SYSTEM FOR MONITORING AND PRESENTING HEALTH, WELLNESS,NUTRITION AND FITNESS DATA WITH FEEDBACK AND COACHING ENGINE

• US 20140221785A1
• Filed: 04/09/2014
• Published: 08/07/2014
• Est. Priority Date: 06/16/2000
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: BodyMedia Incorporated (AliphCom Corp.)
• Inventors: Pacione, Christopher, Menke, Steve, Andre, David, Teller, Eric, Safier, Scott, Pelletier, Raymond, Handel, Mark, Farringdon, Jonathan, Hsiung, Eric, Vishnubhatla, Suresh, Hanlon, James, Stivoric, John M., Spruce, Neal, Shassberger, Steve
• Application Number:
  US14/248,776
• Publication Number:
  US 20140221785A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 : Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6802 : Sensor mounted on worn items
• CPC Class Codes: A61B 5/6824 : Arm or wrist
• CPC Class Codes: A61B 5/6831 : Straps, bands or harnesses
• CPC Class Codes: A61B 5/7225 : Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7246 : using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7275 : Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7278 : Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 : Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/7289 : Retrospective gating, i.e. associating measured signals or images with a physiological event after the actual measurement or image acquisition, e.g. by simultaneously recording an additional physiological signal during the measurement or image acquisition
• CPC Class Codes: A61B 5/7405 : using sound
• CPC Class Codes: A61B 5/742 : using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7425 : Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image geometric transforms for image registration G06T3/14; enhancement using image fusion G06T5/50; algorithms for registration of images G06T7/30
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7455 : characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G06F 2218/00 : Aspects of pattern recognition specially adapted for signal processing
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G09B 19/00 : Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 19/0092 : Nutrition
• CPC Class Codes: G09B 5/02 : with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 : relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

A nutrition and activity management system is disclosed that monitors energy expenditure of an individual through the use of a body-mounted sensing apparatus. The apparatus is particularly adapted for continuous wear. The system is also adaptable or applicable to measuring a number of other physiological parameters and reporting the same and derivations of such parameters. A weight management embodiment is directed to achieving an optimum or preselected energy balance between calories consumed and energy expended by the user. An adaptable computerized nutritional tracking system is utilized to obtain data regarding food consumed, Relevant and predictive feedback is provided to the user regarding the mutual effect of the user'"'"'s energy expenditure, food consumption and other measured or derived or manually input physiological contextual parameters upon progress toward said goal.

Claims

1-278. -278. (canceled)

279. A system comprising:

one or more sensors disposed in a wearable computing device;

a processor in electronic communication with said one or more sensors, said processor;

obtaining detected data from said one or more sensors, said detected data being indicative of said one or more health-related characteristics of said user;

obtaining detected data from at least one other of said wearable devices associated with at least one other user, said detected data being indicative of said one or more health-related characteristics of said at least one other user;

deriving said one or more analytical indicators of said user relating to said health-related characteristics of said user from said detected data associated with said user;

deriving a current assessment of said user'"'"'s state, based upon said detected data;

generating a graphical representation of at least one of said one or more analytical indicators of said user; and

generating at least one visual indication of at least one of a suggested nutrition modification for said user based upon said detected data of said user and said detected data of said at least one other user; and

a display device in electronic communication with said processor, said display device displaying;

(i) at least one of said analytical indicators of said user;

(ii) at least one indicator of the current status of the user with respect to at least one aspect of said detected data; and

(iii) said at least one visual indication of at least one of a suggested nutrition modification for said user based upon said detected data of said user and said detected data of said at least one other user.

280. The system of claim 279, further comprising said processor receiving data indicative of at least one of baseline data and initial goals of a user based on one or more health-related characteristics of said user, said at least one of baseline data and initial goals further comprising one or more analytical parameters of said user.

281. The system of claim 280, wherein said derivation of said current assessment of said user'"'"'s state is additionally based upon said at least one of baseline data and initial goals based on one or more health-related characteristics of said user.

282. The system of claim 280, wherein said at least one visual indication of at least one of a suggested nutrition modification for said user is additionally based upon said at least one of baseline data and initial goals based on one or more health-related characteristics of said user.

283. The system of claim 279, further comprising a user input device in electronic communication with said processor, said user input device receiving and relaying, to said processor, user selections for display parameters for said detected data and said one or more analytical indicators, the selection of said display parameters determining the composition of the display of said at least one analytical indicator correlated with the values of said detected data on said display device.

284. The system of claim 279, wherein said at least one analytical indicator is selected from the group consisting of:

sleep, activity level, nutrition, mind centering and a subjective evaluation, by said user, of at least one of said user'"'"'s physical or psychological condition.

285. The system of claim 284, wherein said at least one analytical indicator relates to nutrition and the value of said parameter further comprises caloric intake.

286. The system of claim 285, wherein said at least one analytical indicator relates to activity level and the value of said parameter further comprises calories burned.

287. The system of claim 279, wherein at least one of said display device and said processor is mounted on said wearable computing device.

288. The system of claim 279, wherein said processor generates at least one of a contemporaneous visible, audible or tactile indication of a preselected user condition.

289. The system of claim 288, wherein said contemporaneous indication is generated based upon the contemporaneous value of at least one of said detected data and said at least one analytical indicator.

290. The system of claim 279, wherein said detected data associated with said user and said detected data associated with at least one other user are utilized by said processor to derive patterns in said user'"'"'s health-related characteristics.

291. The system of claim 290, wherein said derived patterns in said user'"'"'s health related characteristics are utilized by said processor to derive said one or more analytical indicators of said user relating to said health-related characteristics of said user from said detected data.

292. The system of claim 290, wherein said processor utilizes said derived patterns in said user'"'"'s health-related characteristics to generate at least one of a suggested nutrition modification to be displayed to the user.

293. The system of claim 292, wherein said processor generates a suggestion for transmission to said user for improving said user'"'"'s progress with respect to said initial goal based upon said at least one historical record and prior ones of said suggestions for transmission to said user for improving said user'"'"'s progress with respect to said initial goal.

294. The system of claim 283, wherein said user-selectable display parameters are selected from the group consisting of time period, day, date, detected data values, selection of detected data types, analytical indicator values and selection of analytical indicators.

295. The system of claim 294, wherein said user-selectable display parameters are utilized to cause a display of at least one of historical detected data and historical analytical parameters of said user for user-selectable time periods.

296. The system of claim 294, wherein said user-selectable display parameters are utilized to compare at least one of derived data and analytical indicators for a first user-selectable time period and at least one additional user-selectable time period.

297. The system of claim 279, wherein said processor generates queries to said user on said display device, said user responds to said queries utilizing said user input device and said processor derives said one or more analytical indicators from said user responses.

298. The system of claim 297, wherein said processor further generates at least one suggestion on said display device relating to said user'"'"'s progress toward said user'"'"'s initial goals based upon said user responses.

299. The system of claim 279, wherein said processor generates a recommended activity level for said user based upon said analytical indicators.