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Current R&D Projects

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BIOMED Medical Systems is currently running the following R&D Projects in Biomedical Signal Processing and Analysis Systems, and Biomedical Image-Video Processing and Analysis Systems with Software Design, Development, and Integration based on Innovative and Advanced, Prototyped Mathematical and Statistical Algorithms.

3D CT/MRI Medical Brain Imaging & 3D Volume Reconstruction Software
3D CT/MRI Medical Brain Imaging is an advanced 3D Medical Imaging & 3D Volume Reconstruction Software that takes 2D CT/MRI images from any CT/MRI equipment and synthesizes into 3D volume pixels. The Software is also capable of 3D Image Segmentation of ROI volume that corresponds to cancer tumors. The software provides 3D Image Analysis, Statistics, XYZ Measurements, Image Filtering and Enhancement and 2D Image Processing.
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The 3D CT/MRI Medical Brain Imaging & 3D Volume Reconstruction Software is capable of 3D Medical Image Processing, 3D Rendering, Volume Reconstruction, 3D CT Tomography, 3D Segmentation, 3D Analysis

2D CT Brain Medical Imaging Software
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Endoscoping Imaging Software & Hardware System
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OptoBioSense System
OptoBioSense proposes an advanced and innovative virtual physiological human bio-sensing, monitoring, and diagnosing medical system that will support multi-medical applications for monitoring and diagnosis of medical conditions. OptoBioSense introduces a novel telemedicine system that obtains data using cutting edge optical bio-sensing technology, and can monitor, communicate and maintain patients' and athletes' physical health condition and associated metrics. The received signals will be filtered and compressed using optimised DSP algorithms before being transmitted to the communication devices and network for monitoring. The resulting bio-signals will be sent locally to a new software application designed to support data viewing for e.g. a coach, a nurse and even athletes and patients themselves. For local monitoring the project will focus on smart phone and handheld devices and the corresponding local monitoring software application will be designed to meet the necessary technological and platform requirements. Particular focus will be placed on the wireless communication technologies used for transmitting and receiving the bio-signals. The information will also be forwarded to a central communication base from where it will be sent to a web server, stored on a centralized server and supported by a database management system. The database management system will be a placeholder of medical records that will be continuously updated. The updated medical records and real-time patient information will be accessible remotely by medical centres or on-site by doctors for further analysis and diagnosis. OptoBioSense will be operated as a software-hardware solution for cardiovascular and biological sensing, monitoring, and diagnosing based on multi-data fusion and statistical digital signal processing (DSP) models for patients, non-patients, athletes, elderly care people, and living people from far-distance health-care centres or hospitals. It introduces a multi-parameter bio-physiological vital signal monitoring and processing of the following biomedical signals: SpO2 (Blood oxygen level), respiratory motion, heart rate, skin temperature, perspiration, electro-cardio-gram ECG, body area strain, body area pressure, glucose level, and blood pressure. One of the main breakthroughs is that the OptoBioSense will incorporate scientific research analysis and technological developments in advanced FOS such as: POF Polymer Optical Fibers (Bragg gratings), and Femtosecond Machining of conventional fibers as bire fringent sensors incorporating Bragg gratings. Each bio-physiological signal parameter will be defined by a special embedded FOS defined as a technical textile or as integrated in silicon (Silica Fibers).
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Health Monitoring & Diagnosing System
Health monitoring is mainly used for medical observation and evaluation by medical doctors/physicians. There are several health monitoring displays and software offering medical data observation but none with advanced monitoring, detection, and diagnosis of critical health reports. The basic objective here is to track, detect, and identify possible sequence-data-patterns in each bio-physiological signal and correlate them based on statistical signal processing and advanced DSP detection algorithms. Considering the DSP hardware implementation as shown in figure 4.0, the end user can retrieve and monitor the health status of the patient/home user/athlete. In addition, a statistical and correlated diagnostic health report will be given based on each biomedical signal, and on an overall statistical comparison for the detection of possible health abnormalities or deceases. The following diagram can serve a diagnostic centre for clinics, hospitals, home medical base, sports centre, smart mobile phone or PDA, laptop or a stationary pc.
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Medical Vital Signs Monitoring Mobile System
The medical vital signs monitoring mobile (MVISIMMO) system proposes the designing and developing of a new advanced and innovative diagnostic, monitoring portable, and wireless medical device that will continuously transmit real-time medical data in a Wi-Fi wireless environment based on Bluetooth technology such as: ECG, HR, PAR, SPO2, HBP-LBP-ABP, R-BR , and ST. The MVISIMMO is an innovative portable and mobile telemedicine monitoring system that will provide vital physiological and bio-signals of the heart and oxygen to cancer, cardiovascular, and critically care patients, but also for any patient or person needs to monitor or diagnose or make measurements for the biomarkers of electro-cardio-graph (ECG), heart rate (HR), pulse artery rate (PAR), saturation oxygen levels (SPO2), non-invasive high-low-average blood pressure HBP-LBP-ABP, respiration (R)-breathing rate (BR), and skin temperature (ST). The MVISIMMO system consists of a single medical diagnostic device that continuously monitors all seven (7) vital signs: ECG, HR, PAR, SPO2, HBP-LBP-ABP, R-BR , and ST; using a fiber optical sensor on the finger-tip and 3-Lead or 5-Lead chest sensors for high-precision of vital signs monitoring. The measurements are displayed on a device resembling a smart medical watch that is worn on the wrist. The seven (7) vital signs are monitored through a Bluetooth-WiFi wireless technology, whereas the vital signs data can be transmitted across a hospital-clinic-medical center network to any PC workstation or mobile handheld device such as : smartPhone, iPhone, tablet, iPad, blackberry, from anywhere and anytime.
An additional R&D technology and innovation of the MVISIMMO system, is that a non-invasive blood pressure (n-IBP) is measured based on smart DSP and statistical machine learning algorithms related to the ECG and SPO2 signal that BMS BIOMED Ltd has recently developed. This innovative n-IBP technology is based on statistical signal processing using the pulse transition time (PTT) and the Systolic with Diastolic peaks, and will be soon published and patented as continuous and automated n-IBP computed based on real-time. Furthermore, to efficiently capture, store, process and make all of this data available, a cloud-based IoT backend system will be developed. This IoT platform will allow for centralized processing of data, combining both real-time and batch analytics. It will have a scalable capture system, allowing the number of devices to rapidly expand in the future. By providing a cloud-based solution, there is an ability to make the data available to mobile apps or directly from a web portal. Centralizing the data opens up further use-cases for doctors, patients and especially researchers to perform advanced data mining by using the large pool of data and combining it with other rich datasets.
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The main R&D objectives of the IMVISIMMO system is to provide continuous, real-time, high-precision biomarkers such as ECG, HR, PAR, SPO2, HBP-LBP-ABP, R-BR , and ST that will be digital signal and statistically processed, analyzed, detect, correlate, prognose, and diagnose abnormalities and critical events for cardiovascular, cancer, chronic diseases; but to also interpret and better understand these diseases and immediately provide medical evaluation by a medical doctor with the analogues medical evaluation, response, and recommend the corresponding therapy. These medical vital signs called as ‘biomarkers’ will be processed and analyzed based on our new smart and advanced developed digital signal processing (DSP) algorithms to obtain the essential information needed to classify, detect, and track diseases (diabetes, cardiovascular, and cancer), describe health condition of a patient but also to diagnose, pro-gnose, detect, monitor the diseases (diabetes, cardiovascular, and cancer) and to recommend the corresponding medical therapy that will be given by the medical expert or dr. Based on the biomarkers detection, tracking, statistical processing, analysis, and cross correlation of the biomarkers, the developed software will generate an intelligent medical report stating the health status and the main disease category detected for the cardiac and cancer patients such as (i) Cardiac disease: brain stroke, heart valve problems, carotid artery stenosis, heart arrhythmia, cardio failure, ischemic, (ii) Cancer disease: lung cancer, liver and pancreas cancer, prostate cancer, respiration problems, and (iii) other chronic diseases: diabetes, epilepsy, asthma, Alzheimer, obesity and overweight, arthritis, etc.
3D Ultrasound Medical Imaging Software
ECG-Cardio Rest Bio-Medical Monitoring Software
ECG-Cardio Stress Bio-Medical Monitoring Software
ECG-Cardio Advanced Bio-Medical Diagnostic Software

Opto-Acoustic and Endoscopic Imaging System for Ultrasound Cancer diagnosis and therapy

Abstract: An Opto-Acoustic and Endoscopic Imaging System for Ultrasound Cancer diagnosis and therapy based on Ultrasonic polymer optical fibre (POF) sensor is introduced in this project. Endoscopes are often used in the prevention, early detection, diagnosis, staging, and treatment of Cancer, but there are lots of technical and technological barriers to move in smaller areas and deeper human tissues. In the recent years, the fiber optic technology, cables, and sensors have been dramatically advanced and offered new micro-structures in both sensing and providing new abilities to transmit light at different light wavelength of frequency bandwidth providing more flexibility and more advantages. With the Endoscopic Ultrasound Imaging (EUSI) is a medical procedure that uses sound or acoustic waves to create visual or optical images of the human body organs and areas of interest. The technological innovation is to design and develop a new advanced micro-fiber optic endoscope that will be used for minimally invasive operations in human organs for Cancer diagnosis and for medical therapy. The medical innovation is to detect the size and location of a tumor in the pancreas, liver, lungs, and other human organs, whether the tumor has spread to nearby lymph nodes or invaded nearby blood vessels or other structures. In addition, the medical advantage is to directly provide therapy based on ultra high frequency.
  • Minimally Invasive Endoscopic Medical Imaging for Cancer Diagnosis
  • Opto-Acoustic or UltraSound Medical Imaging for Cancer Therapy-Treatment
  • Catheter for taking Cancer Samples for Biopsy and Cancer Chemo-Analysis and Tests
  • Biomarkers SPO2, Temp, Pressure based on POF FBG or other Fiber Sensors