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`5 NWLITILITY PATENT APPLICATION TRANSMITTAL
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`TO THE COMMISSIONER FOR PATENTS
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`Transmitted herewith for filing under 35 U.S.C. 111(a) and 37 C.F.R. 1.53(b) is a new utility patent application for an
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`invention entitled:
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`‘SYSTEM FORMONITORINGHEALTH,WELLNESS ANDFITNESS
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`eululeu
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`If a CONTINUATION APPLICATION, check appropriate box and supply the requisite information:
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`Application Elements
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`Specification having
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`Descriptive Title of the Invention
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`Cross References to Related Applications (if applicable)
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`Statement Regarding Federally-sponsored Res.earchlDeveIopment (if applicable)
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`Reference to Sequence Listing. a Table, or a Computer Program Listing Appendix
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`IZIZIIEJKIXI Abstract of the Disclosure
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`Detailed Description
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`Application Elements (Continued)
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`see 37 C.F.R. 1.63(d)(2) and 1.33(b).
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`Nucleotide and/or Amino Acid Sequence Submission (if applicable, all must be included)
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`UTILITY PATENT APPLICATION TRANSMITTAL
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`Accompanying Application Parts (Continued)
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`17. El Applicant claims small entity status. See 37 CFR 1.27.
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`Additional Enclosures (please identify below):
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`19. El Pursuant to 35 U.S.C. 122(b)(2), Applicant hereby requests that this patent application not be
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`published pursuant to 35 U.S.C. 122(b)(1). Applicant hereby certifies that the invention disclosed in
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`this application has not and will not be the subject of an application filed in another country, or under
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`such foreign or international application. A failure of the applicant to provide such notice
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`within the prescribed period shall result in the application being regarded as abandoned,
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`Dated: August 11, 2003
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`Signature
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`Barry I. Friedman, Esq.
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`CERTIFICATE OF MAILING BY "EXPRESS MAIL" (37 CFR 1.10)
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`D°°'<e* N0-
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`Serial No.
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`Filing Date
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`Examiner
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`I hereby certify that the following correspondence:
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`pplication Transmittal Letter, specification, claims, drawings (17), copy of Declaration/Power of Attorney,
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`nformation Disclosure Statement/PT01449, Checks (2)
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`is being deposited with the United States Postal Service "Express Mail Post Office to Addressee" service under 37
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`CFR 1.10 in an envelope addressed to: Commissioner for Patents, P.O. Box 1450, Alexandria, VA 22313-1450 on
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`August 11, 2003
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`EV 068576374 US
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`SYSTEM FOR MONITORING HEALTH, WELLNESS AND FITNESS
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`CROSS REFERENCE TO A RELATED APPLICATIONS
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`This application is a continuation of co—pending United States Application Serial No.
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`09/602,537, filed June 23, 2000, which is a continuation—in—part of co-pending United States
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`Application Serial No. 09/595,660, filed June 16, 2000.
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`FIELD OF THE INVENTION
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`The present invention relates to a system for monitoring health, wellness and fitness, and in
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`particular, to a system for collecting, using a sensor device, and storing at a remote site data relating
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`to an individual’s physiological state, lifestyle, and various contextual parameters, and making such
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`data and analytical information based on such data available to the individual, preferably over an
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`BACKGROUND OF THE INVENTION
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`Research has shown that a large number of the top health problems in society are either
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`caused in whole or in part by an unhealthy lifestyle. More and more, our society requires people to
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`lead fast-paced, achievement-oriented lifestyles that often result in poor eating habits, high stress
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`levels, lack of exercise, poor sleep habits and the inability to find the time to center the mind and
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`relax. Recognizing this fact, people are becoming increasingly interested in establishing a healthier
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`Traditional medicine, embodied in the form of an HMO or similar organizations, does not
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`have the time, the training, or the reimbursement mechanism to address the needs of those
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`individuals interested in a healthier lifestyle. There have been several attempts to meet the needs of
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`these individuals, including a perfusion of fitness programs and exercise equipment, dietary plans,
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`self-help books, alternative therapies, and most recently, a plethora of health information web sites
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`on the Internet. Each of these attempts are targeted to empower the individual to take charge and get
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`healthy. Each of these attempts, however, addresses only part of the needs of individuals seeking a
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`healthier lifestyle and ignores many of the real barriers that most individuals face when trying to
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`adopt a healthier lifestyle. These barriers include the fact that the individual is often left to himself
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`or herself to find motivation, to implement a plan for achieving a healthier lifestyle, to monitor
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`progress, and to brainstorm solutions when problems arise; the fact that existing programs are
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`directed to only certain aspects of a healthier lifestyle, and rarely come as a complete package; and
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`the fact that recommendations are often not targeted to the unique characteristics ofthe individual or
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`his life circumstances.
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`SUMMARY OF THE INVENTION
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`An apparatus for monitoring human status parameters is disclosed which includes at least
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`two sensors adapted to be worn on an individual’s body. At least one of the sensors is a
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`physiological sensor selected from the group consisting of respiration sensors, temperature
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`sensors, heat flux sensors, body conductance sensors, body resistance sensors, body potential
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`sensors, brain activity sensors, blood pressure sensors, body impedance sensors, body motion
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`sensors, oxygen consumption sensors, body chemistry sensors, body position sensors, body”
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`pressure sensors, light absorption sensors, body sound sensors, piezoelectric sensors,
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`electrochemical sensors, strain gauges, and optical sensors. The sensors are adapted to generate
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`data indicative of at least a first parameter of the individual and a second parameter of the
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`individual, wherein the first parameter is a physiological parameter. The apparatus also includes
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`a processor that receives at least a portion of the data indicative of the first parameter and the
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`second parameter. The processor is adapted to generate derived data from at least a portion of
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`the data indicative of a first parameter and a second parameter, wherein the derived data
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`comprises a third parameter of the individual. The third parameter is an individual status
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`parameter that cannot be directly detected by either of the at least two sensors.
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`In an alternate embodiment, an apparatus for monitoring human status parameters is
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`disclosed that includes at least two sensors adapted to be worn on an individual’s body selected
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`from the group consisting of physiological sensors and contextual sensors, wherein at least one
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`of the sensors is a physiological sensor. The sensors are adapted to generate data indicative of at
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`least a first parameter of the individual and a second parameter of the individual, wherein the
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`first parameter is physiological. The apparatus also includes a processor for receiving at least a
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`portion of the data indicative of at least a first parameter and a second parameter, the processor
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`being adapted to generate derived data from the data indicative of at least a first parameter and a
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`second parameter. The derived data comprises a third parameter of the individual selected from
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`the group consisting of ovulation state, sleep state, calories burned, basal metabolic rate, basal
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`temperature, physical activity level, stress level, relaxation level, oxygen consumption rate, rise
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`time, time in zone, recovery time, and nutrition activity. The third parameter is an individual
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`status parameter that cannot be directly detected by any of the at least two sensors.
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`In either embodiment of the apparatus, the at least two sensors may be both physiological
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`sensors, or may be one physiological sensor and one contextual sensor. The apparatus may
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`further include a housing adapted to be worn on the individual’s body, wherein the housing
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`supports the sensors or wherein at least one of the sensors is separately located from the housing.
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`The apparatus may further include a flexible body supporting the housing having first and
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`second members that are adapted to wrap around a portion of the individual’s body. The flexible
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`body may support one or more of the sensors. The apparatus may further include wrapping
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`means coupled to the housing for maintaining contact between the housing and the individual’s
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`body, and the wrapping means may support one or more of the sensors.
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`Either embodiment of the apparatus may further include a central monitoring unit remote
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`from the at least two sensors that includes a data storage device. The data storage device
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`receives the derived data from the processor and retrievably stores the derived data therein. The
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`apparatus also includes means for transmitting information based on the derived data from the
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`central monitoring unit to a recipient, which recipient may include the individual or a third party
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`authorized by the individual. The processor may be supported by a housing adapted to be worn
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`on the individual’s body, or alternatively may be part of the central monitoring unit.
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`The apparatus may be further adapted to obtain life activities data of the individual,
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`wherein the information transmitted from the central monitoring unit is also based on the life
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`activities data. The central monitoring unit may also be adapted to generate and provide
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`feedback relating to the degree to which the individual has followed a suggested routine. The
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`feedback may be generated from at least a portion of at least one of the data indicative of at least
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`a first parameter and a second parameter, the derived data and the life activities data. The central
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`monitoring unit may also be adapted to generate and provide feedback to a recipient relating to
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`management of an aspect of at least one of the individual’s health and lifestyle. This feedback
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`may be generated from at least one of the data indicative of a first parameter, the data indicative
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`of a second parameter and the derived data. The feedback may include suggestions for
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`modifying the individual’s behavior.
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`BRIEF DESCRIPTION OF THE DRAWINGS
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`of the following detailed description of the present invention, taken in conjunction with the
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`following drawings, in which like reference characters refer to like parts, and in which:
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`Fig. 1 is a diagram of an embodiment of a system for monitoring physiological data
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`and lifestyle over an electronic network according to the present invention;
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`Fig. 2 is a block diagram of an embodiment of the sensor device shown in Fig. 1;
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`Fig. 3 is a block diagram of an embodiment of the central monitoring unit shown in
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`Fig. 1;
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`Fig. 4 is a block diagram of an alternate embodiment of the central monitoring unit
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`shown in Fig. 1;
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`Fig. 5 is a representation of a preferred embodiment of the Health Manager web page
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`according to an aspect of the present invention;
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`Fig. 6 is a representation of a preferred embodiment of the nutrition web page
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`according to an aspect of the present invention;
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`Fig. 7 is a representation of a preferred embodiment of the activity level web page
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`according to an aspect of the present invention;
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`Fig. 8 is a representation of a preferred embodiment of the mind centering web page
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`according to an aspect of the present invention;
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`Fig. 9 is a representation of a preferred embodiment of the sleep web page according
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`to an aspect of the present invention;
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`Fig. 10 is a representation of a preferred embodiment of the daily activities web page
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`according to an aspect of the present invention;
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`Fig. 1 1 is a representation of a preferred embodiment of the Health Index web page
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`according to an aspect of the present invention;
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`Fig. 12 is a front view of a specific embodiment of the sensor device shown in Fig. 1;
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`Fig. 13 is a back View of a specific embodiment of the sensor device shown in Fig. 1;
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`Fig. 14 is a side View of a specific embodiment of the sensor device shown in Fig. 1;
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`Fig. 15 is a bottom View of a specific embodiment of the sensor device shown in Fig.
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`Figs. 16 and 17 are front perspective views of a specific embodiment of the sensor
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`device shown in Fig. 1;
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`Fig. 18 is an exploded side perspective view of a specific embodiment of the sensor
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`device shown in Fig. 1;
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`Fig. 19 is a side view of the sensor device shown in Figs. 12 through 18 inserted into
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`a battery recharger unit; and
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`Fig. 20 is a block diagram illustrating all of the components either mounted on or
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`coupled to the printed circuit board forming a part of the sensor device shown in Figs. 12
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`through 18.
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`DESCRIPTION OF THE PREFERRED EMBODIMENTS
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`In general, according to the present invention, data relating to the physiological state, the
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`lifestyle and certain contextual parameters of an individual is collected and transmitted, either
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`subsequently or in real-time, to a site, preferably remote from the individual, where it is stored for
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`later manipulation and presentation to a recipient, preferably over an_electronic network such as the
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`Internet. Contextual parameters as used herein means parameters relating to the environment,
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`surroundings and location of the individual, including, but not limited to, air quality, sound quality,
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`ambient temperature, global positioning and the like. Referring to Fig.1, located at user location 5 is
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`sensor device 10 adapted to be placed in proximity with at least a portion ofthe human body. Sensor
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`device 10 is preferably worn by an individual user on his or her body, for example as part of a
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`garment such as a form fitting shirt, or as part of an arm band or the like. Sensor device 10, includes
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`one or more sensors, which are adapted to generate signals in response to physiological
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`characteristics of an individual, and a microprocessor. Proximity as used herein means that the
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`sensors of sensor device 10 are separated from the individual’s body by a material or the like, or a
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`distance such that the capabilities of the sensors are not impeded.
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`Sensor device 10 generates data indicative of various physiological parameters of an
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`individual, such as the individual’s heart rate, pulse rate, beat-to-beat heart variability, EKG or ECG,
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`respiration rate, skin temperature, core body temperature, heat flow off the body, galvanic skin
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`response or GSR, EMG, EEG, EOG, blood pressure, body fat, hydration level, activity level, oxygen
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`consumption, glucose or blood sugar level, body position, pressure on muscles or bones, and UV
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`radiation exposure and absorption. In certain cases, the data indicative of the various physiological
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`parameters is the signal or signals themselves generated by the one or more sensors and in certain
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`other cases the data is calculated by the microprocessor based on the signal or signals generated by
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`the one or more sensors. Methods for generating data indicative of various physiological parameters
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`and sensors to be used therefor are well known. Table 1 provides several examples of such well
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`known methods and shows the parameter in question, the method used, the sensor device used, and
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`12 of 987
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`the signal that is generated. Table 1 also provides an indication as to whether further processing
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`based on the generated signal is required to generate the data.
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`Table 1
`
`
`Parameter
`
`
`
`Method
`
`
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`
`
`BVP
`'
`
`
`Sensor
`zfiiwrodes
`
`
`
`LED Emitter and
`
`
`Optical Sensor
`
`
`
`
`
`
`Signal
`Dcvoltage
`
`
`
`Change in Resistance
`
`
`
`
`
`
`
`
`
`
`Pulse Rate
`
`
`
`Beat-to-Beat
`
`Variability
`
`
`
`EKG
`
`
`
`
`
`Heart Rate
`
`
`2 Electrodes
`
`
`
`'
`
`
`DC Voltage
`
`
`
`
`Skin Surface
`Potentials
`
`
`
`
`
`3-10 Electrodes
`
`
`
`
`DC Voltage
`
`
`
`
`Respiration Rate
`‘
`
`
`
`
`Chest Volume
`
`Change
`
`
`
`
`Skin Temperature
`
`
`
`
`Surface
`Temperature
`Probe
`
`
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`
`
`Strain Gauge
`
`
`
`
`
`Change in Resistance
`
`
`
`Thermistors
`
`
`
`
`
`Change in Resistance
`
`
`
`Further
`
`
`Processing
`
`
`
`es
`
`es
`
`Y
`
`es
`
`Y
`
`
`
`
`
`
`
`No
`
`
`
`es
`
`Y
`
`
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`
`
`es
`
`Y
`
`
`Core Temperature
`
`
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`
`
`Heat Flow
`
`
`Galvanic Skin
`
`Response
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`
`
`Esophageal or
`Rectal Probe
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`Skin Conductance
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`EMG
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`EEG
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`EOG
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`Skin Surface
`Potentials
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`Skin Surface
`Potentials
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`Eye Movement
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`Blood Pressure
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`
`Body Fat
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`
`
`Activity in
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`Interpreted G
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`
`Shocks per Minute
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`
`
`Non-Invasive
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`Korotkuff Sounds
`Body Impedance
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`
`Body Movement
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`Thermistors
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`
`Change in Resistance
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`Thermopile
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`2 Electrodes
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`
`
`es
`Y
`DC Voltage —
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`
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`No
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`Change in Resistance
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`No
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`Yes
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`Yes
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`Change in Resistance
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`Yes
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`Change in Impedance
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`DC Voltage,
`
`Capacitance Changes
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`Yes
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`3 Electrodes
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`DC Voltage
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`Multiple Electrodes
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`DC Voltage
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`DC Voltage
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`
`Thin Film
`Piezoelectric
`Sensors
`
`
`
`
`
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`Electronic
`
`Sphygromarometer
`2 Active Electrodes
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`
`
`Accelerometer
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`13 of 987
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`Parameter
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`Oxygen
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`_ Method
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`Sensor
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`Oxygen Uptake
`
`
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`Electro chemical
`
`.
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`Glucose Level
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`Non-Invasive
`
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`Electro-chemical
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`Body Position (e. g.
`
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`supine, erect,
`.
`
`sitting)
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`Muscle Pressure
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`
`UV Radiation
`
`Absorption
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`
`
`Mercury Switch
`
`Array
`
`
`
`
`
`Thin Film
`Piezoelectric
`Sensors
`
`
`
`
`
`
`
`UV Sensitive Photo
`
`Cells
`
`
`
`
`
`Further
`
`
`Processing
`
`
`
`
`
`DC Voltage Change
`
`
`
`
`
`
`
`DC Voltage Change
`
`
`
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`
`DC Voltage Change
`
`
`
`
`
`DC Voltage Change
`
`
`
`
`
`
`
`
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`
`
`DC Voltage Change
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`
`
`Yes
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`The types of data listed in Table 1 are intended to be examples of the types of data that can
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`be generated by sensor device 10. It is to be understood that other types of data relating to other
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`parameters can be generated by sensor device 10 without departing from the scope of the present
`
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`invention.
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`The microprocessor of sensor device 10 may be programmed to summarize and analyze the
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`data. For example, the microprocessor can be programmed to calculate an average, minimum or
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`maximum heart rate or respiration rate over a defined period of time, such as ten minutes. Sensor
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`device 10 may be able to derive information relating to an individual’s physiological state based on
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`the data indicative of one or more physiological parameters. The microprocessor of sensor device 10
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`is programmed to derive such information using known methods based on the data indicative of one
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`or more physiological parameters. Table 2 provides examples of the type of information that can be
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`derived, and indicates some of the types of data that can be used therefor.
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`Table 2
`
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`14 of 987
`
`

`
`Derived Information
`
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`
`Sleep onset/wake
`
`
`
`
`Calories burned
`
`
`
`
`
`
`Basal metabolic rate
`
`
`Basal temperature
`
`
`
`
`Activity level
`
`
`
`
`Stress level
`
`
`
`
`Relaxation level
`
`
`
`'
`
`Data Used
`
`
`
`
`
`
`
`Skin temperature, core temperature, oxygen consumption
`
`
`
`
`
`
`
`
`
`
`Beat-to-beat variability, heart rate, pulse rate, respiration
`,
`I‘llf'V I*I‘/‘1 I"(\(5 I I, .
`,
`,I,‘,
`I
`
`
`
`
`
`
`
`rate, skin temperature, core temperature, heat flow, galvanic
`skin respurrse, nrvru, r:.r:.u, nuu, urouu pressure, oxygen
`
`
`
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`
`
`consumption
`
`
`
`
`
`
`
`
`
`
`
`Heart rate, pulse rate, respiration rate, heat flow, activity,
`
`
`oxygen consumption
`
`
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`
`
`
`
`
`Heart rate, pulse rate, respiration rate, heat flow, activity,
`
`
`oxygen consumption
`
`
`
`
`
`
`
`
`Skin temperature, core temperature
`
`
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`
`
`
`
`
`
`
`
`Heart rate, pulse rate, respiration rate, heat flow, activity,
`
`
`oxygen consumption
`
`
`
`
`
`
`
`
`
`
`EKG, beat-to-beat variability, heart rate, pulse rate,
`
`
`
`
`
`
`
`respiration rate, skin temperature, heat flow, galvanic skin
`
`
`
`
`
`
`
`response, EMG, EEG, blood pressure, activity, oxygen
`
`consumption
`-
`V
`'
`'
`
`
`
`
`
`
`
`
`
`
`EKG, beat-to-beat variability, heart rate, pulse rate,
`
`
`
`
`
`
`
`respiration rate, skin temperature, heat flow, galvanic skin
`
`
`
`
`
`
`
`response, EMG, EEG, blood pressure, activity, oxygen
`
`consumption
`
`
`
`
`
`
`Maximum oxygen consumption rate
`
`
`
`
`
`
`
`
`
`
`
`
`EKG, heart rate, pulse rate, respiration rate, heat flow, blood
`
`
`
`
`pressure, activity, oxygen consumption
`
`
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`
`
`
`
`
`
`
`
`
`Rise time or the time it takes to rise from
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`
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`
`
`a resting rate to 85% of a target maximum
`
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`
`
`
`Time in zone or the time heart rate was
`
`
`
`
`
`above 85% of a target maximum
`
`
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`
`
`
`
`
`
`
`
`Recovery time or the time it takes heart
`
`
`
`
`
`
`
`
`
`rate to return to a resting rate after heart
`
`
`
`
`
`
`rate was above 85% ofa target maximum
`
`
`
`
`
`
`
`
`
`
`Heart rate, pulse rate, heat flow, oxygen consumption
`
`
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`
`
`
`
`
`
`
`Heart rate, pulse rate, heat flow, oxygen consumption
`
`
`
`
`
`
`
`
`
`
`Heart rate, pulse rate, heat flow, oxygen co

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