An active orthotic device, e.g. a hand orthosis, is attached to one or more limbs of a human subject and comprises a respective set of actuators (21) for moving a respective limb (1A) among the one or more limbs. A method for controlling the orthotic device comprises obtaining one or more bioelectric signals, [S(t)], from one or more bioelectric sensors (10) attached to or implanted in the human subject; processing the one or more bioelectric signals, [5(t)], for prediction of an intended application force, FA(t), of the respective limb (1A) onto an object; obtaining a force signal, PA(t), from a force sensing device (22) associated with the respective set of actuators (21) and/or the respective limb (1A); and generating, as a function of a momentary difference, e(t), between the intended application force, FA(t), and the force signal, PA(t), a respective set of control signals, it(t), for the respective set of actuators (21).

The disclosed biopotential measurement device may include a biopotential measurement circuit and a right leg drive (“RLD”) circuit coupled to the biopotential measurement circuit. The device may also include electrodes coupled to the biopotential measurement circuit and a chassis housing the biopotential measurement circuit and the RLD circuit. The chassis may include a conductive portion, coupled to the RLD circuit, that may serve as an RLD electrode for the RLD circuit. Various other methods, systems, and computer-readable media are also disclosed.

The present invention relates to improvements in or relating to tremor stabilisation apparatus and methods, in particular to gyroscopic devices for use in controlling tremors of parts of the body and for reducing effects of tremors on the human body. The apparatus includes a wearable element and at least one gyroscopic device mounted or mountable to the wearable element, the gyroscopic device including a gyroscope and a gyroscope housing. The at least one gyroscopic device may be mounted within the housing such that the gyroscope may precess with respect to the housing. The mount may include a hinge to which the gyroscope is mounted and a hinge plate or hinge mount to which the hinge is mounted for rotation with respect to the gyroscope housing, such as a turntable mounted to the gyroscope housing. The gyroscopic devices may include a control arrangement to control the precession of the gyroscope.

A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

A non-invasive blood sensor includes a body configured to mate with a tissue surface; a blue light source disposed on the sensor body; and a photodetector disposed on the sensor body at a suitable position for capturing light emanating from the tissue surface after emission from the blue light source, e.g., by one of: transmission, reflection, and transflection. The sensor bodies may further include a green, a red and/or an infrared light source. The light source(s) and photodetector(s) may be supported on a support structure configured to register with a corresponding portion of human anatomy in a predetermined fashion, and support the light sources and photodetectors in a defined spatial relationship. The sensor or an integrated meter may include a controller programmed to receive signals from the photodetector and calculate blood glucose value as function of the signals received from the photodetector after emission by the light source(s).

A glove comprising a set of electrocardiogram leads, the set of electrocardiogram leads including: (a) a plurality of precordial electrocardiogram leads; (b) a pair of aVL and aVR electrocardiogram leads; and (c) an aVF electrocardiogram lead; wherein the glove records a 12-lead electrocardiogram by pressing the glove against skin of a user.

Disclosed is a wrap which is removably attached with a body part of a user to provide compression, and protection. The wrap includes first sensing unit, second sensing unit, movement unit, adjuster unit, and a power source. The first sensing unit senses the physiological state of the user's body. The second sensing unit measures the dimension of the body part of the user. The body part is selected from at least one of: wrist, ankle, lower back, knee and/or combination thereof. The movement unit receives sensed information from first sensing unit, and second sensing unit to support an inflate mechanism and deflate mechanism to provide desired compression to the body part of the user. The adjuster unit configured with the movement unit to engage or disengage the wrap from the body part of the user. The power source which further includes a rechargeable battery powers the first sensing unit, second sensing unit, movement unit, and the adjuster unit.

A big data artificial intelligence computer system is used for medical care connecting to sensor-equipped smartphones of users of footwear. The footwear has smartphone-connected soles with sensors and configurable structures. The smartphone is also connected to sensors located on the users' body, including proximate to its center of gravity and/or on the head. The web and/or cloud-based computer system is configured to use the big data techniques of machine learning in a database compiled from millions of smartphones to perform operations on billions of data sets from the smartphones of the footwear users. The correlations found from the big data operations provide solutions to medical problems of the footwear users involving their body structure and/or function. The solutions are implemented by configuring the users' footwear soles, including active configuration, including during running and/or walking to optimize corrections to the structure and/or function of their bodies.

A medical diagnostic device that includes: electrocardiogram leads configured to make contact with a body of a user; a microphone configured to detect, record, transmit, or a combination thereof internal sounds from the body of the user; a blood pressure cuff; and a pulse oximeter, wherein the chair is configured to provide a medical physical examination of the user based upon medical data collected with the electrocardiogram leads, the microphone, the blood pressure cuff, the pulse oximeter, or a combination thereof.

Eyewear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as EOG and ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.