摘要:
The present invention relates generally to the field of health measurement systems and methods. More specifically, the invention relates to a health measurement system that measures various aspects of an individual's personal health and wellness. The health measurement system can include a body scale that measures a user's body weight and body mass index or body fat percentage. This information can be transmitted across a wireless communications link to a network device that processes the information and provides the user with analytics, advice, encouragement, or other such information via a website or mobile application
摘要:
A method of deriving one or more individual thoracic parameters of a subject. The method comprises instructing a subject to perform a thoracic volume manipulation, receiving a plurality of measurements of a plurality of EM signals from a thoracic intrabody area of lungs of the subject during the thoracic volume manipulation, deriving a plurality of thoracic volume values at a plurality of different intervals during the thoracic volume manipulation so that each the thoracic volume value correspond with another of a plurality of estimated thoracic volumes achieved during the thoracic volume manipulation, and calculating at least one individual thoracic parameter of the subject by combining between the plurality of measurements and the plurality of thoracic volume values.
摘要:
A method of determining a measure of lean tissue mass for a segment of a subject, the method including, in a processing system, determining at least one impedance value at at least one frequency, the at least one impedance value representing the impedance of the segment, determining a tissue mass impedance parameter value using the at least one impedance value and determining a tissue mass indicator based at least in part on the tissue mass impedance parameter value.
摘要:
A method and system for determining normalized metrics for visceral adipose tissue (VAT) mass and volume estimation. The normalized metrics including a VAT average cross-section determined by dividing a VAT volume by a height of the abdominal region of interest, and a VAT linear mass density determined by dividing the VAT mass by a height of an abdominal region of interest.
摘要:
An apparatus (300, 400, 500) comprising a magnetic resonance imaging system(302), the magnetic resonance imaging system comprising: a magnet (306) adapted for generating a magnetic field for orientating the magnetic spins of nuclei of a subject (310) located within an imaging volume (308); a radio frequency transceiver (320) adapted for acquiring magnetic resonance data (346) using a radio frequency coil (318); a computer system(336) comprising a processor (338), wherein the computer system is adapted for controlling the apparatus; and a memory (342, 344) containing machine readable instructions (354, 356, 358, 360, 362), wherein execution of the instructions cause the processor to perform the steps of: acquiring (100, 204) magnetic resonance data using the magnetic resonance imaging system, wherein the magnetic resonance data comprises transverse relaxometry data, and calculating (102, 206) the temperature of the subject within a temperature measurement volume (332) in accordance with the transverse relaxometry data.
摘要:
Methods and apparatus combine patient measurement data with demographic or physiological data of the patient to determine an output that can be used to diagnose and treat the patient. A customized output can be determined based the demographics of the patient, physiological data of the patient, and data of a population of patients. In another aspect, patient measurement data is used to predict an impending cardiac event, such as acute decompensated heart failure. At least one personalized value is determined for the patient, and a patient event prediction output is generated based at least in part on the personalized value and the measurement data. For example, bioimpedance data may be used to establish a baseline impedance specific to the patient, and the patient event prediction output generated based in part on the relationship of ongoing impedance measurements to the baseline impedance. Multivariate prediction models may enhance prediction accuracy.