This disclosure is directed to method and system for automatic, distributed, computer-aided, and intelligent data collection/analytics, health monitoring, health condition identification, and patient preventive/remedial health advocacy. The system integrates (1) distributed patient health data collection devices, (2) centralized or distributed data servers running various intelligent and predictive data analytics engines for health screening, assessment, patient health condition identification, and patient preventive/remedial health advocacy, 3) specifically designed data structures including quantized health indicator vectors, patient health condition identification matrices and patient health condition vectors, (4) portal servers configured to interface with (5) distributed physician terminal devices and (6) distributed patient terminal devices for delivering health condition identification, health interventions and patient preventive/remedial health advocacy, and for monitoring and tracking patient activities. The various intelligent and predictive engines are configured to learn and extract hidden features and correlations from a large amount of data obtained from the distributed data collection devices.

This disclosure is directed to method and system for automatic, distributed, computer-aided, and intelligent data collection/analytics, health monitoring, health condition identification, and patient preventive/remedial health advocacy. The system integrates (1) distributed patient health data collection devices, (2) centralized or distributed data servers running various intelligent and predictive data analytics engines for health screening, assessment, patient health condition identification, and patient preventive/remedial health advocacy, 3) specifically designed data structures including quantized health indicator vectors, patient health condition identification matrices and patient health condition vectors, (4) portal servers configured to interface with (5) distributed physician terminal devices and (6) distributed patient terminal devices for delivering health condition identification, health interventions and patient preventive/remedial health advocacy, and for monitoring and tracking patient activities. The various intelligent and predictive engines are configured to learn and extract hidden features and correlations from a large amount of data obtained from the distributed data collection devices.

The invention provides a device for the mechanical detection of a specific underlying tissue in a subject, comprising a container, wherein the container comprises a probe, spring, sensor, and signal indicator, wherein when a mechanical force is applied to the probe, it is transmitted to the sensor, whereby the sensor provides the signal indicator with a signal and the signal indicator indicates to the user an indication of detection of the specific underlying tissue in the subject. The sensor of the invention can be an electrical sensor such as a piezoelectric force transducer or a balloon. The invention also provides a method of performing a cricothyrotomy using the device.

A method for standardizing diagnosis of medical conditions. The method includes defining first order data to collect for a patient having at least one symptom and providing a computing system for assigning a diagnosis of a medical condition from possible diagnoses corresponding to possible medical conditions. The computing system includes a memory system storing analysis modules that include tissue-pathology characteristics databases for the possible medical conditions corresponding to the possible diagnoses. The method includes receiving in the memory system the first order data for the patient, comparing with the computing system the first order data to the tissue-pathology characteristics databases, and assigning fit scores for each of the possible diagnoses based on the comparison between the first order data and the tissue-pathology characteristics databases. The method includes assigning the diagnosis of the medical condition for the patient based on the fit scores.

The disclosure is directed to a system and methods for dynamic diagnosis of musculoskeletal conditions. The methods include monitoring at least one body part of a subject with at least one sensor, the at least one sensor configured to detect motions of the at least one body part of the subject, the at least one sensor comprising a Micro Electro Mechanical System (MEMS) sensor. The at least one sensor transmits kinematic data to a signature-comparing device. The methods include obtaining composite signatures of the subject based on the kinematic data, the composite signatures comprising at least one motion signature. The methods also include comparing the composite signatures of the subject to a normal composite signature to determine whether a difference between the composite signatures of the subject and the normal composite signatures is larger than a pre-determined threshold.

A toe correction apparatus and a method for manufacturing the same are provided. The toe correction apparatus includes: a first sensor attachable to a first side of a hallux proximate to a second toe for measuring first pressure information between the hallux and the second toe; and a processor, configured to determine a degree to which the hallux bends to the second toe according to the first pressure information, and control an inflation amount or a deflation amount of an adjustable airbag between the hallux and the second toe according to the degree to which the hallux bends to the second toe.

This disclosure is directed to method and system for automatic, distributed, computer-aided, and intelligent data collection/analytics, health monitoring, health condition identification, and patient preventive/remedial health advocacy. The system integrates (1) distributed patient health data collection devices, (2) centralized or distributed data servers running various intelligent and predictive data analytics engines for health screening, assessment, patient health condition identification, and patient preventive/remedial health advocacy, 3) specifically designed data structures including quantized health indicator vectors, patient health condition identification matrices and patient health condition vectors, (4) portal servers configured to interface with (5) distributed physician terminal devices and (6) distributed patient terminal devices for delivering health condition identification, health interventions and patient preventive/remedial health advocacy, and for monitoring and tracking patient activities. The various intelligent and predictive engines are configured to learn and extract hidden features and correlations from a large amount of data obtained from the distributed data collection devices.

The present invention relates to a sensor arrangement comprising a support substrate and at least two microwave antennas fixedly arranged in or on said support substrate, each microwave antenna being separated from all other microwave antennas by a band-stop structure configured to cancel direct coupling between the microwave antennas, said sensor arrangement further comprising microwave signal transmission paths configured to transmit microwave signals to or from said microwave antennas. The invention also relates to a system comprising such a sensor arrangement and a method for non-invasive assessment of a property of subdermal tissue in a subject.

A system for delivering physical therapy to a user includes an active video gaming system that has a motion detector capable of detecting the physical motions of a user. The system includes parameters related to movement restrictions that a user may have and the system creates a gaming environment based on the parameters.

Disclosed are a joint manipulation device and system for increasing the range of motion of a joint of a user, and monitoring the compliance of the user's operation of the joint manipulation device to standards or guidelines set by a monitoring entity. Certain sensors associated with the joint manipulation device may cause an indicator to transmit an alert to the user based on whether or not the device is sufficiently engaged with a limb or joint of the user to be considered in compliance. Additionally, progress data associated with the range of motion of the user's joint may be obtained by a sensor assembly and transmitted to one or more systems associated with the device system. Progress data obtained during a period of non-compliant use of the device may be excluded from the transmitted data, thereby generating a set of compliant progress data for accurate analysis of device effectiveness.