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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Wireless Non-Invasive Advanced Control of Microprocessor Prostheses and Orthoses

    SBC: LIBERATING TECHNOLOGIES INC            Topic: DHP17A005

    There are several current and imminent orthotic and prosthetic (O&P) fitting scenarios that would greatly benefit from the ability to wirelessly collect and transmit physiological information from the user. Both upper- and lower- limb O&P fittings that: 1) use osseointegration, 2) have cable management issues, and 3) could benefit from physiological information from locations proximal to the prost ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  2. RASP- Automated Scoring Program for Rodent Ultrasonic Vocalizations (USVs)

    SBC: Mide Technology Corporation            Topic: DHP16C003

    Rodents serve as models for the human brain and behavior, and their calls give researchers a window into their mood. Unfortunately, rodent calls are ultrasonic, so a researcher must record a test and then play the audio back at a slower speed to manually categorize and count calls. Software does exist to accomplish this task, but it does not have the ease of use or accuracy that researchers want. ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  3. Portable, Non-Contact, Quantitative, Physiology and Health Assessment Imaging System

    SBC: Bodkin Design & Engineering, LLC            Topic: DHP16C005

    Accurate assessment of burn depth and surface area are important to clinical decision-making regarding treatment. Initial assessment determines fluid requirements and transportation decisions to distant-care facilities. The clinician must determine if the wound will heal itself or whether excision and grafting are necessary for optimal wound healing. The standard of care remains visual inspection ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  4. Bio-magnetic Detection of Neuromuscular and Wound Related Injuries

    SBC: Triton Systems, Inc.            Topic: DHP17A001

    It is generally recognized that the human body transmits electro-magnetic fields (EMF). The Phase I program demonstrated a practical solution to detect these emissions. The technology was shown to be compatible for integration into wearable textiles. The Phase 2 program will focus on demonstrating the capability of discriminating between healthy and injury related EMF emissions such that it can be ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  5. Medical Device to Assess the Viability of Tissue Prior to Skin Grafting

    SBC: Spectral Md, Inc.            Topic: DHP17A006

    The primary objective of this Phase II proposal is to construct and validate the portable SpectralMD DeepView imaging technology designed previously in Phase I. This device allows surgeons to quickly and objectively assess tissue viability in burn surgery prior to skin grafting. DeepView uses machine learning and multispectral imaging to generate quantitative prognostic images with easily interpre ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  6. A Portable Multimodality System for in-field Airway Injury Assessment and Compliance Measurement

    SBC: Radiation Monitoring Devices, Inc.            Topic: DHP16C006

    Airway compromise is the third leading cause of potentially preventable death on the battlefield. Current evaluation techniques of the airways associated with smoke inhalation injury are highly subjective and lack the sensitivity required of an accurate diagnostic and assessment tool. The problem of detection is further compounded by the late onset of symptoms that in many cases do not present unt ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  7. Universal Plasma Generator for Selective Removal of Anti-A and Anti-B Antibodies from Donor Plasma

    SBC: Lynntech Inc.            Topic: DHP15B001

    Traumatic injury accounts for 14.2% of all fatalities. Clinical management of trauma often requires massive plasma transfusions. However, in critical combat casualty care or in civilian emergency trauma care, plasma of compatible blood group may not be readily available. Transfusion with incompatible plasma may result in potentially fatal hemagglutination in the recipient. Typeless or universal pl ...

    STTR Phase II 2017 Department of DefenseDefense Health Agency
  8. Liquid-cooled actuation to achieve greater degrees of freedom and range of motion in untethered exoskeletons

    SBC: Apptronik, Inc.            Topic: H6018135

    Apptronik Systems Inc., in cooperation with the University of Texas Human Centered Robotics Lab (HCRL) and Huston-Tillotson University Robotics Lab (a historically black college and university HBCU), endeavor to advance the movement capabilities and modularity of the exoskeleton being developed under contract #H92222-17-C-0050. The primary goal of this program is to optimize the range of movement ...

    STTR Phase II 2017 Department of DefenseSpecial Operations Command
  9. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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