REGISTER
SIGN IN
Cerebo
SKU: MP47608
Sign in to view priceThe future of non invasive detection of intracranial hemorrhage is here.
Combining powers of light, electronics, mechanics and machine learning to study deep tissues non invasively and bring hospital grade diagnosis to point of care.
Ask for Quote
CEREBO
The future of non invasive detection of intracranial hemorrhage is here.
Combining powers of light, electronics, mechanics and machine learning to study deep tissues non invasively and bring hospital grade diagnosis to point of care.
Point of care screening device for quick detection of intracranial hemorrhage
Non invasive
Fully Automatic
Portable
Technology
Deep brain spectroscopy to investigate the brain tissue in-vivo
The optical methods used for neuromonitoring are based on emission of near-infrared light (NIR) at the surface of the head and detection of remitted light at a distance of several centimeters. The emitted light undergoes two main processes: scattering and absorption. Scattering depends on the cellular structure of the tissue and leads to stochastic movement of photons in the medium, as described by diffusion theory. The strong scattering and good transparency of tissue layers of the head for NIR light result in sufficient re-emission of photons back to the surface to allow for detection of photons that penetrated the brain cortex. The absorption is mainly associated with the interaction of photons with chromophores in the tissue, including hemoglobin, water, lipids, and a variety of proteins (such as cytochrome c).
CEREBO’s proprietary optoelectronic configuration deploying diffuse reflectance spectroscopy detects the presence of intracranial hemorrhage non invasively.
Core Competencies
NIRS
Algorithms
Software
Hardware
CEREBO’s novel application of near infrared spectroscopy makes it possible to detect intracranial hemorrhage non invasively. It is an established science that correlates optical density of near infrared light with hemoglobin concentration.
The advanced mathematics based algorithm eliminates the need of expert data interpretation. Hence the algorithm makes it usable by a common man with minimal usage training.
The self calibration and intuitive user interface makes the device very easy to use.
The miniaturized hardware is designed to bridge the limitations of traditional tools that are bulky, expensive, and need much greater infrastructure support like air conditioning to provide point-of-care detection that will assist in triaging suspected TBI patients in military, sports, and emergency or urgent care environments both in India and internationally.
Shipping Policy
Orders made at Medpick are initiated and processed for shipment upon receipt of request from the customer. Please note that our Shipping Services (Fee, Transportation, Loss or Damage of any shipment, etc.) are in accordance with the Seller's terms of Shipment.
Refund Policy
Please refer to Medpick Return Policy.
Cancellation / Return / Exchange Policy
Please refer to Medpick Return Policy.
Related products
-
Disability and Extensions, Health Innovations
FLEXMO PREMIUM UNDERARM CRUTCH
Gone are the days when your crutches would slip and fall. Flexmo’s new-age anti-slip Premium Axillary Crutches empowers you to walk on terrains with ease. The ergonomic-designed grips provide a natural wrist angle and even load across the palm. Be it a wet surface or snow, rocks or mud, experience pain-free and easy mobility with Flexmo.
SKU: MP47360 -
Health Innovations
Precision Pathology
MEDICAL IMAGING + MACHINE LEARNING
Intra-treatment Tumor assessment is a critical step to evaluate the effect of cancer treatment being adminstered and understand the need to either continue with the same or make changes to the protocol. The tumor tracking tool for treatment decision support tries to augment RECIST scoring for accurate estimate of tumor response. Combined with cross-modality analysis, this becomes a key implement available to Oncologists, Tumor boards.
The computer vision based algorithm tries to localize the spatial position of cancer. Further, it tries to find similar regions on the other views. Then, for each of the found suspicious regions, image based features are extracted. The trained model helps detect and score new patients.
CV-based algorithms have shown to successfully reduce unnecessary biopsies significantly, when used in conjunction with a radiologist reading.
SKU: MP46999
