For measuring functionality of an orifice (16, 20) in the human pelvic region an elongated probe (4; 54) for insertion in the orifice (16, 20) is provided. The probe (4; 54) comprises one or more electrodes (5a-6a, 5b-6b, 6a-7a, 6b-7b; 55a-56a, 55b-56b, 56a-57a, 56b-57b, 57a-92a, 57b-92b) for stimulating receptors (23, 25) in tissue bounding the orifice (16, 20) and one or more muscle activity sensors (8a, 8b, 8c, 9a, 9b, 9c, 10a, 10b, 10c, 10d, 11a, 11b, 11e, 12a, 12b, 12c; 58a, 58b, 58c, 59a, 59b, 59c, 60a, 60b, 60c, 60d, 61a, 61b, 61c, 62) for sensing muscle activity causing pressure to be exerted by tissue bounding the orifice (16, 20). A control system (I) connected to the probe (4; 54) is arranged for outputting a neurostimulation signal (35) to the electrode or electrodes and for registering a pressure signal or signals from the pressure sensor or sensors during a time interval directly subsequent to the outputting of the neurostimulation signal.

A method includes receiving geo-location data collected over time period. The geo-location data is associated with a monitoring device. The method further includes receiving motion tracking data of the monitoring device. The motion tracking data is collected over time period. The method includes identifying one or more activities. The activities are identified based on inference rules that identify certain activities to have occurred when at least part of the motion tracking data is correlated to the received geo-location data. The method further includes defining a metric for one or more of the identified activities. The metric is associated to a calendar date. The method includes sending the metric to a calendar application with integration instructions. The integration instructions define the calendar date to which the metric will be added.

Apparatus, systems, and methods are provided for measuring and analyzing movements of a body and for communicating information related to such body movements over a network. In certain embodiments, a system gathers biometric and biomechanical data relating to positions, orientations, and movements of various body parts of a user performed during sports activities, physical rehabilitation, or military or law enforcement activities. The biometric and biomechanical data can be communicated to a local and/or remote interface, which uses digital performance assessment tools to provide a performance evaluation to the user. The performance evaluation may include a graphical representation (e.g., a video), statistical information, and/or a comparison to another user and/or instructor. In some embodiments, the biometric and biomechanical data is communicated wirelessly to one or more devices including a processor, display, and/or data storage medium for further analysis, archiving, and data mining. In some embodiments, the device includes a cellular telephone.

An apparatus for testing and exercising pelvic floor musculature, the apparatus comprising an elongate housing adapted for a pelvic floor aperture. The housing accommodates an oscillator and an accelerometer connected to a signal processor configured for communicating signals representative of values read from the accelerometer. A result is calculated from an applied oscillation and a response measured, and used for characterizing the musculature. In one embodiment the frequency resulting in the greatest response from the musculature is measured, and this frequency is applied during exercise.

A weight machine sensor includes a force sensor, a position sensor, and a processor. The force sensor is programmed to output a force signal representing a force applied to a pulley-disposed on a cable incorporated into exercise equipment having a stack of weights. The position sensor is programmed to detect motion of the stack of weights and output a position signal representing the motion detected. The processor is programmed to receive the force signal and the rotation signal and determine, from the force signal and the position signal, exercise data including an amount of exercise resistance and a number of repetitions performed.

Methods, devices and system are provided. One method includes capturing activity data associated with activity of a user via a device. The activity data is captured over time, and the activity data is quantifiable by a plurality of metrics. The method includes storing the activity data in storage of the device and, from time to time, connecting the device with a computing device over a wireless communication link. The method defines using a first transfer rate for transferring activity data captured and stored over a period of time. The first transfer rate is used following startup of an activity tracking application on the computing device The method also defines using a second transfer rate for transferring activity data from the device to the computing device for display of the activity data in substantial-real time on the computing device.

A method and apparatus to facilitate learning while moving, efficient multitasking involving movement while the user processes or responds to different stimuli. The stimuli may include but are not limited to information related to education or entertainment or feedback concerning the user's movement. More specifically this movement may be related to coordination, exercise or physiotherapy. The methods and apparatuses of the disclosure involve the user conducting movement, while simultaneously processing information (via: learning; creating through typing, moving, or talking; or being entertained) and receiving feedback or assistance related to that movement, processing, or any combination thereof.

The invention relates to devices, systems and methods exploiting capacitive means for monitoring and analysing teeth-related parameters in a subject, such as the dental occlusion profile and/or the load/force applied upon clenching. The device comprises a body such as a bite fork or bite splint, capacitive sensor(s) incorporated within a soft substrate reversibly deformable once bitten by a subject and a micro-controller unit. The teeth contact points and forces applied upon occlusion are measured via the sensors, delivered to and re-elaborated by the micro-controller unit and possibly sent and visualized in a graphical/numerical fashion on e.g. a display screen.

In aspects of a wireless hand sensory apparatus for weight monitoring, a wearable article is worn by a user who moves items. A tracking system is implemented in the wearable article, and the tracking system includes a force sensor, or force sensors, in the wearable article to register a force on an item. The tracking system includes tracking logic that determines a weight of the item based on the force on the item. The tracking system may also include a motion sensor to sense motion of the wearable article, and the tracking logic determines how the item is moved based on the motion of the wearable article. The tracking logic can also determine the weight of the item based on the force on the item in combination with a speed of the motion of the wearable article.

In aspects of a wireless hand sensory apparatus for weight monitoring, a wearable article is worn by a user who moves items. A tracking system is implemented in the wearable article, and the tracking system includes a force sensor, or force sensors, in the wearable article to register a force on an item. The tracking system includes tracking logic that determines a weight of the item based on the force on the item. The tracking system may also include a motion sensor to sense motion of the wearable article, and the tracking logic determines how the item is moved based on the motion of the wearable article. The tracking logic can also determine the weight of the item based on the force on the item in combination with a speed of the motion of the wearable article.