Abstract: Provided herein are devices and methods for delivering medical implants into a patient, such as intravitreally. In one exemplary implementation, an implant delivery device includes an elongated body, cannula, plunger, dispense button and prime button. The cannula is sized and configured to slidably receive a rod-shaped implant. The plunger is slidably received within the cannula. The delivery device is configured to be operated by a user moving the prime button from a locked position to an unlocked position, and subsequently moving a dispense button from an extended position to a depressed position, thereby causing the plunger to move from a retracted position to a distally extended position to eject the implant from a distal portion of the cannula. The device may further include an interlock mechanism that prevents the cap from moving from an attached position to a detached position when the prime button is in the locked position.

Abstract: A method for health monitoring is provided including at least one non-invasive wearable device capable of collecting and storing data, and external monitoring devices that displays and analyses the data for accurate monitoring and anomaly detection. The wearable devices are configured to collect low-latency PPG-derived bio signals and can utilize multiple devices for accuracy and continuity. The system may further include a dashboard that analyzes the information as well as displaying basic information such as number of beds (in-use, available), staff-to-patient ratio, etc. The data can be collected and accessed remotely and may be utilized before, during, and/or after a patient is dispatched from a clinical setting.

Abstract: A method of detecting coughs using photoplethysmography sensor data is presented. In some embodiments, accelerometry sensor data may also be used in conjunction. A system is presented for the purpose of automatic cough detection, which may also incorporate auxiliary data relevant to the occurrence of coughs. Auxiliary data, may be used to improve cough detection and/or be for contextualization and categorization of detected coughs.

Abstract: Systems and methods for monitoring the spread of pandemic pneumonia using IOT technology is provided. Sensor data from wearable devices is utilized to determine: a probability of developing complications from a pandemic for an unexposed user using existing indicators of the wearer’s health; the impact of lockdown measures on health; a probability that a user exposed to the pathogen experiences complications; and a probability of various disease stages for the user including normal, asymptomatic, pre-symptomatic, symptomatic, complication development and recovery is provided.

Abstract: Disclosed is a compression and/or contention garment for lymphoedema treatment, the garment including a main body made of a compression textile. The garment has at least a first targeted area, in which the garment includes at least one layer of reinforcement textile, and at least a second targeted area, in which the garment includes at least one layer of contention textile.

Abstract: The current invention pertains to an apparatus and method for the determination of excess post-exercise oxygen consumption (EPOC) and the estimation of blood lactate levels. While these exercise parameters are traditionally determined using indirect calorimetry and blood sampling, this invention provides a method for the determination of these parameters using heart rate data. A wearable photoplethysmography device for measuring heart rate is included as an exemplary embodiment, however, the method of the current inventions can also be used with heart rate data from any heart rate monitor. In an embodiment of the present invention a supply demand differential equation is used to continuously monitor EPOC in real-time. Furthermore, blood lactate levels can also be estimated as a function of EPOC.

Abstract: A data acquisition device includes measuring instruments to generate physiological and/or psychological data streams. Microprocessors within the acquisition device process the generated data streams into metrics, which feed into stress function algorithms. Algorithm processing may occur either on the device, or metrics may be communicated via wireless communication for external processing on mobile devices and/or cloud-based platforms. The calculated stress functions inform cloud-based computational systems biology-derived models describing the dynamics of hormones and neurotransmitters released in the body in response to stressful stimuli. Stress hormone levels are quantified using these models, and are used in combination to serve as biologically inspired metrics of acute and chronic stress an individual is experiencing.

Abstract: A physiological monitoring system and method for the determination of at least one physiological parameter using a first low energy physiological sensor to produce a first physiological sensor signal and a high energy physiological sensor to produce a second physiological sensor signal. A motion sensor produces a motion reference signal that a mode selector switch uses to select either the first low energy physiological sensor or the second high energy physiological sensor. Alternatively, a motion related embedded component in the second physiological sensor signal is used by the mode selector switch to select in the first low energy sensor or the second high energy sensor.

Abstract: The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited.

Abstract: The invention comprises methods and systems capable of processing simultaneously measured cardiac and motion signals, selecting from said signals the optimal cardiac and motion signal combination for cross spectral density calculations and, hereafter, itemizing the shared information in terms of the individual constituent frequencies and the effect exerted upon said frequencies by common underlying physiological states. The information is passed through a classifier, where said information is used to quantify the underlying physiological states, exemplified by but not limited to, sleep stage, quality and/or disorders that affect sleep stability. Inferences made by the methods described, for example, can be employed to aid home based sleep analysis and automated screening of patients with sleep disorders.

Abstract: Systems and methods are provided in which data acquisition device detects and captures ambulatory radial arterial blood pressure in a non-invasive and continuous manner through the combined use of tonometry, accelerometry and photoplethysmography, together with the detecting and translating of Mayer waves. Transformed blood pressure data, together with motion and contextual data can be used as input for machine learning algorithms and biomathematical models which can predict the general state of health of an individual. Transformed blood pressure data, together with motion and contextual data, may be communicated via wireless communications to mobile devices and/or cloud based platforms.

Abstract: Computer implemented systems and methods are presented comprising a platform coordinating data flows between data acquisition, data transformation and data delivery nodes, whilst protecting the identities of all entities whose data is being acquired, transformed, stored, and/or delivered. Metadata usage from different data transformation flows enables the platform to facilitate value distribution back to nodes and data subjects that contributed to output, enabling individual companies and/or data subjects subscribed to the platform to assess how and by whom their data is utilized in order to produce specific outputs, with the personal data of all entities being de-identified.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: The present invention discloses a reflectance type PPG-based physiological sensing system with a close proximity triangulation approach toward robustly measuring several physiological parameters including, but is not limited to, heart rate, breathing rate, blood oxygen saturation and pulse wave velocity.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: The invention pertains to the establishment, implementation and management of a personalized information system pertinent to a user's general health, wellness and/or sport performance. A set of portable device with calorimetric, metabolic sensing, computing and communication capabilities are used for real-time measurement and display as well as long-term logging of highly accurate information about a user's metabolic state. In an aspect, the invention comprises a portable and hand-held indirect calorimetric device with the capacity to obtain the metabolic parameters of a subject by analyzing the composition of both inspired air and/or expired air of the user.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited.

Abstract: Computer implemented systems and methods are presented comprising a platform coordinating data flows between data acquisition, data transformation and data delivery nodes, whilst protecting the identities of all entities whose data is being acquired, transformed, stored, and/or delivered. Metadata usage from different data transformation flows enables the platform to facilitate value distribution back to nodes and data subjects that contributed to output, enabling individual companies and/or data subjects subscribed to the platform to assess how and by whom their data is utilized in order to produce specific outputs, with the personal data of all entities being de-identified.