Data regarding typing by a user may be collected and analyzed in order to assess one or more health conditions or functional states of the user. Each health condition that is assessed may be a disease or a symptom of a disease. For instance, based on the typing data, a computer may assess the presence, severity or probability of, or a change in, one or more symptoms such as: mild cognitive impairment; dementia; impairment of fine motor control; impairment of sensory-motor feedback; or behavioral impairment. A computer may calculate keystroke tensors that encode information about the typing. A computer may select or derive features from the keystroke tensors. These features may be fed into one or more machine learning algorithms, which in turn may output an assessment of a health condition or functional state of the user.

An external medical device includes monitoring circuitry configured to monitor a cardiac condition of a patient using the external medical device; and a controller configured to: receive at least one of patient input and non-patient user input of a patient's ability; determine a patient interaction mode of the external medical device based on the at least one of the patient input and the non-patient user input; and adapt the patient interaction mode of the external medical device over time based on the at least one of the patient input and the non-patient user input.

A sensor device for determining vital parameters relevant to inflammation includes a base body (1a) with a substantially rectangular base surface; an ring-shaped holder (2), which is fixed to the base body (1a), for placing on a finger of a patient; and at least one sensor arm (4), which is detachably fixed to the base body (1a). A sensor surface, which is functionally associated with a temperature sensor (6), is arranged at the end on the sensor arm (4) in such a way and the sensor arm (4) has such a length that the sensor surface in the position of use comes to rest on the base joint of the patient's finger. Means for storing and optionally transmitting the data measured by the temperature sensor to a data evaluation unit are provided in the base body, and the at least one sensor arm (4) fixed to the base body (1a) is detachably fixed to the base body.

Provided is a muscular strength index estimation device that includes a data acquisition unit that acquires feature amount data including a feature amount, the feature amount being extracted from a feature of gait of a user and being used for estimation of a muscular strength index of the user, a storage unit that stores an estimation model that outputs the muscular strength index in accordance with an input of the feature amount data, an estimation unit that inputs the acquired feature amount data to the estimation model to estimate the muscular strength index of the user, and an output unit that outputs information regarding the estimated muscular strength index.

The invention relates to a system for measuring a palmar gripping force, comprising a device (1) for measuring said palmar gripping force, which device comprises: a handle configured to receive a palmar gripping force; a force sensor (3); and an electronic module (6) integrated into the device and comprising at least one microcontroller (61) connected to the sensor (3) and able to process data originating from said sensor (3), characterized in that the force sensor comprises a stress gauge with a minimum precision of 50 g; a controlling system is also provided and comprises means able to do the following: calibrate the sensor using a linear calibration curve; and transmit the sensor measurements to a display unit (8) and/or a storage unit and/or a processing unit, preferably via wired or wireless means.

A portable work capacities testing apparatus comprising a portable computer, a hub releaseably interconnected with the portable computer, a dynamic strength and lifting device releaseably interconnected with the hub, a hand grip strength device releaseably interconnected with the hub, a finger pinch strength device releaseably interconnected with the hub, a forearm/wrist strength device releaseably interconnected with the hub, a handling/proprioception device releaseably interconnected with the hub, a finger flexion device releaseably interconnected with the hub, a whole body coordination device releaseably interconnected with the hub, and a strength push/pull/lift device releaseably interconnected with the hub.

A method for calibrating and executing a rehabilitation exercise for a stroke-affected limb of a stroke patient is disclosed, the method comprising the steps of providing a haptic device for an able limb of the stroke patient to manipulate to perform a calibration action to result in a first position of the haptic device, and providing the haptic device for the stroke-affected limb to manipulate to perform the calibration action to result in a second position of the haptic device. The method further comprises the steps of moving the haptic device coupled with the stroke-affected limb from the second position towards the first position until a predetermined counterforce is detected, indicating an extreme position for the stroke-affected limb using the haptic device, and calibrating the haptic device with the extreme position such that during the rehabilitation exercise, the haptic device is prevented from moving beyond the extreme position.

An external medical device includes monitoring circuitry configured to monitor a cardiac condition of a patient using the external medical device; and a controller configured to: receive at least one of patient input and non-patient user input of a patient's ability; determine a patient interaction mode of the external medical device based on the at least one of the patient input and the non-patient user input; and adapt the patient interaction mode of the external medical device over time based on the at least one of the patient input and the non-patient user input.

One aspect of the invention provides a wearable device including: at least one compliant region adapted and configured to be placed over a joint of a subject and at least two flexible but less compliant regions coupled to opposite ends of the compliant region. Another aspect of the invention provides a wearable robotic device including a wearable device as described herein and at least one actuator adapted and configured to move the flexible but less compliant regions relative to each other.

Disclosed are a system and method of detection of an interaction-error. The interaction-error is derived from an incorrect decision and is directed to interacting with a machine. During human-machine interaction, command related data values are obtained. Command related data values characterize any one of an interacting-command and an interacting-action. The command related data values are compared with command related reference data values, and an interaction-error is identified if a difference between the command related data values and the command related reference data values complies with a predefined criterion.