A61B2562/06

Sensor, system and method for measuring and tracking impacts sustained by wearer
09717457 · 2017-08-01 ·

In an aspect, an accessory for an activity is provided, and includes an accessory housing, an impact detection device and a secondary module. The impact detection device includes at least one impact sensor selected from the group of sensors comprising an accelerometer and a gyroscope. The secondary module includes at least a battery configured for powering both the impact detection device and the secondary module. The impact detection device and secondary module together further include a microcontroller and a memory. The impact detection device is removably connectable to the secondary module and is connectable to another secondary module in another protective accessory.

CONTACTLESS COUGH DETECTION AND ATTRIBUTION

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

SMART MASK WITH PRINTED ELECTRONICS
20220047009 · 2022-02-17 ·

A facial mask configured to be worn by a user includes a mask substrate, a temperature and respiration rate sensor for monitoring the temperature and breathing rate of the user, a humidity sensor for monitoring the humidity of the breath of the user, and a cough sensor for monitoring the cough rate of the user. The sensors may be printed onto a sensor array substrate, which is then secured to the mask substrate. The sensors provide real-time monitoring of the temperature, the breathing rate, the humidity, and the cough rate of the user.

DEVICES AND METHODS FOR USE WITH PHYSIOLOGICAL MONITORING GARMENTS

A wearable garment including a sensor management system (SMS) network allowing scalable numbers of sensors for communication with a wearable phone. Methods of using the SMS networks are also disclosed.

Apparatus for Minimally-Invasive Prevention and Treatment of Hydrocephalus and Method for Use of Same
20220040459 · 2022-02-10 ·

An apparatus for minimally-invasive, including non-invasive, prevention and/or treatment of hydrocephalus and method for use of the same are disclosed. In one embodiment of the apparatus, a housing is sized for superjacent contact with a skull having a fontanel. Within the housing, a compartment includes a pressure applicator, such as a fluid-filled bladder, under the control of a pressure regulator. The pressure applicator is configured to selectively apply an external pressure to the fontanel. The compartment includes a pressure sensor configured to measure intracranial pulse pressure of the fontanel. Further, in one embodiment, the apparatus can cause pulse pressure modulation by adjusting the intracranial pulse pressure via the pressure applicator. This enables a non-invasive measurement of the pulse pressure and modulation thereof in infants, for example.

WEARABLE ELECTRONIC DEVICE AND SYSTEM FOR TRACKING LOCATION AND IDENTIFYING CHANGES IN SALIENT INDICATORS OF PATIENT HEALTH

A wearable electronic device, a system and methods of monitoring with a wearable electronic device. The device includes a hybrid wireless communication module with wireless communication sub-modules to selectively acquire location data from both indoor and outdoor sources, as well as a wireless communication sub-module to selectively transmit an LPWAN signal to provide location information based on the acquired data. The device may also include one or more sensors to collect one or more of environmental data, activity data and physiological data. The device may transmit some or all of its acquired data to a larger system, including a cloud-based server to, in addition to providing location-based data, be used as a part of a predictive health care protocol to correlate changes in acquired data to salient indicators of the health of a wearer of the device. In one form, the predictive health care protocol uses a machine learning model.

OCCLUDER WITH SELF-POWERED SENSORS
20210401418 · 2021-12-30 ·

Disclosed herein are left atrial appendage (LAA) occluders that include self-powered physiological sensors to monitor physiological parameters of a subject. The sensors can be powered by harvesting energy generated by the patient's body or using wireless power delivery technologies. The disclosed devices can be used to close the LAA and to provide self-powering sensors to wirelessly monitor physiological parameters such as heart rate, pressure, temperature, size of the atrium, and levels of biomarkers such as C-reactive protein (CRP) and B-type natriuretic peptide (BNP) (e.g., using biosensors). In addition to addressing the stroke risk for patients with non-valvular atrial fibrillation, the disclosed devices offer post-surgical connected care that can reduce hospital readmissions, provide superior medical management, and improve patient quality of life.

SENSOR DEVICE FOR POTENTIAL AND IMPEDANCE MEASUREMENTS
20210401317 · 2021-12-30 ·

A sensor device for potential and/or impedance measurements on a body of a user, including a central electronic unit and at least a first sensor and a second sensor. Each sensor is connected to the central electronic unit by a one-wire connector. Each sensor includes a current electrode and a potential electrode destined to be in contact with a surface of the body. The master includes a master current source configured to circulate a master current in the one-wire connector, the current electrode of the at least first and second sensors and the body, when the sensors are in contact with a surface of the body. Each sensor includes a harvesting device configured to harvest energy from the circulating master current in a powering frequency band.

GLUCOSE SENSOR SYSTEM

Methods and systems for sensor calibration and sensor glucose (SG) fusion are used advantageously to improve the accuracy and reliability of orthogonally redundant glucose sensor devices, which may include optical and electrochemical glucose sensors. Calibration for both sensors may be achieved via fixed-offset and/or dynamic regression methodologies, depending, e.g., on sensor stability and Isig-Ratio pair correlation. For SG fusion, respective integrity checks may be performed for SG values from the optical and electrochemical sensors, and the SG values calibrated if the integrity checks are passed. Integrity checks may include checking for sensitivity loss, noise, and drift. If the integrity checks are failed, in-line sensor mapping between the electrochemical and optical sensors may be performed prior to calibration. The electrochemical and optical SG values may be weighted (as a function of the respective sensor's overall reliability index (RI)) and the weighted SGs combined to obtain a single, fused SG value.

SIGNAL ACQUISITION SENSOR ARRAY, ELECTRONIC DEVICE, AND MATTRESS

A signal acquisition sensor array, an electronic device, and a mattress. The sensor array includes: a connection layer, at least two types of sensor units, a signal acquisition circuit, and a signal line electrically connecting the sensor units with the signal acquisition circuit, where each of the sensor units includes: a first vibration-proof substrate, and a sensor element in one-to-one correspondence with the first vibration-proof substrate and is disposed between the first vibration-proof substrate and the connection layer; and the at least two types of sensor units are arranged in an array at intervals on the connection layer. The solution enables different physiological signals having widely different signal amplitudes to be all accurately detected by the sensor array.