Physiological monitoring apparatus and networks
Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.
1. A method of monitoring a habit of a subject, the method comprising:
sensing information from the subject via a plurality of sensors worn by the subject;
detecting environmental information in a vicinity of the subject via at least one of the plurality of sensors worn by the subject;
executing at least one algorithm via at least one signal processor in communication with the plurality of sensors, wherein the at least one algorithm is configured to:
identify an occurrence of the habit via signals produced by the plurality of sensors, to log a time when the habit occurs, and to count a number of times the habit has occurred in a particular time period, wherein the habit is associated with subject physiological and/or psychological stress; and
identify the subject physiological and/or psychological stress during the occurrence of the habit;
storing the detected environmental information in data storage; and
accessing the stored environmental information at a subsequent time and executing another algorithm via the at least one signal processor to determine what environmental factors in the vicinity of the subject caused the identified occurrence of the habit and the physiological and/or psychological stress associated with the habit.
2. The method of claim 1 , further comprising, in response to identifying the occurrence of the habit, providing audible information about the habit to the subject via at least one audible device.
3. The method of claim 2 , wherein the audible information comprises a warning that the habit is occurring.
4. The method of claim 1 , wherein the plurality of sensors are supported by an apparatus configured to be worn at an ear or head of the subject.
5. The method of claim 1 , wherein at least one of the plurality of sensors comprises an acoustical sensor, and wherein sensing information from the subject comprises detecting sounds from the subject via the acoustical sensor.
6. The method of claim 4 , wherein the apparatus comprises the at least one signal processor.
7. The method of claim 2 , wherein the plurality of sensors, the at least one signal processor, and the at least one audible device are supported by an apparatus configured to worn at an ear or head of the subject.
8. The method of claim 1 , wherein the environmental factors include one or more of the following: noise, external sounds, lighting condition, light intensity and color, ozone level, ambient temperature.
9. The method of claim 1 , wherein the another algorithm is configured to determine whether noise, external sounds, lighting condition, light intensity and color, ozone level, or ambient temperature caused the identified subject physiological and/or psychological stress.
10. The method of claim 1 , wherein the at least one algorithm is configured to identify the subject physiological and/or psychological stress from one or more of the following obtained from the plurality of sensors: subject muscle tension, subject breathing rate, subject pulse rate, subject neurological activity, subject brain wave intensity and activity, subject core body temperature, subject blood pressure, subject galvanometric response.
11. The method of claim 1 , wherein the at least one algorithm comprises two or more algorithms.
12. A method of monitoring a habit of a subject, the method comprising:
sensing information from the subject via a plurality of sensors worn by the subject;
detecting environmental information in a vicinity of the subject via at least one of the plurality of sensors worn by the subject;
executing at least one algorithm via at least one signal processor in communication with the plurality of sensors, wherein the at least one algorithm is configured to:
identify an occurrence of the habit via signals produced by the plurality of sensors, to log a time when the habit occurs, and to count a number of times the habit has occurred in a particular time period, wherein the habit is associated with subject physiological and/or psychological stress; and
identify the subject physiological and/or psychological stress during the occurrence of the habit from one or more of the following sensed by the plurality of sensors: subject muscle tension, subject breathing rate, subject pulse rate, subject neurological activity, subject brain wave intensity and activity, subject core body temperature, subject blood pressure, subject galvanometric response;
storing the detected environmental information in data storage; and
accessing the stored environmental information at a subsequent time and executing another algorithm via the at least one signal processor to determine whether one or more of the following environmental factors in the vicinity of the subject caused the identified occurrence of the habit and the physiological and/or psychological stress associated with the habit: noise, external sounds, lighting condition, light intensity and color, ozone level, or ambient temperature.
13. The method of claim 12 , further comprising, in response to identifying the occurrence of the habit, providing audible information about the habit to the subject via at least one audible device, wherein the audible information comprises a warning that the habit is occurring.
14. The method of claim 12 , wherein the plurality of sensors are supported by an apparatus configured to be worn at an ear or head of the subject.
15. The method of claim 12 , wherein at least one of the plurality of sensors comprises an acoustical sensor, and wherein sensing information from the subject comprises detecting sounds from the subject via the acoustical sensor.
16. The method of claim 14 , wherein the apparatus comprises the at least one signal processor.
17. The method of claim 13 , wherein the plurality of sensors, the at least one signal processor, and the at least one audible device are supported by an apparatus configured to worn at an ear or head of the subject.
18. The method of claim 12 , wherein the at least one algorithm comprises two or more algorithms.