초록 ▼

A method and system for monitoring. The monitoring system may include at least one wearable monitor, which may include an accelerometer, coupled to a user; at least one server communicatively coupled using a network to the at least one wearable monitor, the accelerometer facilitating detection of a

A method and system for monitoring. The monitoring system may include at least one wearable monitor, which may include an accelerometer, coupled to a user; at least one server communicatively coupled using a network to the at least one wearable monitor, the accelerometer facilitating detection of a fall by the user and transmitting notification of said fall to said at least one server, and the server allowing verification of the fall and adjustment of fall detection parameters either automatically or through a user interface.

대표청구항 ▼

1. A monitoring system, comprising: at least one wearable monitor coupled to a user, said at least one wearable monitor having at least one sensor, a memory, and a microcontroller; andat least one gateway having a transceiver;at least one device located at a remote location;at least one server coupl

1. A monitoring system, comprising: at least one wearable monitor coupled to a user, said at least one wearable monitor having at least one sensor, a memory, and a microcontroller; andat least one gateway having a transceiver;at least one device located at a remote location;at least one server coupled in communication over a wide-area network with the at least one gateway and at least one device;where the at least one wearable monitor incorporates a fall detection capability that determines whether the wearer has fallen based on values from the at least one sensor, wherein the at least one sensor is an accelerometer that measures acceleration on three axes, and the values from the at least one sensor determining whether the wearer has fallen include a first determination of which axis of the accelerometer is likely pointing toward the center of the earth, a second determination when that axis has experienced an acceleration above a threshold, a detection when that axis has next passed through zero, a measurement of the amount of time until that axis reaches a peak magnitude, a measurement of the amount of time from the peak magnitude until that axis passes through zero again; and a determination of whether that axis experiences an acceleration above a second threshold after having passed through zero twice;the at least one wearable monitor transmits fall signals and sensor data to the at least one gateway, and the at least one gateway transmits the signals and data to the least one server; andthe at least one server performs complex analysis on the signals and sensor data to filter false positives, predict future events, and generates and sends medical alerts to a caregiver. 2. A system in accordance with claim 1 wherein said at least one server has a user interface which facilitates verification of genuine fall events. 3. A system in accordance with claim 1 wherein the at least one monitor is adjustable based on configurable parameters. 4. A system in accordance with claim 3 wherein the configurable parameters are stored in the at least one server. 5. A system in accordance with claim 4 wherein the parameters are adjustable through a user interface on the at least one server. 6. A system in accordance with claim 4 wherein the parameters are adjusted automatically by the at least one server. 7. A method of detecting a fall, comprising: coupling a wearable monitor to a user;detecting a potential fall event;sending a fall signal and sensor data to at least one server over a wide area network;recording data relating to the potential fall event on at least one server;analyzing the data to determine if the signal is a false positive; andsending at least one alert using a wide-area network to at least one device at a remote location; anddetermining which axis of an accelerometer is likely pointing toward the center of the earth;determining when that axis has experienced an acceleration above a threshold;detecting when that axis has next passed through zero;measuring the amount of time until that axis reaches a peak magnitude;measuring the amount of time from the peak magnitude until that axis passes through zero again;determining whether that axis experiences an acceleration above a second threshold after having passed through zero twice;comparing this data to a set of parameters; andtransmitting the data to at least one server when the comparison to the set of parameters indicates a potential fall event. 8. A method in accordance with claim 7, further comprising: comparing the reading of each axis to a set of parameters; anddetermining which axes are most acceptably close to reading 1 G of acceleration. 9. A method in accordance with claim 7, further comprising: displaying indication of a potential fall event to a user; andallowing the user to confirm that the indicated potential fall event represents a genuine fall. 10. A method in accordance with claim 7, further comprising: analyzing the frequency and characteristics of indicated potential fall events that do not represent genuine falls;modifying the parameters to reduce the amount of indicated potential fall events that do not represent genuine falls; andtransmitting the new parameters to be stored on the wearable monitor. 11. A method in accordance with claim 10, wherein the analysis of the data and modification of the parameters are accomplished through a user interface. 12. A method in accordance with claim 10, wherein the analysis of the data and modification of the parameters are accomplished automatically, based on operator feedback regarding whether previous indicated fail events represented genuine falls. 13. A method in accordance with claim 12, in which the parameters are modified so to better suit the behavior characteristics of an individual user. 14. A method in accordance with claim 7 wherein the set of parameters includes at least one of: an acceptable magnitude of acceleration in any direction which will start execution of the algorithm;an acceptable duration of acceleration in any direction which will start execution of the algorithm;an acceptable magnitude of acceleration required as a starting point for the axis in question;an acceptable magnitude of acceleration on the other side of 0 in order to continue fall consideration;an acceptable magnitude of acceleration once it has returned to the original side of zero in order to indicate a potential fall event;an acceptable amount of time required to go from the peak magnitude on the original side of the zero axis to the peak magnitude on the other side of zero; andan acceptable amount of time required to return from the peak magnitude on the other side of zero to the minimum magnitude required for fall recognition on the original side of zero.