Cristian Coroian
University of California, Los Angeles
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Featured researches published by Cristian Coroian.
international conference of the ieee engineering in medicine and biology society | 2010
Robert LeMoyne; Timothy Mastroianni; Michael Cozza; Cristian Coroian; Warren S. Grundfest
Parkinsons disease represents a chronic movement disorder, which is generally proportionally to age. The status of Parkinsons disease is traditionally classified through ordinal scale strategies, such as the Unified Parkinsons Disease Rating Scale. However, the application of the ordinal scale strategy inherently requires highly specialized and limited medical resources for interpretation. An alternative strategy involves the implementation of an iPhone application that enables the device to serve as a functional wireless accelerometer system. The Parkinsons disease tremor attributes may be recorded in either an effectively autonomous public or private setting, for which the resultant accelerometer signal of the tremor can be conveyed wireless and through email to a remote location for data post-processing. The initial testing and evaluation of the iPhone wireless accelerometer application for quantifying Parkinsons disease tremor successfully demonstrates the capacity to acquire tremor characteristics in an effectively autonomous environment, while potentially alleviating strain on limited and highly specialized medical resources.
international conference of the ieee engineering in medicine and biology society | 2010
Robert LeMoyne; Timothy Mastroianni; Michael Cozza; Cristian Coroian; Warren S. Grundfest
The capacity to quantify and evaluate gait beyond the general confines of a clinical environment under effectively autonomous conditions may alleviate rampant strain on limited and highly specialized medical resources. An iPhone consists of a three dimensional accelerometer subsystem with highly robust and scalable software applications. With the synthesis of the integral iPhone features, an iPhone application, which constitutes a wireless accelerometer system for gait quantification and analysis, has been tested and evaluated in an autonomous environment. The acquired gait cycle data was transmitted wireless and through email for subsequent post-processing in a location remote to the location where the experiment was conducted. The iPhone application functioning as a wireless accelerometer for the acquisition of gait characteristics has demonstrated sufficient accuracy and consistency.
Journal of Mechanics in Medicine and Biology | 2008
Robert LeMoyne; Cristian Coroian; Timothy Mastroianni; Warren S. Grundfest
Accelerometers have become increasingly integrated in the biomedical field, as they are highly portable and capable of objectively and reliably quantifying motion. Two specific applications for accelerometers are the quantification of gait and movement disorders, such as Parkinsons disease and essential tremor. The evolution of accelerometers to their present status is discussed. Accelerometry is contrasted with more traditional means for accessing gait and movement disorders. Advances in the research validation of accelerometers for the characterization of gait and movement disorders, such as essential tremor and Parkinsons disease, are addressed. The review concludes with the advancement of three-dimensional (3D) wireless accelerometers and pertinent future implications.
international conference on complex medical engineering | 2009
Robert LeMoyne; Cristian Coroian; Timothy Mastroianni
Parkinsons disease is classified as a chronic movement disorder. The incidence of Parkinsons disease is proportional to age. The status of Parkinsons disease is characterized through the Unified Parkinsons Disease Rating Scale. The Unified Parkinsons Disease Rating Scale is an ordinal scale, for which the scale is qualitatively evaluated. The inherent issue of the ordinal scale is the lack of a temporal parameter to evaluate the attributes of the movement disorder. The evaluation of the Parkinsons Disease Rating Scale requires clinical specialization, occurring in a clinical environment. Accelerometers, through the advent of miniaturization, have reached a capacity to advance the evaluation of Parkinsons disease. Tremor characteristics and temporal attributes of Parkinsons disease can be readily quantified. Accelerometer systems have been tested and evaluated for ascertaining general status, drug therapy efficacy, and amelioration of Parkinsons disease based on deep brain stimulation parameter settings. Further advance of the accelerometer characterization of Parkinsons disease attributes involves the incorporation of a fully wearable system. Such a system is possible with the integration of wireless 3D MEMS accelerometers. The device proposed incorporates a wireless and potentially wearable 3D MEMS accelerometer mounted on the dorsum of the hand. The wireless 3D MEMS accelerometer system can potentially track the Parkinsons disease status through out real time for a subject at the home-based setting of the subject. An implication of the device is a subject database can be generated quantifying the progression of Parkinsons disease. Drug therapy dosage may be optimized with quantified feedback from the wireless 3D MEMS accelerometer system. Deep brain stimulation parameters may be further refined, and the conceptual foundation for real time deep brain stimulation parameter optimization is established. Enclosed is the initial test and evaluation of the wireless 3D MEMS accelerometer system through the quantification of simulated tremor.
international conference on complex medical engineering | 2009
Robert LeMoyne; Cristian Coroian; Timothy Mastroianni
Following neurological trauma the evaluation of locomotion characteristics and quality are integral aspects for the proper allocation of therapy dosage and evolution of therapy strategy. With a suitable system for quantifying gait characteristics, strain on limited medical resources may be alleviated. Present standard devices for gait quantification incorporate optical sensors, EMG, electrogoniometers, ground reaction force sensors, footswitch stride analyzers, and metabolic energy expenditure devices. The present standard devices for gait quantification have inherent limitations. These devices are generally confined to a clinical environment, such as a gait evaluation laboratory. There are spatial constraints, line of sight requirements, and specialization issues for the operation of the present gait quantification systems. An alternative solution for quantitatively evaluating gait involves the incorporation of wireless 3D MEMS accelerometers. Wireless 3D MEMS accelerometers are attributed as light weight with minimal intrusion on the gait cycle. An expansion of autonomy is possible with wireless 3D MEMS accelerometers for gait quantification, as the system can be applied to real world conditions, such as a home based setting, beyond the confines of a laboratory environment. Specialization issues are reduced by positioning the wireless 3D MEMS accelerometers to a standard and readily identifiable anatomical anchor. Initial test and evaluation of the wireless 3D MEMS accelerometer system is conducted in a home based setting.
international conference of the ieee engineering in medicine and biology society | 2008
Robert LeMoyne; Cristian Coroian; Timothy Mastroianni; Winston Wu; Warren S. Grundfest; William J. Kaiser
Virtual proprioception is a novel device for providing near autonomous biofeedback of hemiparetic gait disparity in real time. With virtual proprioception a user may modify gait dynamics to develop a more suitable gait in tandem with real time feedback. Accelerometers are fundamental to the operation of the device, and a thorough consideration of the accelerometry technology space for locomotion quantification is included. The role of traumatic brain injury and respective decrements to gait quality and proprioceptive feedback are addressed. Virtual proprioception conceptual test and evaluation yielded positive results. The active ‘on’ status of the virtual proprioception biofeedback for alternative gait strategy was bounded by a 90% confidence level with a 10% margin of error.
Journal of Mechanics in Medicine and Biology | 2009
Robert LeMoyne; Cristian Coroian; Timothy Mastroianni; Warren S. Grundfest
Assessment of locomotion quality subsequent to neurological trauma, such as stroke or traumatic brain injury is imperative for the correct allocation of therapy dosage and strategy. In light of the limited amount of medical professionals in contrast with the rising number of people with neurological disorders; a new paradigm for addressing therapeutic strategies for neurological trauma is advocated. An important aspect for therapy of neuro-motor disorders is the characterization of gait. There are devices presently used for evaluating gait, such as EMG, optical sensors, electrogoniometers, metabolic energy expenditure devices, foot stride analyzers, and ground reaction force sensors. These devices have inherent issues, such as spatial constraints, line of sight requirements, and specialization requirements. A solution for improved autonomy of gait assessment is demonstrated by the use of fully wireless 3D MEMS accelerometers, which are light weight and minimally intrusive. To minimize specialization issue...
Journal of Mechanics in Medicine and Biology | 2011
Robert LeMoyne; Timothy Mastroianni; Cristian Coroian; Warren S. Grundfest
The deep tendon reflex is a fundamental aspect of a neurological examination. The two major parameters of the tendon reflex are response and latency, which are presently evaluated qualitatively during a neurological examination. The reflex loop is capable of providing insight into the status and therapy response of both upper and lower motor neuron syndromes. Attempts have been made to ascertain reflex response and latency; however, these systems are relatively complex, resource intensive, with issues of consistent and reliable accuracy. The solution presented is a wireless quantified reflex device using tandem three-dimensional (3D) wireless accelerometers to obtain response based on acceleration waveform amplitude and latency derived from temporal acceleration waveform disparity. Three specific aims have been established for the proposed wireless quantified reflex device: (1) Demonstrate the wireless quantified reflex device is reliably capable of ascertaining quantified reflex response and latency using a quantified input. (2) Evaluate the precision of the device using an artificial reflex system. (3) Conduct a longitudinal study respective of subjects with healthy patellar tendon reflexes, using the wireless quantified reflex evaluation device to obtain quantified reflex response and latency. Aim 1 has led to a steady evolution of the wireless quantified reflex device from a singular 2D wireless accelerometer capable of measuring reflex response to a tandem 3D wireless accelerometer capable of reliably measuring reflex response and latency. The hypothesis for aim 1 is that a reflex quantification device can be established for reliably measuring reflex response and latency for the patellar tendon reflex, comprised of an integrated system of wireless 3D MEMS accelerometers. Aim 2 further emphasized the reliability of the wireless quantified reflex device by evaluating an artificial reflex system. The hypothesis for aim 2 is that the wireless quantified reflex device can obtain reliable reflex parameters (response and latency) from an artificial reflex device. Aim 3 synthesizes the findings relevant to aim 1 and 2, while applying the wireless accelerometer reflex quantification device to a longitudinal study of healthy patellar tendon reflexes. The hypothesis for aim 3 is that during a longitudinal evaluation of the deep tendon reflex the parameters for reflex response and latency can be measured with a considerable degree of accuracy, reliability, and reproducibility. Enclosed is a detailed description of a wireless quantified reflex device with research findings and potential utility of the system, inclusive of a comprehensive description of tendon reflexes, prior reflex quantification systems, and correlated applications.
Journal of Mechanics in Medicine and Biology | 2011
Robert LeMoyne; Timothy Mastroianni; Halo Kale; Jorge Luna; Joshua Stewart; Stephen Elliot; Filip Bryan; Cristian Coroian; Warren S. Grundfest
An intrinsic aspect of the standard neurological examination is the deep tendon reflex. A clinician is tasked with qualitatively evaluating reflex parameters, such as reflex response and latency. The tendon reflex is capable of providing preliminary insight with respect to dysfunction of the central and peripheral nervous systems. The qualitative assessment of the tendon reflex can be classified through the implementation of an ordinal scale, such as the NINDS scale which spans five ordinal components from 0 to 4. The reliability and accuracy of the ordinal-scale method for classifying reflex characteristics have been demonstrated to be an issue of controversy. Ordinal scales lack the capacity to properly classify the temporal features of the tendon reflex. Electrodiagnostic testing traditionally provides higher fidelity evaluation of peripheral neuropathy; however, a study by Cocito et al., has discovered 28% of the prescriptions were inappropriate. The fourth-generation wireless reflex quantification system provides a less resource intensive, highly accurate, reliable, and reproducible alternative. The patellar tendon reflex is evoked through a predetermined potential energy derived swing arm attached to a standard reflex hammer. Tandem wireless 3D MEMS accelerometers quantify reflex response and latency. The reflex response maximum and minimum are acquired from the wireless 3D MEMS accelerometer positioned above the ankle joint. The latencies derived from the maximum and minimum of the reflex responses are derived from the temporal disparity relative to the acceleration waveforms of the reflex response and swing arm evoking the tendon reflex. The fourth-generation wireless reflex quantification system has been evolved with a more user-convenient wirelessly activated datalogger mode, which is subsequently downloaded to a local PC wirelessly. The wireless datalogger mode enables sampling at a greater rate relative to the real-time streaming data mode. An automated MATLAB software program is implemented for acquiring reflex parameters. Enclosed is the longitudinal study of the fourth-generation wireless reflex quantification system that demonstrates considerable precision for accuracy, reliability, and reproducibility. As a supplement to the research, a brief reflex modulation study is amended to the longitudinal study.
international conference of the ieee engineering in medicine and biology society | 2009
Robert LeMoyne; Cristian Coroian; Timothy Mastroianni
The evaluation of the deep tendon reflex is a standard aspect of a neurological evaluation, which is frequently evoked through the patellar tendon reflex. Important features of the reflex are response and latency, providing insight to status for peripheral neuropathy and upper motor neuron syndrome. A wireless accelerometer reflex quantification system has been developed, tested, and evaluated. The reflex input is derived from a potential energy setting. Wireless accelerometers characterize the reflex hammer strike and reflex response acceleration waveforms, enabling the quantification of reflex response and latency. Spectral analysis of the reflex response acceleration waveform elucidates the frequency domain, opening the potential for new reflex classification metrics. The wireless accelerometer reflex quantification system yields accurate and consistent quantification of reflex response and latency.