Various embodiments described herein relate to a method and related wearable device and non-transitory machine-readable medium including receiving sensor data from at least one sensor of the wearable device; comparing the sensor data to schedule format stored in a memory of the wearable device, wherein the schedule format specifies at least one characteristic of sensor readings previously associated with a predefined context; determining that the received sensor data matches the schedule format; determining, based on the received sensor data matching the schedule format, that the user is currently in the predefined context; identifying an action associated with the predefined context; and executing the action while the user is in the predefined con text.

Exemplary embodiments of wearable stretch sensors and applications of using the same are disclosed. In embodiments, the sensors and the applications disclosed herein can be used to capture spinal motion and posture information.

An analyzing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to calculate a tissue characteristic parameter value with respect to each of a plurality of positions within a region of interest, by analyzing a result of a scan performed on a patient. The processing circuitry is configured to determine a measurement region in the region of interest by performing an analysis while using the tissue characteristic parameter values. The processing circuitry is configured to calculate a statistic value of the tissue characteristic parameter values in the measurement region.

A tissue treatment system and method of using the tissue treatment system determines a size of a body lumen, or a neuromodulation parameter corresponding to the size of the body lumen. The tissue treatment system fills a balloon with a fluid when the balloon is within a body lumen. A fluid parameter of the fluid is detected over a period of time. A parameter curve of the fluid parameter is determined. The parameter curve includes the fluid parameter versus an independent variable over the period of time. The system compares the parameter curve of the fluid parameter to a reference curve and, based on the comparison, determine the body lumen size or the neuromodulation parameter. Other embodiments are also described and claimed.

The present invention discloses a method for determining a maximum value of a heart activity parameter of a user performing a physical activity. Acquire first heart activity data in a first duration of the physical activity performed by the user. Acquire motion data in the first duration of the physical activity performed by the user. Calculate second heart activity data based on the motion data in the first duration of the physical activity performed by the user by a mathematical model and estimate the maximum value of the heart activity parameter of the user based on a comparison between the first heart activity data and the second heart activity data.

A modular, wearable sensor and drug administration device is disclosed. The device includes removable modules such as sensors and drug administration apparatuses within a single wearable device. The device may be comfortable and modules may be easily removed and replaced. The sensors and drug administration devices may be used in concert to monitor and administer drug to a patient. Such a device may improve a patient's quality of life.

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

The invention provides a system and method for determining a respiratory effort for a subject. The method comprises obtaining a relaxed signal representing a subject breathing in a relaxed manner and a forced signal representing a subject breathing in a forced manner. The relaxed signal is then smoothed over a first averaging window and the forced signal is smoothed over a second averaging window, wherein the first averaging window is longer than the second averaging window. Based on the smoothed relaxed signal and the smoothed forced signal, a respiratory effort can thus be determined.

Access is provided to certain pulse oximetry systems utilizing a keyed sensor and a corresponding locked sensor port of a restricted access monitor. In such systems, the keyed sensor has a key comprising a memory element, and the monitor has a memory reader associated with the sensor port. The monitor is configured to function only when the key is in communications with the locked sensor port, and the memory reader is able to retrieve predetermined data from the memory element. The monitor is accessed by providing the key separate from the keyed sensor, integrating the key into an adapter cable, and connecting the adapter cable between the sensor port and an unkeyed sensor so that the monitor functions with the unkeyed sensor.

An electronic system for bioimpedance signal acquisition, comprises: a current signal injection module configured for generating a current signal to be applied to a subject; a bioimpedance signal measurement module configured for measuring a bioimpedance signal based on a voltage generated by the current signal; a data quality detection module configured for detecting an AC or a DC level of the measured bioimpedance signal and detecting whether the AC or DC level is within or outside an AC reference value range and a DC reference value range, respectively; and a signal adaptation module configured for modifying at least one parameter of the current signal injection module or the bioimpedance signal measurement module based on said detection of the AC or DC level in relation to the AC reference value range and the DC reference value range, respectively.