SYSTEM FOR MONITORING AND MANAGING BODY WEIGHT AND OTHER PHYSIOLOGICAL CONDITIONS INCLUDING ITERATIVE AND PERSONALIZED PLANNING, INTERVENTION AND REPORTING CAPABILITY

• US 20130158368A1
• Filed: 02/07/2013
• Published: 06/20/2013
• 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, Pelletier, Raymond, Handel, Mark, Farringdon, Jonathan, Hsiung, Eric, Vishnubhatla, Suresh, Hanlon, James, Stivoric, John M., Spruce, Neal, Shassberger, Steve, Safier, Scott
• Application Number:
  US13/761,557
• Publication Number:
  US 20130158368A1
• 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 for monitoring and managing body weight comprised of:

a body mounted detection apparatus for detecting data indicative of human status parameters selected from the group consisting of energy expenditure and nutritional parameters of an individual; and

a monitoring unit in communication with said detection apparatus for receiving at least one of (i) manually input and (ii) detected human status parameter data and manipulating said data to provide feedback with respect to the mutual effect of changes in said human status parameters upon each other.

280. A system as described in claim 279, wherein said body mounted detection apparatus comprises at least one sensor for detecting at least one of said human status parameters.

281. A system as described in claim 280, wherein said body mounted detection apparatus is an armband sensor device.

282. A system as described in claim 280, wherein said body mounted detection apparatus further comprises at least one sensor for detecting contextual parameters.

283. A system as described in claim 282, further comprising at least one sensor for detecting additional human status parameters.

284. A system as described in claim 283, wherein said human status parameters, said additional human status parameters and said contextual parameters are utilized to derive data indicative of the nature of an activity of the wearer.

285. A system as described in claim 284, wherein said human status parameters and said data indicative of the nature of the activity of the wearer are correlated by time.

286. A system as described in claim 285, wherein said system provides output data comprising said time correlated human status parameters and said data indicative of the nature of the activity of the wearer.

287. A system as described in claim 280, wherein said at least one sensor further comprises at least one of:

a sensor for measuring GSR including at least two electrical contacts, a skin temperature sensor, an ambient temperature sensor, an accelerometer, an ambient light sensor, an ambient sound sensor, an EMG sensor, an ECG sensor, a heart parameter related sensor, a GPS sensor and a skin impedance sensor.

288. A system as described in claim 280, wherein said human status parameter data includes weight data for said individual.

289. A system as described in claim 288, wherein said weight data is utilized to calculate change in weight of said individual.

290. A system as described in claim 289, wherein said change in weight and detected energy expenditure are utilized to calculate daily caloric intake.

291. A system as described in claim 279, wherein said first human status parameter is daily caloric intake.

292. A system as described in claim 291, wherein said daily caloric intake is manually input.

293. A system as described in claim 292, wherein said daily caloric intake is manually input by the user.

294. A system as described in claim 292, wherein said daily caloric intake is manually input for a user by another individual.

295. A system as described in claim 292, wherein said daily caloric intake is manually input for multiple users by a single person.

296. A system as described in claim 291, further comprising a prepopulated food database, from which food items are selected for the calculation of daily caloric intake.

297. A system as described in claim 296, wherein said database may be amended with custom items.

298. A system as described in claim 296, further comprising a prioritized list of food items from which food items may be selected.

299. A system as described in claim 298, wherein said list of food items is dynamically updated based upon frequency of selection.

300. A system as described in claim 298, wherein said list of frequently consumed items is dynamically updated based upon one of:

time of day, day of week, meal, season, and meal plan.

301. A system as described in claim 298, further comprising a database of menu plans, including suggested foods for consumption.

302. A system as described in claim 279, wherein one of said human status parameters is energy expenditure.

303. A system as described in claim 302, wherein said energy expenditure is manually input.

304. A system as described in claim 303, further comprising a database of activities having an energy expenditure value associated therewith, from which a user may select an appropriate activity.

305. A system as described in claim 279, wherein said system detects energy expenditure as the a human status parameter.

306. A system as described in claim 305, wherein said energy expenditure is detected by a sensor device adapted for mounting on the human body.

307. A system as described in claim 305, wherein energy expenditure is calculated according to the formula:

TEE=BMR+AE+TEF+AT

wherein BMR is basal metabolic rate, AE is activity energy expenditure, TEF is thermic effect of food and AT is adaptive thermogenesis.

308. A system as described in claim 279, further comprising an additional detection device in electronic communication with said system wherein at least one of said human status parameters is obtained from said additional detection device.

309. A system as described in claim 308, wherein said additional detection device further comprises a weight scale.

310. A system as described in claim 279, further comprising a data entry device for manual input of data related to said human status parameters.

311. A system as described in claim 279, further comprising a processor for calculating data indicative of at one of said first and second human status parameters of the user.

312. A system as described in claim 311, wherein said data indicative of at least one of said human status parameters is energy balance.

313. A system as described in claim 279, further comprising a display means for displaying information to a user.

314. A system as described in claim 279, wherein said system is in electronic communication with an external computing device.

315. A system as described in claim 314, wherein said external computing device is in electronic communication through a data information network.

316. A system as described in claim 314, wherein said external computing device is provided with data from said system.

317. A system as described in claim 315, wherein said external computing device is in electronic communication with a plurality of other like systems.

318. A system as described in claim 317, wherein said system and said external computing device exchange data for the purpose of creating databases of aggregate data output from said system.

319. A system as described in claim 317, wherein said system, said external computing device and said other like systems exchange data for the purpose of creating aggregate data output from all of said systems.

320. A system as described in claim 314, wherein said external computing device exchanges data with said system for the purpose of modifying the operation of said system.

321. A system as described in claim 279, further comprising a feedback and coaching engine wherein said feedback and coaching engine analyzes said mutual effect of changes of said human physiological parameters upon each other and provides one of feedback and status information to said individual.

322. A system as described in claim 321, wherein said one of feedback and status information is in the form of suggestions to said individual.

323. A system as described in claim 321, wherein said status information includes said human status parameters.

324. A system as described in claim 321, wherein said feedback and coaching engine provides output which is modified based on at least one of the individual'"'"'s detected human status parameters and said status information.