Abstract: Disclosed embodiments of the invention include a method, system, and apparatus to monitor cardiovascular signals such as arterial blood pressure (ABP), pulse oximetry (POX), and intracranial pressure (ICP). The system can be used to calculate and monitor useful clinical information such as heart rate, respiratory rate, pulse pressure variation (PPV), harmonic phases, pulse morphology, and for artifact removal. The method uses a statistical state-space model of cardiovascular signals and a generalized Kalman filter (EKF) to simultaneously estimate and track the cardiovascular parameters of interest such as the cardiac fundamental frequency and higher harmonics, respiratory fundamental frequency and higher harmonics, cardiac component harmonic amplitudes and phases, respiratory component harmonic amplitudes and phases, and PPV.

Abstract: Disclosed embodiments include a method and related apparatus for determining a physiological parameter from the arterial blood pressure signal, the photoplethysmographic signal, the electrocardiogram, or any other a physiologic signal whose pulse amplitude variation is affected by respiration and it is indicative of fluid status in order to quantify the degree of amplitude modulation due to respiration (pulse variation) and help assess fluid responsiveness.

Abstract: Disclosed embodiments include a method for automatic detection of sleep apnea implemented in a medical apparatus, the method comprising (a) extracting a plurality of signal features by analyzing an oxygen saturation signal, (b) performing dimensionality reduction on the plurality of signal features to generate a plurality of signal features in a transformed space; and (c) displaying a sleep apnea diagnosis result based on a statistical classifier that operates on the plurality of signal features in a transformed space.

Abstract: Disclosed embodiments include a movement monitoring system and apparatus for objective assessment of movement disorders of a subject, comprising (a) one or more movement monitors, and (b) a computer-implemented analysis system comprising one or more protocols and associated data analysis methods to objectively quantify movement disorders based on movement data acquired by the movement monitors. According to one embodiment, the movement monitors are robust wireless synchronized movement monitors and the protocols include one or more tests for assessment of neural control of balance.

Abstract: Disclosed embodiments include a movement monitoring apparatus comprising a wireless synchronization scheme. Depending on the particular embodiment such wireless synchronization scheme is a master synchronization scheme or a mesh synchronization scheme. Additionally, in a particular embodiment, the movement monitor further comprises a robust wireless data transfer data controller. The disclosure includes a description of the complete system, namely, the wireless synchronized movement monitors with robust data transfer capabilities, the docking station, the access point, and the computer-implemented analysis system.

Abstract: Disclosed embodiments include a system for objective assessment of motor signs at the extremities that comprises (a) a device for objective motor sign measurement, (b) a test protocol defining a prescribed repetitive activity, and (c) a signal processing and analysis system to generate one or more impairment metrics. According to a particular embodiment, the device for objective motor sign measurement is characterized by including means for producing a continuous measure of position of a limb or extremity during said prescribed repetitive activity during the entire movement.

Abstract: Disclosed embodiments include a method for measuring non-invasive blood pressure from an oscillometric signal and a cuff pressure signal implemented in a medical apparatus comprising: (a) calculating a pulse pressure signal by subtracting an upper and a lower envelope of the oscillometric signal; and (b) calculating without the use of beat detection a mean arterial pressure, a systolic blood pressure, and a diastolic blood pressure from said oscillometric signal, said cuff pressure signal, and a plurality of thresholds a device with at least one processor.

Abstract: A apparatus and method for non-invasively measuring blood pressure. Cuff pressure and oscillometric signals are generated. The signals are conditioned by a plurality of linear filters to remove artifacts and local trends. Rank-order filters are applied to the conditioned oscillometric signal to detect upper and lower envelops. The systolic blood pressure and diastolic blood pressure are calculated using a plurality of multidimensional threshold vectors.

Abstract: Disclosed embodiments include a system for managing clinical data comprising: (a) a server configured to receive data from one or more external devices, and (b) a clinical data management application comprising one module for storing raw movement data received directly from at least one external device. The system is especially adapted for research in movement disorders and contains modules for investigators, collaborators, clinical subjects, and objective devices to upload movement disorders data, analyze data, obtain results of automatic analysis, publish results, and collaborate with other investigators.

Abstract: Disclosed embodiments include a textile with insect repellent properties comprising (a) a natural or synthetic fabric, (b) a microencapsulated active ingredient having insect repellent properties, and (c) a resin solution to attach said microencapsulated active ingredients to the fabric. According to a particular embodiment, and without limitation, the insect repellent textile uses a resin solution with a concentration designed to control the degree of wash fastness and gradual release of the microencapsulated active ingredient embedded in the textile in order for it to be gradually released by skin pressure and friction. A plurality of microencapsulated active ingredients could be used including microencapsulated permethrin or toluamide.

Abstract: Disclosed embodiments include a complete system and platform which allows for continuous monitoring of movement disorders during normal daily activities in the clinic, home, and other normal daily environments. The system comprises: 1) a wearable apparatus for continuous monitoring of movement disorders, 2) a docking station, 3) a web server, and 4) methods for statistical analysis that generate movement impairment measures.

Abstract: Disclosed embodiments include a telemedicine communication system designed to make possible “virtual” patient visits by approved visitors such as the spouse, family, and friends of the hospitalized patient having the appropriate digital certificate and visitation/communication permissions. According to one embodiment, the system enables relatives to visit hospitalized patients using audiovisual communication modalities selected according to the severity and health status of the patient. Additionally, the system provides functionality to enable approved relatives to follow the health status of the patient according to their permissions.

Abstract: Disclosed embodiments include a complete integrated system designed to support continuous monitoring and objective analysis of movement disorders. According to one embodiment the integrated system allows for continuous monitoring of movement disorders during normal daily activities in home and other normal daily environments, as well as in the clinic. The integrated system comprises: 1) wearable movement monitoring devices including a plurality of inertial sensors, 2) a docking station with wireless capabilities, 3) a secure web-enabled data server, and 4) statistical signal processing methods, all of which are integrated to enable monitoring and analysis of movement disorders.

Abstract: We disclose a system, an apparatus, and a method for high frequency temperature monitoring and analysis. According to a disclosed embodiment the system comprises: (a) a wireless temperature acquisition and logging device especially designed for multi-day, high-frequency, and high-resolution temperature sampling; and (b) an analysis system implemented in a digital computer with one or more processors in order to analyze and characterize said temperature using a plurality of methods including complexity analysis techniques such as Lempel-Ziv complexity, Approximate Entropy, Sample Entropy, Multiscale Entropy, and Detrended Fluctuation Analysis; and other statistical time-series analysis techniques. According to one embodiment the temperature monitoring system is designed to capture the dynamic aspects of temperature in order to enable researchers and clinicians to study temperature regulation, thermal physiology, and clinical thermometry.

Abstract: Disclosed embodiments include an apparatus for generating a plurality of movement impairment indices from one or more kinematic signals to characterize movement disorders. Additionally we disclose methods for generating a plurality of movement impairment indices from one or more kinematic signals obtained from one or more kinematic sensors, said methods implemented in a digital computer with one or more processors in order to characterize movement disorders based on spectral analysis, regularity metrics, and time-frequency analsysis.