Abstract: A monitoring system comprises sensors adapted to be worn by a user, and, a processor linked with the sensor. The processor receives sensor data and processes this data to determine user posture data including data indicative of vertical distance between level of the user's heart and ankle. Based on the posture data together with a value for degree of user chronic venous insufficiency and/or blood density, generate an estimate of user static venous pressure while the user is static, without calf muscle pump activity. The processor also processes the sensor data to determine if there is calf muscle pump activity, and generates an estimate of user active venous pressure according to the static venous pressure estimate, rate of calf muscle activity, and a value for degree of user chronic venous insufficiency. The processor may generate the venous pressure estimate in real time, and may control an NMES device accordingly.

Abstract: A method for assessing a risk associated with a skin abnormality is disclosed. The method involves using a skin abnormality detection model to analyze a current image dataset captured by a skin inspection device to identify a current instance of a feature of interest and determine an associated risk level. The model is trained using a process that generates enriched training data. The process comprises receiving user-generated annotations for a feature of interest across a series of historical image datasets captured over time. These historical datasets are aligned using an image registration process to establish a consistent anatomical location for the feature. A set of training data records is then generated, with each record comprising an annotation, a set of image acquisition parameters used for the corresponding image, and data defining the consistent anatomical location. The skin abnormality detection model is subsequently trained using this set of training data records.

Abstract: A method for analyzing a feature of interest using a skin inspection system is disclosed. The method comprises generating a first output from a first machine learning model, which analyzes a current image dataset from a skin inspection device to determine a detected state of the feature on a user's skin. A second machine learning model generates a second output comprising a predicted state of the feature, based on historical data for that feature. A processor compares the first output (the detected state) with the second output (the predicted state) to determine a deviation. Finally, the determined deviation is classified into one of a plurality of predefined clinical risk categories.

Abstract: A method for operating a skin inspection device is disclosed. The method provides for an adaptive image acquisition process to improve the visibility of detected features. The method comprises capturing a first image of an inspection area and analyzing the first image with a processor to identify a feature of interest. Based on one or more characteristics of the identified feature, the processor determines a set of adjusted image acquisition parameters. A second, feature inspection image is then captured of at least a portion of the inspection area using these adjusted parameters. The adjusted image acquisition parameters are specifically configured to optimize the visibility of the identified feature of interest in the second image, thereby enabling a more detailed and accurate analysis.

Abstract: A skin inspection device for identifying abnormalities is described. The device comprises a transparent panel having an inspection area; an array of thermochromic liquid crystal (TLC) formations provided on the transparent panel which are operable to change colour in response to a change of temperature; one or more image capture devices having a wide angle lens for capturing an image of the TLC formations and an area of skin of a target located in the inspection area; at least some of the TLC formations have a warped shape while other TLC formations have a non-warped shape; wherein the warped shaped TLC formations and the non-warped TLC formations define a pattern such that when viewed through the wide angle lens both the the warped shaped TLC formations and the non-warped TLC formations appear non-warped.

Abstract: A skin inspection device for identifying abnormalities. The device comprises a transparent panel having an inspection area. An array of temperature sensors are provided on the transparent panel to record the temperature of an area of skin of a target. One or more image capture devices are provided for capturing an image of the area of skin of a target located in the inspection area. The captured image and recorded temperature being analysed to identify abnormalities in the area of skin of the target. A processor is operably coupled to the one or more image capture devices and the array of temperature sensors for controlling operations thereof. The processor is operable to generate indicia indicative of the emergence of ulcers and/or other skin abnormalities.

Abstract: A panel for a skin inspection device is described. The panel comprises a substrate; an array of temperature sensors; an interlayer comprising a material for thermally insulating the temperature sensors from the substrate.

Abstract: A skin inspection device for identifying abnormalities; the device comprising: a transparent panel having an inspection area; an array of thermochromic liquid crystal (TLC) formations provided on the transparent panel which are operable to change colour in response to a change of temperature; and one or more image capture devices for capturing a colour image of the TLC formations and an area of skin of a target located in the inspection area; the captured colour image being analysed to identify abnormalities in the area of skin.

Abstract: A skin inspection device for identifying abnormalities is described. The device comprises a transparent panel having an inspection area; an array of thermochromic liquid crystal (TLC) formations provided on the transparent panel which are operable to change colour in response to a change of temperature; one or more image capture devices having a wide angle lens for capturing an image of the TLC formations and an area of skin of a target located in the inspection area; at least some of the TLC formations have a warped shape while other TLC formations have a non-warped shape; wherein the warped shaped TLC formations and the non-warped TLC formations define a pattern such that when viewed through the wide angle lens both the warped shaped TLC formations and the non-warped TLC formations appear non-warped.

Abstract: A skin inspection device for identifying abnormalities. The device comprises a transparent panel having an inspection area. An array of temperature sensors are provided on the transparent panel to record the temperature of an area of skin of a target. One or more image capture devices are provided for capturing an image of the area of skin of a target located in the inspection area. The captured image and recorded temperature being analysed to identify abnormalities in the area of skin of the target. A processor is operably coupled to the one or more image capture devices and the array of temperature sensors for controlling operations thereof. The processor is operable to generate indicia indicative of the emergence of ulcers and/or other skin abnormalities.

Abstract: A skin inspection device for identifying abnormalities; the device comprising: a transparent panel having an inspection area; an array of thermochromic liquid crystal (TLC) formations provided on the transparent panel which are operable to change colour in response to a change of temperature; and one or more image capture devices for capturing a colour image of the TLC formations and an area of skin of a target located in the inspection area; the captured colour image being analysed to identify abnormalities in the area of skin.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

Abstract: A monitoring system comprises sensors adapted to be worn by a user, and, a processor linked with the sensor. The processor receives sensor data and processes this data to determine user posture data including data indicative of vertical distance between level of the user's heart and ankle. Based on the posture data together with a value for degree of user chronic venous insufficiency and/or blood density, generate an estimate of user static venous pressure while the user is static, without calf muscle pump activity. The processor also processes the sensor data to determine if there is calf muscle pump activity, and generates an estimate of user active venous pressure according to the static venous pressure estimate, rate of calf muscle activity, and a value for degree of user chronic venous insufficiency. The processor may generate the venous pressure estimate in real time, and may control an NMES device accordingly.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

Abstract: A skin inspection device for identifying abnormalities is described. The device comprises a transparent panel having an inspection area; an array of thermochromic liquid crystal (TLC) formations provided on the transparent panel which are operable to change colour in response to a change of temperature; one or more image capture devices having a wide angle lens for capturing an image of the TLC formations and an area of skin of a target located in the inspection area; at least some of the TLC formations have a warped shape while other TLC formations have a non-warped shape; wherein the warped shaped TLC formations and the non-warped TLC formations define a pattern such that when viewed through the wide angle lens both the warped shaped TLC formations and the non-warped TLC formations appear non-warped.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.

Abstract: A gait management apparatus applies stimulation to a user suffering from a neurological disease (such as Parkinson's Disease) gait dysfunction. Motion sensors are arranged to be worn by a patient, and electrical stimulation electrodes are on the legs for stimulation. A controller receives motion sensing signals, and processes these signals to generate stimulation signals for operation of the electrodes to stimulate limb movement upon detection of a gait abnormality. There may be a user actuator for user actuation of electrical stimulation, and the inputs may be a series of taps. The controller may provide signals to prevent occurrence of freezing of gait when it senses that a patient is walking or has an intention to walk. Also, it may apply stimulation at an intensity level which is insufficient for functional muscle stimulation but sufficiently high to trigger activation of efferent nerves.