Abstract: An RFID transponder including a Bluetooth compatible transceiver is described as a (BLEET). The Bluetooth® compatible transceiver may be configured to set data that is transmitted via one or more RFID transceivers in the transponder and to return data received by the RFID transceiver(s) to a client application running, for example, on a user's smart phone. The BLEET may be used for electronic vehicle tracking or tolling. Vehicle occupancy data may be set by the user with the client application via a Bluetooth® connection in connection with high occupancy vehicle tolling and express lane incentive programs.

Abstract: An RFID transponder including a Bluetooth® compatible transceiver is described a (BLEET). The Bluetooth® compatible transceiver may be configured to set data that is transmitted via one or more RFID transceivers in the transponder and to return data received by the RFID transceiver(s) to a client application running, for example, on a user's smart phone. The BLEET may be used for electronic vehicle tracking or tolling. Vehicle occupancy data may be set by the user with the client application via a Bluetooth® connection in connection with high occupancy vehicle tolling and express lane incentive programs.

Abstract: An RFID transponder including a Bluetooth® compatible transceiver is described a (BLEET). The Bluetooth® compatible transceiver may be configured to set data that is transmitted via one or more RFID transceivers in the transponder and to return data received by the RFID transceiver(s) to a client application running, for example, on a user's smart phone. The BLEET may be used for electronic vehicle tracking or tolling. Vehicle occupancy data may be set by the user with the client application via a Bluetooth® connection in connection with high occupancy vehicle tolling and express lane incentive programs.

Abstract: A monitoring device with a pedometer preferably comprises an article, an optical sensor, an accelerometer, a short range wireless transceiver, and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to generate a pedometer function.

Abstract: A monitoring device with a pedometer function preferably comprises an article, an optical sensor, an accelerometer and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to generate a pedometer function.

Abstract: A monitoring device with a pedometer function preferably comprises an article, an optical sensor, an accelerometer and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to generate a pedometer function.

Abstract: A mobile plethysmographic device for detecting a Peripheral Artery Disease (“PAD”) event or other arrhythmia event is disclosed herein. The mobile plethysmographic device generates a pleth waveform, which is automatically screened by algorithms that measure the waveform to correlate, detect and store aberrations related to heart anomalies. A peripheral artery disease event for a patient is determined based on a quantative measure of blood flow in the extremities based on the differential in amplitude in the pleth signal between the arm and the two lower extremities. The changes in amplitude from the arm and one or both lower extremities can indicate PAD.

Abstract: A mobile plethysmographic device for detecting a premature ventricular contraction event is disclosed herein. The mobile plethysmographic device generates a pleth waveform, which is automatically screened by algorithms that measure the waveform to correlate, detect and store aberrations related to heart anomalies. A premature ventricular contraction event for a patient is determined based on an identification of a time interval of the pleth waveform that is below the threshold minimum time interval followed immediately by a time interval that is above the threshold maximum tine interval.

Abstract: A monitoring device with a pedometer is disclosed herein. The monitoring device preferably comprises an article, an optical sensor, an accelerometer and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to generate a pedometer function.

Abstract: A monitoring device (20) and method (200) for monitoring the health of a user is disclosed herein. The monitoring device (20) is preferably an article (25), an optical sensor (30), a circuitry assembly (35) a display member (40) and a control component (43). The monitoring device (20) preferably displays the following information about the user: pulse rate; calories expended by the user of a pre-set time period; target zones of activity; time; and distance traveled.

Abstract: A monitoring device with a pedometer is disclosed herein. The monitoring device preferably comprises an article, an optical sensor, an accelerometer and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to generate a pedometer function.

Abstract: A mobile plethysmographic device for detecting a premature ventricular contraction event is disclosed herein. The mobile plethysmographic device generates a pleth waveform, which is automatically screened by algorithms that measure the waveform to correlate, detect and store aberrations related to heart anomalies. A premature ventricular contraction event for a patient is determined based on an identification of a time interval of the pleth waveform that is below the threshold minimum time interval followed immediately by a time interval that is above the threshold maximum time interval.

Abstract: An optical sensor for a monitoring device for monitoring the vital signs of a user is disclosed herein. The optical sensor preferably includes a photodetector and a two light emitting diodes (“LEDs”) that emit green light. The optical sensor includes a light barrier that includes multiple walls that block any non-reflected light from the LEDs from transmission to the photodetector so that the photodetector only receives light reflected from the artery of the user resulting in a more accurate detection of the heart rate of the user. A sensor signal from the optical sensor is processed with an accelerometer output signal from the accelerometer to generate a real-time vital sign for a user.

Abstract: A mobile plethysmographic device for detecting a premature ventricular contraction event is disclosed herein. The mobile plethysmographic device generates a pleth waveform, which is automatically screened by algorithms that measure the waveform to correlate, detect and store aberrations related to heart anomalies. A premature ventricular contraction event for a patient is determined based on an identification of a time interval of the pleth waveform that is below the threshold minimum time interval followed immediately by a time interval that is above the threshold maximum tine interval.

Abstract: A method and system for continuous, mobile, ambulatory diagnostic monitoring for heart rate disease and abnormal conditions is disclosed herein. This device overcomes the prior art problems and allows for a continuous heart rate to be collected and recorded for extended time frames equivalent to a Holter monitor or special pulse oximeter.

Abstract: A method and system to monitor a prisoner in a prison is disclosed herein. The prisoner's vital signs are monitored and the movement of the prisoner. The monitoring device measures real-time data for the at least one vital sign of the prisoner, calculates at least a real-time heart rate data, and transmits the real-time heart rate data to the receiving device for display on the display screen.

Abstract: A mobile plethysmographic device for detecting a premature atrial contraction event is disclosed herein. The mobile plethysmographic device generates a pleth waveform, which is automatically screened by algorithms that measure the waveform to correlate, detect and store aberrations related to heart anomalies. A premature atrial contraction event for a patient is determined based on an identification of a time interval of the pleth waveform that is below the threshold minimum time interval followed immediately by a time interval that is above the threshold maximum tine interval.

Abstract: A monitoring device for monitoring the vital signs of a user is disclosed herein. The monitoring device is preferably comprises an article, an optical sensor, an accelerometer and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to create a filtered vital sign signal used to generate a real-time vital sign for a user.

Abstract: A monitoring device with a pedometer preferably comprises an article, an optical sensor, an accelerometer, a short range wireless transceiver, and processor. The optical sensor preferably comprises a photodetector and a plurality of light emitting diodes. A sensor signal from the optical sensor is processed with a filtered accelerometer output signal from the accelerometer to generate a pedometer function.

Abstract: A mobile plethysmographic device for detecting a premature atrial contraction event is disclosed herein. The mobile plethysmographic device generates a pleth waveform, which is automatically screened by algorithms that measure the waveform to correlate, detect and store aberrations related to heart anomalies. A premature atrial contraction event for a patient is determined based on an identification of a time interval of the pleth waveform that is below the threshold minimum time interval followed immediately by a time interval that is above the threshold maximum time interval.