Optimized Two-Stage Ensemble Model for Mammography Mass Recognition
ConclusionReported results indicated that RLMPSO-SVM recognition model is an effective tool that could assist the radiologist during the diagnosis of the presented abnormalities in mammography images. The outcomes indicated that RLMPSO-SVM significantly outperformed various SVM-based models as well as other variants of computational intelligence models including multi-layer perceptron, naive Bayes classifier, and k-nearest neighbor.Graphical abstract (Source: IRBM)
Source: IRBM - February 1, 2020 Category: Biomedical Engineering Source Type: research

Classification Performance-Based Feature Selection Algorithm for Machine Learning: P-Score
In this study, we have developed a feature selection algorithm based on decision support vectors classification performance. The method can work according to two different selection criteria. We tested the classification performances of the features selected with P-Score with three different classifiers. Besides, we assessed P-Score performance with 13 feature selection algorithms in the literature. According to the results of the study, the P-Score feature selection algorithm has been determined as a method which can be used in the field of machine learning.Graphical abstract (Source: IRBM)
Source: IRBM - February 1, 2020 Category: Biomedical Engineering Source Type: research

An Improved Method with High Anti-interference Ability for R Peak Detection in Wearable Devices
Publication date: Available online 24 January 2020Source: IRBMAuthor(s): X. Gu, J. Hu, L. Zhang, J. Ding, F. YanAbstractThe rapid development of the wearable electrocardiogram monitoring equipment increases the requirements for R peak detection in wearable devices. An improved method called ISC algorithm is proposed with high anti-interference ability for R peak detection in wearable devices based on a simple basic algorithm called SC algorithm. The proposed method is characterized by using the updated amplitude selection threshold, updated slope comparison threshold and RR interval judgement to reduce false positives and ...
Source: IRBM - January 25, 2020 Category: Biomedical Engineering Source Type: research

Editorial Board
Publication date: February 2020Source: IRBM, Volume 41, Issue 1Author(s): (Source: IRBM)
Source: IRBM - January 25, 2020 Category: Biomedical Engineering Source Type: research

IRBM: Past and Future Directions
Publication date: February 2020Source: IRBM, Volume 41, Issue 1Author(s): D. Melodelima, F. Frouin (Source: IRBM)
Source: IRBM - January 25, 2020 Category: Biomedical Engineering Source Type: research

Quantification Methodology of “Health Human Resources” Related to “Health Technologies” Based on Indicators “RhSan”, “TechSan” and “RhTech”: Application to Senegal
ConclusionTechSan, RhSan and RhTech can provide reliable decision-making tools in order to elaborate health policies in sub-Saharan African countries on more rigorous basis.Graphical abstract (Source: IRBM)
Source: IRBM - January 23, 2020 Category: Biomedical Engineering Source Type: research

Increased Co-contraction Activity During Push-Off Phase of Walking in Healthy Women
Publication date: Available online 15 January 2020Source: IRBMAuthor(s): A. Strazza, A. Mengarelli, F. Verdini, S. Cardarelli, A. Tigrini, C. Morbidoni, S. Fioretti, F. Di NardoAbstractResearch purposeThe assessment of possible gender-related differences in co-contraction activity of quadriceps femoris vs. hamstring muscles in able-bodied adults, during straight walking.MethodsStatistical gait analysis was performed on surface-EMG signals from vastus lateralis (VL), rectus femoris (RF), and medial hamstrings (MH) in 15 female (F-group) and 15 male (M-group) age-matched healthy adults. Co-contraction timing and occurrence f...
Source: IRBM - January 16, 2020 Category: Biomedical Engineering Source Type: research

Voice Pathologies Classification and Detection Using EMD-DWT Analysis Based on Higher Order Statistic Features
ConclusionHOS features show promising results in the automatic voice pathology detection and classification compared to DWT features. Thus, it can reliably be used as noninvasive tool to assist clinical evaluation for pathological voices identification.Graphical abstract (Source: IRBM)
Source: IRBM - January 7, 2020 Category: Biomedical Engineering Source Type: research

Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey
This study could be beneficial for researchers to analyze the existing state-of-art techniques used in detection of arrhythmia conditions. (Source: IRBM)
Source: IRBM - January 4, 2020 Category: Biomedical Engineering Source Type: research

New Intraclass Helitrons Classification Using DNA-Image Sequences and Machine Learning Approaches
Publication date: Available online 3 January 2020Source: IRBMAuthor(s): R. Touati, I. Messaoudi, A.E. Oueslati, Z. Lachiri, M. KharratAbstractHelitrons, eukaryotic transposable elements (TEs) transposed by rolling-circle mechanism, have been found in various species with highly variable copy numbers and sometimes with a large portion of their genomes. The impact of helitrons sequences in the genome is to frequently capture host genes during their transposition. Since their discovery, 18 years ago, by computational analysis of whole genome sequences of Arabidopsis thaliana plant and Caenorhabditis elegans (C. elegans) nemat...
Source: IRBM - January 4, 2020 Category: Biomedical Engineering Source Type: research

Novel PCG Analysis Method for Discriminating Between Abnormal and Normal Heart Sounds
Publication date: Available online 27 December 2019Source: IRBMAuthor(s): O. El Badlaoui, A. Benba, A. HammouchAbstractA novel approach for separation among normal and heart murmurs sounds based on Phonocardiogram (PCG) analysis is introduced in this paper. The purpose of this work is to find the appropriate algorithm able to detect heart failures. Different features have been extracted from time and frequency domains. After the normalization step, the Principal Component Analysis algorithm is used for data reduction and compression. Support Vectors Machine (SVM), and k-Nearest Neighbors (kNN) classifiers were used with di...
Source: IRBM - December 29, 2019 Category: Biomedical Engineering Source Type: research

Isolation of Fetal ECG Signals from Abdominal ECG Using Wavelet Analysis
ConclusionThe proposed method is promising for FECG extraction since it relies on filtering and wavelet analysis of two abdominal signals for the algorithm. The method implemented is easily adjusted based on the power levels of signals, giving it great ease of adaptation to changing signals in different biosignals applications.Graphical abstract (Source: IRBM)
Source: IRBM - December 20, 2019 Category: Biomedical Engineering Source Type: research

A Fuzzy Model for Noise Estimation in Magnetic Resonance Images
ConclusionOn simulation studies on MR phantom, noise variance is found to be well-correlated with image fuzziness. The proposed model exhibited high goodness of fit. The model is found to be superior to the noise models available in literature in terms of Root Mean Square Error (RMSE). The principle of the proposed fuzziness based noise model is straightforward compared to indirect noise models which make use of image histogram.Graphical abstract (Source: IRBM)
Source: IRBM - December 13, 2019 Category: Biomedical Engineering Source Type: research

A Wearable System for In-Home and Long-Term Assessment of Fetal Movement
Conclusion: The proposed wearable system will provide a good alternative to optimize the use of medical professionals and hospital resources, and has potential applications in the field of e-Health home care. Besides, the fetal movement acceleration signals acquired with volunteers (pregnant women) help establish an initial database for future medical analysis of sensor-recorded fetal behaviors.Graphical abstract (Source: IRBM)
Source: IRBM - December 6, 2019 Category: Biomedical Engineering Source Type: research

Online Classification of Multiple Motor Imagery Tasks Using Filter Bank Based Maximum-a-Posteriori Common Spatial Pattern Filters
ConclusionThe proposed FB-MAP-CSP algorithm is found to be a potential / superior method for classifying multi-condition motor imagery EEG signals in comparison to FBCSP based techniques.Graphical abstract (Source: IRBM)
Source: IRBM - November 27, 2019 Category: Biomedical Engineering Source Type: research

Human Gait Recognition Using Hip, Knee and Ankle Joint Ratios
Publication date: Available online 19 November 2019Source: IRBMAuthor(s): V.M. Akhil, M. Ashmi, P.K. Rajendrakumar, K.S. SivanandanAbstractThe estimation of joint angle ratios for healthy and afflicted subjects in characterizing the human gait has great significance in the development of limb prosthetics. The two dimensional analysis of human gait was performed and the ratio of hip to knee, knee to ankle, hip to ankle as well as the time taken for achieving a gait were determined. The percentage of affliction was computed based on the joint angle ratios and comparison was made with healthy gait. The joint ratios were fed a...
Source: IRBM - November 20, 2019 Category: Biomedical Engineering Source Type: research

A Novel Wearable Real-Time Sleep Apnea Detection System Based on the Acceleration Sensor
ConclusionsThis work proposed using an acceleration sensor as a reliable method of sleep apnea screening, detection of an apnea event, sending alert to the patient, and detection of the patient lying position. The developed device is more economical, comfortable, and convenient than existing systems for not only the patients but also the doctors. The patients can easily use this device in their home environment.Graphical abstract (Source: IRBM)
Source: IRBM - November 17, 2019 Category: Biomedical Engineering Source Type: research

A Non-invasive Method for Determining Biomechanical Properties of the Internal Carotid Artery
Publication date: Available online 14 November 2019Source: IRBMAuthor(s): A. Ayadi, W. Sahtout, O. BalédentAbstractObjectivesMechanical properties of the carotid artery play an important role in the progression of arterial disease such as atherosclerosis. An early change in the mechanical properties of the arteries can be introduced as a novel risk factor for cardiovascular events. The aim of this study is to estimate, in vivo, the elastic biomechanical properties of the internal carotid wall (ICA), from the noninvasive determination of the local arterial wave speed (c).Material and methodsTo achieve this objective,...
Source: IRBM - November 15, 2019 Category: Biomedical Engineering Source Type: research

Editorial Board
Publication date: December 2019Source: IRBM, Volume 40, Issue 6Author(s): (Source: IRBM)
Source: IRBM - November 8, 2019 Category: Biomedical Engineering Source Type: research

A Review of Ultrasound Imaging Techniques for the Detection of Down Syndrome
Publication date: Available online 5 November 2019Source: IRBMAuthor(s): S.P. Arjunan, M.C. ThomasAbstractDown syndrome is the most common chromosomal disorder that affects the life of a person. Early detection of Down syndrome is important and significant for a better assessment of the fetus. The detection can be performed by identifying various parameters from the ultrasound images recorded during the 1st (11-14 weeks) and 2nd trimester (15-22 weeks) of the gestational period. The most important features are short Nasal bone (Hypoplasia) or absence of nasal bone, increased thickness of the back of the neck, fetal heart r...
Source: IRBM - November 6, 2019 Category: Biomedical Engineering Source Type: research

A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models
In this study, lung X-ray images that are available for the diagnosis of pneumonia were used. The convolutional neural network was employed as feature extractor, and some of existing convolutional neural network models that are AlexNet, VGG-16 and VGG-19 were utilized so as to realize this specific task. Then, the number of deep features was reduced from 1000 to 100 by using the minimum redundancy maximum relevance algorithm for each deep model. Accordingly, we achieved 100 deep features from each deep model, and we combined these features so as to provide an efficient feature set consisting of totally 300 deep features. I...
Source: IRBM - November 6, 2019 Category: Biomedical Engineering Source Type: research

Intelligent Toilet System for Non-invasive Estimation of Blood-Sugar Level from Urine
DiscussionThis system is efficient to estimate blood sugar level from urine. This system senses the urine sugar level indirectly using the color sensor. The color sensor is not directly in touch with the chemical of the reaction chamber. The normal toilet cleaning (acidic) solution can be used to clean the chambers. So, maintenance process is quite easy. The proposed system can reduce the probability of glaucoma, kidney problem etc. by assisting doctors to control high blood sugar level through regular monitoring of urine sugar level.Graphical abstract (Source: IRBM)
Source: IRBM - November 1, 2019 Category: Biomedical Engineering Source Type: research

R-Peak Detection Using Chaos Analysis in Standard and Real Time ECG Databases
ConclusionThe proposed technique outperforms the other existing works on various selected evaluation parameters even without pre-processing. Hence, the proposed technique has successfully demonstrated its ability to discriminate different types of heartbeats in most of the critical situations. Therefore, there are strong merits in using chaos analysis as a feature extraction method to reduce the incidence of false diagnosis.Graphical abstract (Source: IRBM)
Source: IRBM - October 25, 2019 Category: Biomedical Engineering Source Type: research

Multi-day Longitudinal Assessment of Physical Activity and Sleep Behavior Among Healthy Young and Older Adults Using Wearable Sensors
ConclusionThe advantages of collecting longitudinal data about human movement and sleep transition data can lead us to important clinical diagnosis. The information from longitudinal assessment can help develop lifestyle interventions for disease prevention, monitoring of chronic diseases to prevent or slow disease progression among elderly people.Graphical abstract (Source: IRBM)
Source: IRBM - October 24, 2019 Category: Biomedical Engineering Source Type: research

Assessment of Techniques for Teaching School Children with Autism
ConclusionResults of our study revealed that raw and the standard scores of stereotyped behaviors was notably (p
Source: IRBM - October 22, 2019 Category: Biomedical Engineering Source Type: research

An Efficient Automated Algorithm for Distinguishing Normal and Abnormal ECG Signal
ConclusionThe ECG signal representing the electrical activity of the heart at different time intervals involves some important information. The signal is considered as one of the common tools used by physicians to diagnose various cardiovascular diseases, but unfortunately the proper diagnosis of disease in many cases is accompanied by an error due to limited time accuracy and hiding some important information related to this signal from the physicians' vision leading to the risks of irreparable harm for patients. Based on the results, designing the proposed alarm system can help physicians with higher speed and accuracy i...
Source: IRBM - October 11, 2019 Category: Biomedical Engineering Source Type: research

Myocardial Infarction Detection and Localization Using Optimal Features Based Lead Specific Approach
ConclusionThus for MI detection and localization, the proposed technique is independent of time-domain ECG fiducial markers and can work using specific leads of ECG.Graphical abstract (Source: IRBM)
Source: IRBM - October 6, 2019 Category: Biomedical Engineering Source Type: research

Editorial Board
Publication date: October 2019Source: IRBM, Volume 40, Issue 5Author(s): (Source: IRBM)
Source: IRBM - September 26, 2019 Category: Biomedical Engineering Source Type: research

Prognosis Analysis of Heart Failure Based on Recurrent Attention Model
ConclusionExperiments show that the prognostic effect of the recurrent attention model is significantly higher than that of other traditional machine learning models. Because the model increases the attention mechanism, the important features affecting the prognostic results are obtained, which enables doctors to prescribe drugs according to the symptoms, take timely precautions and help patients to treat in time.Graphical abstract (Source: IRBM)
Source: IRBM - September 14, 2019 Category: Biomedical Engineering Source Type: research

A Deep Learning Architecture for P300 Detection with Brain-Computer Interface Application
Publication date: Available online 11 September 2019Source: IRBMAuthor(s): S. Kundu, S. AriAbstractIn this paper, a brain-computer interface (BCI) system for character recognition is proposed based on the P300 signal. A P300 speller is used to spell the word or character without any muscle movement. P300 detection is the first step to detect the character from the electroencephalogram (EEG) signal. The character is recognized from the detected P300 signal. In this paper, sparse autoencoder (SAE) and stacked sparse autoencoder (SSAE) based feature extraction methods are proposed for P300 detection. This work also proposes a...
Source: IRBM - September 12, 2019 Category: Biomedical Engineering Source Type: research

Patient-Specific Epileptic Seizure Prediction in Long-Term Scalp EEG Signal Using Multivariate Statistical Process Control
ConclusionThis study proposed a temporal based patient-specific epileptic seizure prediction method using MSPC in long-term scalp EEG signals. It also provides the possibility of realizing an EEG-based epileptic seizure prediction system which requires less computational power.SignificanceThe proposed method does not require preictal data for modeling. The extracted features are computationally easy. The tested result shows good accuracy on the CHB-MIT data base.Graphical abstract (Source: IRBM)
Source: IRBM - September 12, 2019 Category: Biomedical Engineering Source Type: research

Micropatterning and Alignment of Skeletal Muscle Myoblasts Using Microflowed Plasma Process
ConclusionThis study corroborates the alignment of the myoblasts using surface cues facilitated by changing surface chemistry of the glass substrates. The study promotes the application of a simple micropatterning technique as a useful tool to regulate the orientation and behaviour of skeletal muscle cells. Also, the study emphasizes the role of spatial topography created by surface modification and its effect on cell adhesion and communication of alignment information across the micropatterns. The microchannel flowed plasma process could be applied to selectively pattern different adherent cell types, which could prove to...
Source: IRBM - September 10, 2019 Category: Biomedical Engineering Source Type: research

Flexible Analytic Wavelet Transform Based Features for Physical Action Identification Using sEMG Signals
ConclusionThis paper investigates the usage of the FAWT and ELM on sEMG signal classification. The results show that the proposed method is quite efficient in classification of the sEMG signals. It is also observed that the seventh sub-band of the FAWT provides the best discrimination property. In the future works, recent wavelet transform methods will be used for improving the classification performance.Graphical abstract (Source: IRBM)
Source: IRBM - August 6, 2019 Category: Biomedical Engineering Source Type: research

Influence of Different Abutment Designs on the Biomechanical Behavior of One-Piece Zirconia Dental Implants and Their Surrounding Bone: A 3D-FEA
ConclusionThe one-piece zirconia dental implant abutment Model 01 presents a better biomechanical behavior in the peri-implant bone than others. It can efficiently distribute the applied load and present more homogeneous behavior of stress distribution and has less deformation than others, which will enhance the stability of implant/bone system and prolong its lifespan.Graphical abstract (Source: IRBM)
Source: IRBM - August 6, 2019 Category: Biomedical Engineering Source Type: research

Low Frequency Impedimetric Cell Counting: Analytical Modeling and Measurements
ConclusionThe work demonstrates a rapid and deterministic approach to estimate lymphocyte count which will augment the existing prediction techniques for relevant physiological disorders.Graphical abstract (Source: IRBM)
Source: IRBM - July 31, 2019 Category: Biomedical Engineering Source Type: research

Editorial Board
Publication date: August 2019Source: IRBM, Volume 40, Issue 4Author(s): (Source: IRBM)
Source: IRBM - July 20, 2019 Category: Biomedical Engineering Source Type: research

A Modified DWT-SVD Algorithm for T1-w Brain MR Images Contrast Enhancement
ConclusionProposed method improved performance of contrast enhancement image without creating unwanted artifact and without destroying image edge information or affecting the specificities of brain tissues. This is due to the use of an empirically (μ) parameter adjustable according to the input MR images. Hence, the proposed approach is appropriate for enhancing contrast of huge type of low contrast images.Graphical abstract (Source: IRBM)
Source: IRBM - July 11, 2019 Category: Biomedical Engineering Source Type: research

Computationally Efficient Cosine Modulated Filter Bank Design for ECG Signal Compression
Publication date: Available online 1 July 2019Source: IRBMAuthor(s): S. Chandra, A. Sharma, G.K. SinghAbstractIn this work, computationally efficient and reliable cosine modulated filter banks (CMFBs) are designed for Electrocardiogram (ECG) data compression. First of all, CMFBs (uniform and non-uniform) are designed using interpolated finite impulse response (IFIR) prototype filter to reduce the computational complexity. To reduce the reconstruction error, linear iteration technique is applied to optimize the prototype filter. Then after, non-uniform CMFB is used for ECG data compression by decomposing ECG signal into var...
Source: IRBM - July 3, 2019 Category: Biomedical Engineering Source Type: research

Semi-Quantitative Comparison of Infrared Thermography with Indocyanine Green Imaging in Porcine Intestinal Resection
ConclusionBased on experiments, the infrared thermography can be considered as one of complementary imaging methods suitable for use during anastomosis surgery. The sensitivity and versatility of the infrared thermography method was demonstrated. There was confirmed agreement in obtained information about the position of area with maximal blood insufficiency obtained by IRT with the information obtained by using the ICG method.Graphical abstract (Source: IRBM)
Source: IRBM - July 3, 2019 Category: Biomedical Engineering Source Type: research

Proposing a Radial Basis Function and CSDM Indices to Predict the Traumatic Brain Injury Risk
ConclusionsThe results of this research demonstrated that rotational impact directions should be used to develop new head injury criteria being able to predict CSDM values. However, findings of present research proved that head motion-based brain injury criteria and RBF network can be used to predict FE head model responses with high speed and accuracy.Graphical abstract (Source: IRBM)
Source: IRBM - June 20, 2019 Category: Biomedical Engineering Source Type: research

Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images
This study could be beneficial for: (i) Clinicians to receive second opinion from the CAD system for early diagnosis, and (ii) Researchers to analyze and enhance the existing state-of-art techniques used in CAD system, which may further reduce the gap of variability between intra and inter observer.Graphical abstract (Source: IRBM)
Source: IRBM - June 15, 2019 Category: Biomedical Engineering Source Type: research

High-Intensity Focused Ultrasound Using a Toroidal Transducer as an Adjuvant Treatment for Placenta Accreta: A Preliminary Ex Vivo Study
The objective of this study was to evaluate the feasibility of treating placenta accreta with high-intensity focused ultrasound (HIFU) using an ex vivo model.Material and methodsA toroidal HIFU transducer working at 2.5 MHz with an integrated ultrasound-imaging probe was used. Ex vivo experiments were performed in eight human placentae (from 39 to 40 weeks) within a configuration that mimicked clinical conditions as closely as possible. The fetal side of the placenta was placed in contact with the sterile envelope that covered the HIFU device to simulate the uterine serosa. HIFU lesions were studied on sonograms and macros...
Source: IRBM - June 12, 2019 Category: Biomedical Engineering Source Type: research

A New Design of Mental State Classification for Subject Independent BCI Systems
ConclusionsOur proposed design will help to make a new technology for development of real-time SI based BCI systems that can be more supportive for the motor disabled patients.Graphical abstract (Source: IRBM)
Source: IRBM - June 12, 2019 Category: Biomedical Engineering Source Type: research

Microelectrode Neuronal Activity of the Internal Globus Pallidus in Dystonia Correlates with Postoperative Neuromodulation Effects and Placement of the Stimulation Electrode
In this study, 13 patients chronically treated with double-sided DBS GPi were examined with a microrecording. The signal (24 kHz) processing, included bandpass filtering (0.5–5 kHz), automated detection of artefacts and feature extraction. Pre-processed signals were analysed by means of statistical learning.ResultsThe results show that the GPi was distinguished from its vicinity with p
Source: IRBM - June 5, 2019 Category: Biomedical Engineering Source Type: research

A Novel Technique to Design and Optimize Performances of Custom Load Cells for Sport Gesture Analysis
DiscussionThe conducted analysis enables to calculate the sensitivity of the load cell to the exerted forces, and evaluates its dependence to the positioning of strain gauges, and makes it possible to appropriately choose strain gauges positioning in areas where border effects are minimized. The strain distributions obtained by the FEM analysis in the presented load cells gives useful indications for all the situations where small strain gauges are requested to be mounted on a reduced offered area.Graphical abstract (Source: IRBM)
Source: IRBM - June 5, 2019 Category: Biomedical Engineering Source Type: research

Determination of the Blood, Hormone and Obesity Value Ranges that Indicate the Breast Cancer, Using Data Mining Based Expert System
In this study, decision trees that is one of data mining method was applied to anthropometric data and blood analysis values to complete the mentioned deficiencies in breast cancer diagnosis aiming studies. The determined value ranges were also presented visually to medical experts understand them easily. The proposed diagnostic system has accuracy rate up to 90.52% and provides value ranges indicating the breast cancer as well as mathematically presents the relations between the values and cancer.Graphical abstract (Source: IRBM)
Source: IRBM - June 2, 2019 Category: Biomedical Engineering Source Type: research

Cytotoxic Effect of Photoluminescent RE3+ Doped Ca3(PO4)2 Nanorods on Breast Cancer Cell Lines
ConclusionThe results suggest that Ca3(PO4)2:Tb3+, Ce3+ phosphor may be useful for therapeutic application in clinical settings.Graphical abstract (Source: IRBM)
Source: IRBM - May 24, 2019 Category: Biomedical Engineering Source Type: research

A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces
ConclusionsThe obtained results show that the proposed method is quite efficient in digitization of the CTG signals. In future works, this tool will be used to digitize the recordings belonging to the antepartum period collected from the obstetrics clinics in Medical Park Hospital in Elazığ, Turkey.Graphical abstract (Source: IRBM)
Source: IRBM - May 23, 2019 Category: Biomedical Engineering Source Type: research

Editorial Board
Publication date: June 2019Source: IRBM, Volume 40, Issue 3Author(s): (Source: IRBM)
Source: IRBM - May 21, 2019 Category: Biomedical Engineering Source Type: research

Raman Spectroscopy: Application in Periodontal and Oral Regenerative Surgery for Bone Evaluation
ConclusionsThe spectra intensity variation related to the specific bone constituents' concentrations, before and after healing, is reflecting the rate of the healing process mostly by the changes that occurred for the calcified tissues. Moreover, the bone sample fluorescence is related to the collagen content, enabling the quantification of healing process.Clinical relevanceTherefore, since a complete evaluation of the processed spectra offers quantitative information for bone samples, Raman spectroscopy can be considered a viable investigation method (even forensics) for periodontal disease and bone quality assessment.Gra...
Source: IRBM - May 15, 2019 Category: Biomedical Engineering Source Type: research