast of the Persian Gulf might be fed on by coastal animals in the Arabian Desert to transmit MERS-CoV. Mutations in the hot temperature in the Arabian Desert and Persian Gulf, and the maximal sunspot numbers were observed in Saudi Arabia. Saudi crude burn in power plants since 2009 with coincidental outbreaks of MERS-CoV in Saudi Arabia since 2012 peaking in 2014. The reduction of CO2 emissions by nuclear power plants is a unique solution to decrease MERS-CoV outbreaks.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41556484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
生物医学工程(英文)Pub Date : 2019-01-29DOI: 10.4236/jbise.2019.121004
Lu Kou, David Zhang, J. You, Yi-Chang Jiang
{"title":"Breath Analysis for Detecting Diseases on Respiratory, Metabolic and Digestive System","authors":"Lu Kou, David Zhang, J. You, Yi-Chang Jiang","doi":"10.4236/jbise.2019.121004","DOIUrl":"https://doi.org/10.4236/jbise.2019.121004","url":null,"abstract":"Recently, biological technology and computer science are of great importance in medical applications. Since one’s breath biomarkers have been proved to be related with diseases, it is possible to detect diseases by analysis of breath samples captured by e-noses. In this paper, a novel medical e-nose system specific to disease diagnosis was used to collect a large-scale breath dataset. Methods for signal processing, feature extracting as well as feature & sensor selection were discussed for detecting diseases on respiratory, metabolic and digestive system. Sequential forward selection is used to select the best combination of sensors and features. The experimental results showed that the proposed system was able to well distinguish healthy samples and samples with different diseases. The results also showed the most significant sensors and features for different tasks, which meets the relationship between diseases and breath biomarkers. By selecting best combination of different sensors and features for different tasks, the e-nose system is shown to be helpful and effective for diseases diagnosis on respiratory, metabolic and digestive system.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43869349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}