Systems for performing human motor assessments remotely include a wearable orthosis device having a sensor, an imaging device, and a computer. The computer includes instructions that cause the computer to perform a method comprising receiving images from the imaging device; making a measurement of a movement from the images, the movement performed by a patient; and calculating a motor assessment metric using the measurement of the movement and data from the sensor.

An electronic device is described. The electronic device includes a housing, a set of one or more SMI sensors attached to the housing, and a processor. The set of one or more SMI sensors includes a set of one or more electromagnetic radiation emitters having a set of one or more resonant cavities and configured to emit a set of one or more beams of electromagnetic radiation. The set of one or more SMI sensors also includes a set of one or more detectors configured to generate indications of self-mixing within the set of one or more resonant cavities. The processor is configured to characterize, using the indications of self-mixing, an optical field speckle of a target. The processor is also configured to characterize, using the characterization of the optical field speckle, a surface quality of the target.

This relates to a device that detects a user's motion and gesture input through the movement of one or more of the user's hand, arm, wrist, and fingers, for example, to provide commands to the device or to other devices. The device can include a plurality of myoelectric sensors configured to detect one or more electrical signals from a body part of a user indicative of one or more movements. A plurality of signals indicative of the detected one or more electrical signals may be generated. The device may also include a wireless communication transmitter configured to communicate with a peripheral device and a processor. The processor may be configured to receive the plurality of signals from the plurality of myoelectric sensors, use the plurality of signals together to determine a gesture, and communicate one or more of: the plurality of signals and the gesture to the peripheral device.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the distal motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the distal hypotonia of a subject having a muscular disability, in particular SMA by active testing of the subject.

The present invention relates to the field of medical emergency signaling and user-activated medical alarm systems. In particular, a wrist-worn medical alert device (10) for conveying an emergency message to a caregiver (80) is presented, wherein the medical alert device is adapted to be worn at a wrist (101) of a subject (100), the device comprising: a PPG unit (20) adapted to acquire a first PPG signal (26) at first wavelength (λ1) and a second PPG signal (25) at second wavelength (λ2) over time at the wrist of the subject; a processing unit (30) adapted to receive the first and second PPG signals (25, 26) and to determine a finger movement of one or more fingers (102) of the subject (100) based on the first and second PPG signals; and a communication unit (40) adapted to transmit, based on the determined finger movement, an emergency message to the caregiver (80). The present invention further relates to a corresponding system (1), method (60) and computer program for carrying out said method.

Disclosed is a system for objective self-assessment of physical capabilities and condition changes of individuals with conditions like multiple sclerosis, the system has a mobile device with an appropriate software for carrying out a set of tests for assessment of motor capabilities such as body balance, muscle strength, and muscle spasticity, and receiving assessment feedback. The system has inertial motion sensors for performing motion sensing, wherein said inertial motion sensors are integrated with said mobile device, e.g., a smartphone, a smart watch, or a personal computer, or in a separate wearable sensor device, connected with said mobile device over wired or wireless data connection. Also disclosed is a method for such self-assessment with such system.

An electronic device is described. The electronic device includes a housing, a set of one or more SMI sensors attached to the housing, and a processor. The set of one or more SMI sensors includes a set of one or more electromagnetic radiation emitters having a set of one or more resonant cavities and configured to emit a set of one or more beams of electromagnetic radiation. The set of one or more SMI sensors also includes a set of one or more detectors configured to generate indications of self-mixing within the set of one or more resonant cavities. The processor is configured to characterize, using the indications of self-mixing, an optical field speckle of a target. The processor is also configured to characterize, using the characterization of the optical field speckle, a surface quality of the target.

The present invention provides objective methods of diagnosis and behavioural treatments of neurological disorders such as autism spectral disorders and Parkinson's disease.