Advanced Brain Monitoring, Inc. | Date: 2015-09-18
Adaptive performance trainer for guiding a user toward a psychophysiological state. In an embodiment, psychophysiological signal data is received from one or more sensors, and a current psychophysiological state of a user is determined based on the psychophysiological signal data. The current psychophysiological state is compared to one or more goal states, and one or more control signals are generated based on a difference between the current psychophysiological state and the one or more goal states. The control signal(s) cause one or more feedback devices to generate feedback to guide the user toward the one or more goal states. The feedback may comprise an indication to the user of the current psychophysiological state at a pace that replicates the users heartbeat.
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase II | Award Amount: 1000.00K | Year: 2013
We shall continue to develop a sensitive and selective mental workload assessment software, called PHYSIOPRINT (Physiology and Performance Research Integration Tool), that derives the workload measures in real time from multiple physiological signals (EEG, EKG, EOG, EMG) acquired by our wearable and wireless devices and processed with a suite of proprietary real-time algorithms. PHYSIOPRINT is designed around the IMPRINT model of mental workload and will ultimately discriminate between seven workload types (visual, auditory, cognitive, speech, tactile, fine and gross motor). PHYSIOPRINT will additionally provide a composite measure of overall workload construed to account for potential conflicts between different types of workload. Phase I research proved feasibility of the concept and defined the high level system architecture. Phase II research will focus on creation of the full product (software package for automated classification of mental workload) based on the Phase I concept design, and will include extensive validation studies on a large number (N = 200) volunteers in realistically simulated environments (driving and flight simulator) as well as in a real military-relevant environment (fully instrumented HMMWV).
Agency: Department of Defense | Branch: Defense Advanced Research Projects Agency | Program: SBIR | Phase: Phase II | Award Amount: 1000.00K | Year: 2013
Contemporary warfighters are tasked with maintaining a constant state of readiness and military leaders are increasingly reliant on various simulation or serious gaming platforms. Simulations are also useful in addressing the needs of warfighters suffering from mild TBI or other trauma, replacing conventional neuropsychological assessment and facilitating innovations in rehabilitation technologies. These technologies reduce training time and costs by as much as 50% but there is a dearth of objective tools for evaluating successful simulation environments. The proposed work will enrich the creation, evaluation and implementation of simulation environments for training and rehabilitation by adding real-time analysis of the subjective states of the gamers. Advances in ultra-low power electronics, ubiquitous computing, and wearable sensors enables real-time monitoring of cognitive and emotional states providing objective, timely, and ecologically valid assessments of attention, alertness, affect, workload, arousal, and other constructs essential to training and neurorehabilitation. Two projects are proposed to demonstrate the utility of real-time neurosensing, one exploring the uncanny valley effect, a current issue emerging from the collective effort of design engineers to create robots, avatars and animated characters that are acceptable replicas of humans. The second uses the same neurotechnology platform to expand applications of a closed-loop neurorehabilitation training environment.
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: STTR | Phase: Phase II | Award Amount: 738.62K | Year: 2014
DESCRIPTION provided by applicant In Phase our team was able to enhance the ABM B Alert system for use in on the road evaluations by reducing the overall profile of the hardware system introducing real time commenting for marking events in real world activities and assessing and confirming current artifact rejection algorithms for sufficiency in real world environments In addition the B Alert algorithms for engagement distraction drowsiness and workload were validated for use in the HIV population and applied in laboratory based cognitive assessments simulated driving and on the road driving The data from Phase indicate that traditional clinic laboratory assessments which have been only modestly successful in predicting real world behaviors can be enriched by the addition of EEG metrics and that this may substantially improve the prediction of real world driving difficulties Initial ata suggest that the predictors of on road driving may vary by HIV status and that age may be a factor as well Of note HIV is now considered a chronic manageable condition in individuals who have access to treatment Approximately one quarter of HIV infected HIV persons in the U S are years or older with prevalence rates in this age group expected to reach by While HIV associated neurocognitive disorders HAND are not as severe as in previous generations they remain prevalent and can impact everyday functioning including automobile driving As with other conditions clinic based NP assessments only modestly predict success or failure at real world tasks Given these factors in Phase II we propose to emphasize the application of EEG metrics in older HIV individuals The aims of this proposal are to improve the ease of use of the B Alert system within the simulation to ensure that assessment is easily executed with minimal training develop focused driving simulations that better reflect real world challenges e g in car tasks and contribute to more robust simulator based EEG data collection and extend the current findings to a larger sample focused on aging HIV participants who will complete both laboratory simulations and on the road evaluations This project will occur in two parallel branches The first branch will involve improving the ease of us of the B Alert system and expanding the neurocognitive assessments for more driving specific skills divided attention useful field of view and modifying the simulations based on Phase experience designing screening and evaluation simulations To optimize ease of use data quality monitoring options e g window in window displays with STI software remote notification of issues such as a belt buzzer or pop up on a remote screen will be developed along with one step applications with dry gel sensor interface The second branch will expand our Phase results by focusing on an aging population and increasing the sample size to HIV and HIV drivers andgt years of age All participants will complete the cognitive assessments and simulations and half of each of group will complete the on the road assessments As part of this branch we will also leverage the development of semi dry electrodes to evaluate the utility of these sensors for data quality in real world applications Participants will be recruited from the HIV Neurobehavioral Research Center and Owen HIV Clinic at UCSD If successful the proposed tool would provide researchers with a new method for assessing components of real world functioning validate the first on road driving cognitive state algorithms and develop predictors of on road driving impairments reducing the need for potentially dangerous real life driving assessments The envisioned final product would a allow for integration of in laboratory and in the wild assessments for a variety of real world applications b be available for use by researchers clinicians and public safety officials and c be relevant to a broad range of conditions including aging and various neurologic e g stroke TBI recovery and psychiatric e g substance use disorders PUBLIC HEALTH RELEVANCE Advanced Brain Monitoring ABM is developing a platform technology to evaluate on the road driving competency within the laboratory with improved predictive power beyond traditional cognitive and simulation assessments The tool integrates a brief neurocognitive assessment min that integrates easy to use portable wireless EEG and ECG with neuropsychiatric assessments relevant to driving attention useful field of view divided attention as well as simulated driving The resulting tool will provide objective predictive insight into driving competency for the aging HIV population and will likely have application across other neurological and aging disorders such as Parkinsonandapos s Disease Alzheimerandapos s Disease etc
Agency: Department of Health and Human Services | Branch: National Institutes of Health | Program: SBIR | Phase: Phase II | Award Amount: 710.66K | Year: 2016
DESCRIPTION provided by applicant It is estimated that neurodegenerative diseases causing dementia will surpass cancer as the leading cause of death by the year Alzheimerandapos s disease AD is the leading cause of dementia followed by synucleinopathies such as dementia with Lewy bodies DLB and Parkinsonandapos s disease with dementia PDD Among clinical researchers focused on investigating the varying etiologies genetic associations biomarkers and treatment options for these neurodengenerative diseases there is an urgent need for effective tools to aid in the classification of dementia subtypes in the earliest detectable stages of the pathophysiological process To address this unmet need Advanced Brain Monitoring ABM proposes to leverage two previously developed technologies to create an Integrated Neurocognitive and Sleep Behavior Profiler for the Endophenotypic Classification of Dementia Subtypes INSPECDS The core components of the INSPECDS platform will be a previously developed Alertness and Memory Profiler AMP a recently developed Sleep Profiler and integrated machine learning classification algorithms hosted on a secure cloud based infrastructure for automated data processing analysis and reporting The AMP was developed and validated during a previous NIH funded SBIR Phase I II project for the purpose of detecting the neurocognitive effects of sleep deprivation in adults diagnosed with obstructive sleep apnea The AMP is truly unique among neurocognitive testing platforms in that it is the only one which integrates advanced electrophysiological measures e g channel wireless EEG and ECG during the performance of computerized neurocognitive tasks This advanced capability permits researchers to explore real time relations between fluctuations in alertness discrete cognitive functions and specific neural processes believed to subserve observed performance deficits The Sleep Profiler is an FDA cleared easily applied wireless EEG device that was developed and validated to measure sleep architecture for in home sleep studies With integrated measures of submental chin EMG and wireless accelerometers to monitor head and limb movements the Sleep Profiler is an ideal device for quantifying the characteristics of REM sleep behavior disorder RBD which is considered to be a prodromal expression of synucleinopathy Furthermore the application of sophisticated machine learning classification algorithms will streamline the processing and analyses of these data to derive statistical probabilities of various dementia subtypes The overarching goal of the current Direct to Phase II SBIR project is to develop a secure cloud based infrastructure to compile the data obtained from the AMP and Sleep Profiler train classification algorithms to discriminate among dementia subtypes validate diagnostic accuracy and integrate optimized classifiers within the cloud based architecture Once completed the INSPECDS system will be the first clinical research tool of its kind and find immediate application in both university based research settings and pharmaceutical industry clinical trials to aid in the endophenotypic stratification of research participants PUBLIC HEALTH RELEVANCE Among clinical researchers focused on investigating the varying etiologies genetic associations clinical course and treatment options for neurodengenerative diseases there is an urgent need for effective tools to aid in the classification of dementia subtypes in the earliest detectable stages of the pathophysiological process To address this unmet need Advanced Brain Monitoring Carlsbad CA is developing Integrated Neurocognitive and Sleep Behavior Profilers for the Endophenotypic Classification of Dementia Subtypes INSPECDS which will provide an inexpensive non invasive solution combining neurocognitive electrophysiological EEG ECG EMG and sleep behavior assessment into a single integrated system featuring automated scoring and classification algorithms Once completed the INSPECDS system will be the first clinical research tool of its kind and find immediate application in university based research settings and pharmaceutical industry clinical trials to aid in the endophenotypic stratification of research participants
Agency: Department of Health and Human Services | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 1.00M | Year: 2012
The goal of this project is to develop a mobile, smartphone/tablet-based neurocognitive assessment that will provide a multifactoral (i.e., neural, physiological, performance) evaluation of cognitive functioning associated with impaired driving due to stimulant or depressant usage. The Mobile Alertness and Memory Profiler (M-AMP) will function as an essential tool for worldwide facilitation of epidemiological, comparative studies of drugged driving.
Advanced Brain Monitoring, Inc. | Date: 2014-06-24
Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the users compliance with the position therapy is then provided based, at least in part, on the duration of use.
Advanced Brain Monitoring, Inc. | Date: 2014-06-24
A wearable positional therapy device for influencing a position of a user. In an embodiment, the device comprises a position detector that generates positional data used to determine a position of a user, a feedback generator that generates feedback to the user, and a microcontroller. The microcontroller is configured to receive and analyze the positional data to determine whether the user is in a target position, while, in response to the device being turned on or a reset operation, delaying feedback for a delay period. If it is determined that the user is in the target position during the delay period, no feedback is provided. However, if it is determined that the user is in the target position following the delay period, feedback is provided to the user to induce the user to change to a different, non-target position.
Advanced Brain Monitoring, Inc. | Date: 2013-01-14
Systems and methods for assessment of sleep quality in adults and children are provided. These techniques include an apparatus worn above the forehead containing the circuitry for collecting and storing physiological signals. The apparatus integrates with a sensor strip and a nasal mask to obtain the physiological signals for the user. The form factor of this apparatus is comfortable, easy to self-apply, and results in less data artifacts than conventional techniques for capturing physiological data for analyzing sleep quality. Neuro-respiratory signals are analyzed using means to extract more accurate definitions of the frequency and severity of sleep discontinuity, sleep disordered breathing and patterns of sleep architecture. Biological biomarkers and questionnaire responses can also be compared to a database of healthy and chronically diseased patients to provide a more accurate differential diagnosis and to help determine the appropriate disease management recommendations.
Advanced Brain Monitoring, Inc. | Date: 2014-06-23
Sleep mask for reducing sleep inertia. In an embodiment, the sleep mask comprises a foam layer having a shape that covers both of a human subjects eyes so as to attenuate ambient light. Visual stimulation element(s), configured to emit light, are positioned between the foam layer and the subjects eyes. In addition, a plurality of sensors positioned on the forehead of the subject collect electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG) signals. A soft exterior cover houses the foam layer, the visual stimulation element(s), and the sensors. The sleep mask further comprises processor(s) that determine and record each sleep stage of the subject, determine when to wake the subject, and, when it is determined to wake the subject, control the visual stimulation element(s) to wake the subject using emitted light.