A garment (e.g., a shirt) for monitoring biometric properties of the wearer of the garment is disclosed. The garment may include sensors for monitoring or assessing the vital signs and body position of the wearer. A processor associated with the garment may provide an output indicative of an assessed condition of the wearer based on the assessed vital signs and the assessed body position of the wearer of the fabric. The garment may include an injector assembly that is used to administer a drug injection to the wearer when the assessed condition indicates that the wearer is in an alert condition.

Contemplated systems for monitoring and analysis of human motion synthesis are disclosed herein that include: at least one garment configured to be worn by a user, at least one inertial sensor, wherein the at least one inertial sensor is integrated with or into the at least one garment, an information system, wherein the information system communicates with the at least one inertial sensor to produce a set of data, at least one musculorientation metric generated by the information system, and at least one performance report that is produced from the analysis of the at least one musculorientation metric.

A patient monitor can noninvasively measure a physiological parameter using sensor data from different measurement sites on a patient. The patient monitor can combine all sensor data from different measurement sites into a raw or minimally processed data form to generate a single, robust measurement of the physiological parameter. An optical sensor of a patient monitor can include multiple photodetectors each configured to generate a signal when detecting light attenuated by the patient's tissue. A measurement of a physiological parameter can be determined based on at least in part on the multiple signals from the multiple photodetectors.

A system and method for automatically requesting assistance for a user experiencing a medical emergency is disclosed. The system includes a user device with a sensor to detect sensed information. Based on the sensed information the user device can determine if the user is experiencing a medical emergency. The user device can communicate with nearby devices over one or more networks and send information about the medical emergency to the nearby devices. The information can include the type of medical emergency, the location of the user experiencing the medical emergency, and any instructions for providing the user with assistance.

A monitoring system configured to measure the user's health-related parameters while in a certain state is disclosed. Based on whether the user is in the certain state and/or one or more criteria being met, the monitoring system can perform a physiological measurement such as a blood pressure measurement. The monitoring system can be capable of dynamically adjusting the measurement parameters, criteria, and acquired information based one or more scalers. The criteria can be based on user states or conditions such that user disruptions can be reduced and the measurement accuracy and/or efficiency can be enhanced. The monitoring system can also measure the user's parameters during the measurement and may abort the measurement if the measurement may not have accurate information and/or to reduce any disruption to the user. Alternatively, the measurement can be annotated so that the measurement can be used during data interpretation with certain qualifiers attached.

A method of calibrating a pair of body mounted sensors, the method comprising the steps of: (a) in a baseline position of a joint to be measured, determining a first offset between a measured joint angle and an angle between pair of sensors, one mounted on each side of the joint to be measured, so as to calibrate the sensors; (b) after at least one of the sensors has been removed and reapplied, placing the joint back into the baseline position such that the sensors are in a second configuration relative to each other; and (c) determining a second offset between the measured knee angle and an angle between the pair of sensors in the second configuration in order to recalibrate the sensors such that, in each of the first and second configurations, the same joint angle for the baseline position is reported.

Apparatus and method are provided for synchronized multiple vital health measurements. In one novel aspect, an integrated wearable device with multiple sensors that can collect multiple vital health signals, digitize them, send them through wireless network to a receiver. In one embodiment, the wearable device has a plurality of different types of sensors including at least one or more acoustic-to-electric sensors collecting phonocardiogram (PCG) electrical signal and one or more electrocardiogram (ECG) sensors, a control module includes a synchronization circuitry that synchronizes measurements of the plurality of different types of sensors. In another novel aspect, a system performs a synchronized measurement using a plurality type of health-monitoring sensors, performs a correlation analysis of the plurality of measurement results using selected one or more analytical rules, and obtains a set of parameters with recognized medical values and generating one or more medical health records based on the correlation analysis.

A stimulation probe device including a first electrode, a stimulation module, a control module and a physical layer module. The stimulation module is configured to (i) wirelessly receive a payload signal from a console interface module or a nerve integrity monitoring device, and (ii) supply a voltage or an amount of current to the first electrode to stimulate a nerve or a muscle in a patient. The control module is configured to generate a parameter signal indicating the voltage or the amount of current supplied to the electrode. The physical layer module is configured to (i) upconvert the parameter signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the stimulation probe to the console interface module or the nerve integrity monitoring device.

Data-stream bridging for sensor transitions is described. A first data stream of glucose measurements is received from a first glucose sensor worn by a user. A termination event for the first glucose sensor is detected when production and/or communication of the first glucose measurements via the first data stream ceases. Next, a second data stream of glucose measurements is received from a second glucose sensor worn by the user that replaces the first glucose sensor. During a warmup period for the second glucose sensor, estimated glucose values are output for the user based on both the first data stream of glucose measurements received from the first glucose sensor prior to the termination event and the second data stream of glucose measurements received from the second glucose sensor.

The system and method disclosed utilizes a wearable device to collect data generated pursuant to user's kinesthetic movement. The instant innovation filters and cleans the data, then slices the data into subsets. The subsets are analyzed with a Machine Learning algorithm to identify signal patterns indicative of statistically significant behavioral metrics, and the instant innovation returns insights based in part on relationships between said behavioral metrics. These insights are returned to an observer in the form of a report.