Abstract: A movement monitoring system for objectively quantifying a motor control disorder in a subject comprises a movement detection device generating movement data representing movement of a limb of the subject and an analyser for analysing the movement data. The movement detection device comprises sensors measuring at least motion of the device and pressure applied to the device by the subject. The analyser comprises a processor and a memory containing code which, when executed by the processor, receives the movement data generated by the movement detection device, applies the received movement data to an algorithmic model stored in the memory and identifies one or more features from the movement data that represent disordered movement by the subject, and calculates from the one or more identified features a score corresponding to the existence of the motor control disorder in the subject.

Abstract: The present invention relates to an automated method of determining a kinetic state of a person. The method obtains accelerometer data from an accelerometer worn on an extremity of the person and processes the accelerometer data to determine a measure for the kinetic state. The present invention further relates to a device for determining a kinetic state of a person. The device comprises a processor configured to process data obtained from an accelerometer worn on an extremity of the person and to determine from the data a measure for the kinetic state. In the method and system the kinetic state is at least one of bradykinesia, dyskinesia, and hyperkinesia.

Abstract: A method of determining a state of progression in a subject of a disease or treatment having motion symptom comprises obtaining a time series of motion data from a motion detector worn on an extremity of the subject, over an extended period during usual activities of the subject; processing the motion data to produce a plurality of measures of kinetic state of the subject at a respective plurality of times throughout the extended period, each measure of kinetic state comprising at least one of: a measure for bradykinesia, and a measure for dyskinesia; determining a measure of dispersion of the measures of kinetic state; combining the measure of dispersion with at least one other data characteristic determined from the motion data, to produce a selection score; and generating an output indicating the selection score.

Abstract: A state of progression in an individual of a disease or treatment having motion symptoms is determined. A time series of accelerometer data is obtained from an accelerometer worn on an extremity of the person, over an extended period during everyday activities of the person. The accelerometer data is processed to produce a plurality of measures of kinetic state of the individual at a respective plurality of times throughout the extended period, each measure of kinetic state comprising at least one of: a measure for bradykinesia, and a measure for dyskinesia. A measure of dispersion of the measures of kinetic state is determined. An output is generated, indicating that motion symptoms are at an initial stage if the measure of dispersion is less than a threshold, or indicating that motion symptoms are at an advanced stage if the measure of dispersion is greater than the threshold.

Abstract: Assessing sleep state of an individual. A time series of accelerometer data is obtained from an accelerometer device mounted upon or to the individual. From the time series of accelerometer data a percentage of time in which the individual is substantially immobile (% TA) is determined. From the time series of accelerometer data a typical time of continuous immobility (MTI) is also determined. The % TA and MTI are combined such as by weighted sum, to produce a sleep score. If the sleep score exceeds a threshold, this is an indication that the individual is asleep.

Abstract: The present invention relates to an automated method of determining a kinetic state of a person. The method obtains accelerometer data from an accelerometer worn on an extremity of the person and processes the accelerometer data to determine a measure for the kinetic state. The present invention further relates to a device for determining a kinetic state of a person. The device comprises a processor configured to process data obtained from an accelerometer worn on an extremity of the person and to determine from the data a measure for the kinetic state. In the method and system the kinetic state is at least one of bradykinesia, dyskinesia, and hyperkinesia.

Abstract: The present invention relates to an automated method of determining a kinetic state of a person. The method obtains accelerometer data from an accelerometer worn on an extremity of the person and processes the accelerometer data to determine a measure for the kinetic state. The present invention further relates to a device for determining a kinetic state of a person. The device comprises a processor configured to process data obtained from an accelerometer worn on an extremity of the person and to determine from the data a measure for the kinetic state. In the method and system the kinetic state is at least one of bradykinesia, dyskinesia, and hyperkinesia.

Abstract: A state of progression in an individual of a disease or treatment having motion symptoms is determined. A time series of accelerometer data is obtained from an accelerometer worn on an extremity of the person, over an extended period during everyday activities of the person. The accelerometer data is processed to produce a plurality of measures of kinetic state of the individual at a respective plurality of times throughout the extended period, each measure of kinetic state comprising at least one of: a measure for bradykinesia, and a measure for dyskinesia. A measure of dispersion of the measures of kinetic state is determined. An output is generated, indicating that motion symptoms are at an initial stage if the measure of dispersion is less than a threshold, or indicating that motion symptoms are at an advanced stage if the measure of dispersion is greater than the threshold.

Abstract: The present invention relates to an automated method of determining a kinetic state of a person. The method obtains accelerometer data from an accelerometer worn on an extremity of the person and processes the accelerometer data to determine a measure for the kinetic state. The present invention further relates to a device for determining a kinetic state of a person. The device comprises a processor configured to process data obtained from an accelerometer worn on an extremity of the person and to determine from the data a measure for the kinetic state. In the method and system the kinetic state is at least one of bradykinesia, dyskinesia, and hyperkinesia.