Other

Rutgers, The State University of New Jersey

Colgate Palmolive Company

William Craelius

Nicki Ann Newby

Al Aquanza Sprosta

Nam Hun Kim

Bianca Pineda

Shiv Patel

Colin Kosinski

Don Yungher

Carey A Glass

David J Curcie

Rochel Lieber Abboudi

In one embodiment, the invention can be a system for determining toothbrush effectiveness, the system comprising a data capture subsystem comprising at least one sensor and configured to generate brushing data during a participant brushing session directed entirely by the participant, and at least one processor configured to receive the brushing data from the data capture subsystem. A brushing simulation subsystem includes artificial teeth; and a robotic arm configured to: hold a toothbrush; and receive from the at least one processor instructions for a motion to be carried out by the robotic arm, the motion of the robotic arm causing the toothbrush to carry out an automated brushing session upon the artificial teeth, the motion of the robotic arm being based on the brushing data captured during the participant brushing session.

System and method for assessing toothbrush effectiveness

In one embodiment, the invention can be a system for determining toothbrush effectiveness, the system comprising a data capture subsystem comprising at least one sensor and configured to generate brushing data during a participant brushing session directed entirely by the participant. A brushing simulation subsystem includes a robotic arm configured to hold a toothbrush, and receive from at least one processor instructions for a motion to be carried out by the robotic arm. The motion of the robotic arm causes the toothbrush to carry out an automated brushing session upon the artificial teeth, the motion of the robotic arm being based on the brushing data captured during the participant brushing session. The at least one processor is further configured to determine an effectiveness of the toothbrush based on the substance determined to be removed from artificial teeth during an automated brushing session.

A gesture recognition biofeedback device is provided for improving fine motor function in persons with brain injury. The system detects a physical characteristic of the patient and provides feedback based on the detected characteristic. For instance, the system may detect surface muscle pressures of the forearm to provide real-time visual biofeedback to the patient based on a comparison of the detected muscle pressure and predefined values indicative of appropriate motor function.

Gesture recognition biofeedback

A manual manipulation apparatus including a frame assembly, at least one handle associated with frame assembly, a mounting structure configured for mounting of a computer device relative to the frame assembly and an optional glide base connected to the frame assembly, the glide base defining an area of reduced friction. The handle can be configured as a grip handle which allows a gripping force to be applied and indicated.

Manual manipulation apparatus

An encoding and classification method is provided which is capable of comprehensively featuring relevant spectral information for the early detection of diabetes-induced cardiac autonomic neuropathy using the LP-cepstral discriminant classifier for quick, noninvasive assessment (screening) of neuropathy in diabetics. Patients are tested in the supine position thus avoiding the stresses to the patient that are associated with tilt table testing.

Classification of heart rate variability patterns in diabetics using cepstral analysis

There is disclosed a control system for use with a prosthetic device comprising a sensor for sensing volitional movement of a muscle, tendon or ligament intended to cause an associated desired movement of another body part and generating an at least one signal in response thereto, and an electronic interface for analyzing at least one signal and sending a corresponding at least one control signal to the prosthetic or orthotic device indicative of the desired movement of another body part.

Biomimetic controller for a multi-finger prosthesis

Apparatus for digitally recording and analyzing electrocardial and other bioelectric signals, includes a port for connecting an external measuring device; first and second differential input channels for receiving a data signal from the measuring device and for amplifying and filtering the data signal; a compression circuit for compressing the data signal from the input channels so that the compressed data signal includes only changes in amplitudes at particular points, along with a measure of elapsed time since a previous change in amplitude at the particular points, thereby omitting redundant points of the data signal; a random access memory for storing the compressed data signal; a microprocessor for controlling the storage of the compressed data signal in the memory; a power management circuit for turning power to the apparatus ON and OFF at predetermined intervals; and a position switch for indicating the position of a person wearing the apparatus relative to a vertical position.

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Piscataway, NJ, United States of America

William Craelius