An intraoral multisensor device includes a mouthpiece, a plurality of sensors at least one of attached to or integrated with the mouthpiece, and a data communications unit configured to receive signals from the plurality of sensors. The mouthpiece has a form to permit stable arrangement at least partially within a person's mouth such that it can remain for hands-free sensing of a plurality of biological parameters. Also, an intraoral multisensor system includes an intraoral multisensor device and a data processing device adapted to communicate with the intraoral multisensor device.

Monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

Monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

A method of navigating and positioning an endovascular device in a vasculature is disclosed. Initially, a system including an endovascular device and at least one transducer is inserted into the lumen of a patient. An acoustic signal is then transmitted within the lumen. A reflected signal is pre-processed to extract one or more acoustic features. The one or more acoustic features are processed using a computer readable set of rules to produce an output related to guidance of the instrument within a blood vessel or a position of the instrument within the blood vessel.

A method of navigating and positioning an endovascular device in a vasculature is disclosed. Initially, a system including an endovascular device and at least one transducer is inserted into the lumen of a patient. An acoustic signal is then transmitted within the lumen. A reflected signal is pre-processed to extract one or more acoustic features. The one or more acoustic features are processed using a computer readable set of rules to produce an output related to guidance of the instrument within a blood vessel or a position of the instrument within the blood vessel.

The present invention is both a device and a method for verifying a subject's identity while using a medical device or undergoing a medical diagnostic or therapeutic procedure, particularly at home or at a remote location. The method and device can be used for inpatient and remote sleep and signal analysis with biometric identification. The present invention is further related to the devices and sensors used in executing the method, and includes various embodiments of a method of inpatient and remote sleep analysis.

The present invention is both a device and a method for verifying a subject's identity while using a medical device or undergoing a medical diagnostic or therapeutic procedure, particularly at home or at a remote location. The method and device can be used for inpatient and remote sleep and signal analysis with biometric identification. The present invention is further related to the devices and sensors used in executing the method, and includes various embodiments of a method of inpatient and remote sleep analysis.

The invention relates to wearable electronic equipment and method for measuring heart rate or muscular activity of a person. The equipment comprises one or more heartbeat or muscular activity sensors for providing a heartbeat or muscular activity signal, respectively, and a motion sensor for providing a motion signal corresponding to movement of the person. In addition, there are provided processing means for detecting from the heartbeat or muscular activity signal first events corresponding to individual heartbeats or muscle activations, respectively, and from the motion signal second events corresponding to movement changes stronger than a predefined threshold. The processing means are further programmed to form a first time series of said first events, and to determine the heartbeat or muscular activity parameter using the first time series. According to the invention, the processing means are programmed to omit from said first time series those first events that coincide with and/or take place at the same frequency as the second events. The invention helps to remove motion-induced artifacts from ECG and EMG signals for more accurate sports performance monitoring and characterization.

The invention relates to wearable electronic equipment and method for measuring heart rate or muscular activity of a person. The equipment comprises one or more heartbeat or muscular activity sensors for providing a heartbeat or muscular activity signal, respectively, and a motion sensor for providing a motion signal corresponding to movement of the person. In addition, there are provided processing means for detecting from the heartbeat or muscular activity signal first events corresponding to individual heartbeats or muscle activations, respectively, and from the motion signal second events corresponding to movement changes stronger than a predefined threshold. The processing means are further programmed to form a first time series of said first events, and to determine the heartbeat or muscular activity parameter using the first time series. According to the invention, the processing means are programmed to omit from said first time series those first events that coincide with and/or take place at the same frequency as the second events. The invention helps to remove motion-induced artifacts from ECG and EMG signals for more accurate sports performance monitoring and characterization.

A method includes receiving monitoring data from at least one sensing device coupled to a subject and analyzing the monitoring data to identify one or more physiologic parameters of the subject. The method also includes providing signaling to at least one stimulating device in response to the identified physiologic parameters, the signaling comprising instructions to apply a stimulus to the subject. The method further includes receiving additional monitoring data from the at least one sensing device, analyzing the additional monitoring data to identify one or more changes in the one or more physiologic parameters of the subject after application of the stimulus to the subject, and providing additional signaling to the at least one stimulating device, the additional signaling comprising instructions to modify the stimulus applied to the subject based on the identified changes in the one or more physiologic parameters.