439results about "Humidity sensors" patented technology

A mobile edge computing system, a communication network and a method of using a mobile edge computing device. The mobile edge computing system includes a communication module that establishes signal communication over numerous wireless communication protocols at least one of which uses a low power wide area network protocol. A logic device is made up of a distributed set of processing units including both a central processing unit and one or more processors configured for performing machine learning operations the latter of which include one or more of a graphical processor unit and a tensor processing unit. When the system receives event data that has been acquired by one or more of the communication module and a sensor, the system executes a trained machine learning model and conveys, using the low power wide area network protocol, an output that has been produced by the trained machine learning model.

Methods, systems and apparatuses for infant and child monitoring, for changing pads, and for tracking heath. One system is an intelligent changing pad system for infants and children that includes a main body with a changing surface, a scale integrated within the changing surface for measuring weight, a plurality of sensors configured to monitor health-related metrics of a human including temperature and hydration levels, a graphical user interface for displaying the human's health metrics and alerts, and a wireless communication system for transmitting the monitored data to a remote computing device.

A wearable device consists of a smart band and a display unit. The smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a physiological sensor, a biofluid sensor, a biokinetics sensor, a lifestyle sensor, and a single board computer. The microbial biosensor detects, measures, and monitors microorganisms, and a sterilizer kills pathogens. The particulate matter sensor detects, measures, and monitors a set of suspended particles in the surrounding air. The enviro sensor monitors environmental conditions surrounding the user. The biofluid sensor detects, measures, and monitors biological fluid parameters of the user. The physiological sensor detects, measures, and monitors physiological parameters of the user. The biokinetics sensor detects, measures, and monitors physical activities of the user. The lifestyle sensor detects, measures, and monitors healthy lifestyle activities of the user. The wearable device allows for continuous monitoring of user health for accurate clinical outcomes and wellness programs.

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.

The invention relates to the technical field of saliva flow rate detection, and discloses a saliva flow rate detection device which comprises a main body part, a filter element, a sampling head and a sensor, the main body part is provided with a first end and a first channel, the first channel penetrates through the first end to form a first opening, the filter element is arranged in the first channel, and the sampling head is provided with a second channel; the second channel penetrates through the sampling head, the sampling head is arranged at the first end, the second channel is communicated with the first channel, and the sensor is arranged on the main body part and is suitable for detecting whether saliva infiltrates the to-be-detected area or not. The saliva flow rate measuring device has the beneficial effect that the saliva flow rate measuring precision and efficiency are improved.

Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary infusion device includes an actuation arrangement operable to deliver fluid to a user, a communications interface to receive measurement data indicative of a physiological condition of the user, a sensing arrangement to obtain contextual measurement data, and a control system coupled to the actuation arrangement, the communications interface and the sensing arrangement to determine a command for autonomously operating the actuation arrangement in a manner that is influenced by the measurement data and the contextual measurement data and autonomously operate the actuation arrangement in accordance with the command to deliver the fluid to the user.

A cloud-based computer system for diagnosis of conditions to counteract adverse anatomical or medical effects of unnatural supination of subtalar joints by elevated shoe heels. The system includes smartphones or other mobile computer devices located proximate to a center of gravity of users during locomotion, sensor(s) located in a sole or removable sole insert of footwear of the users; sensor(s) located in the smartphones or mobile computer devices; a connection between the sensors and the smartphones or mobile computer devices to provide data between the sensors and the smartphones or mobile computer devices; and a connection between the smartphones or mobile computer devices and the cloud-based computer system to provide data between the smartphones or mobile computer devices and the cloud-based computer system. The sensors located in the soles or removable sole inserts of the footwear and the smartphones or mobile computer devices include a gyroscope and an accelerometer.

The present invention discloses a non-contact vital signs monitoring system, which is attached to a mattress and includes a non-contact vital signs signal collecting and processing system. The non-contact vital signs signal collecting and processing system includes a BCG signal collecting module, a human body pressure collecting module and a control module. The present invention arranges a piezoelectric ceramic sheet array as a BCG signal collecting module on the mattress, arranges an impedance pressure band as a human body pressure collecting module, and combines with a smart dynamic peak tracking algorithm to extract the user's heart rate data, respiration data, body movement data, bed presence / absence status and abnormal sound data during sleep, so as to comprehensively analyze the user's sleep status. The present invention also operates in a smart ultra-low power operation control mode, and when the pressure data measured by the human body pressure collecting module indicates that the user is not in bed, the non-contact vital signs monitoring system closes most of the electric elements, thereby greatly reducing energy consumption.

A mask apparatus that is configured to prevent airborne pathogens from reaching an individual by actively mitigating airborne droplets that have a pathogen. In one example, the mask apparatus comprises a sensor device, a mitigator device, and a controller. The sensor device comprises an aerosol detector that is configured to perform a light measurement of an airborne aerosol droplet in an area proximate to the wearable apparatus. The mitigator device is configured to initiate a mitigation action directed at the airborne aerosol droplet. The controller is data communication with the sensor device and the mitigator device. The controller is configured to determine that the airborne aerosol droplet has a pathogen based at least in part on the light measurement captured by the sensor device and cause the mitigator device to initiate the mitigation action based on the airborne aerosol droplet having the pathogen.

A program causes a computer to perform processing of: acquiring an endoscopic image obtained by capturing a subject using an endoscope; extracting region-of-interest information from the acquired endoscopic image; acquiring a three-dimensional medical image obtained by capturing an inside of a body of the subject using at least one of X-ray CT, X-ray cone beam CT, MRI-CT, and an ultrasonic diagnostic device; deriving position information in a coordinate system of the three-dimensional medical image specified by the region-of-interest information and the three-dimensional medical image; and storing the region-of-interest information and the three-dimensional medical image in association with each other based on the derived position information and a capturing time point of each of the endoscopic image and the three-dimensional medical image.

A mobile edge computing system, a communication network and a method of using a mobile edge computing device. The mobile edge computing system includes a communication module that establishes signal communication over numerous wireless communication protocols at least one of which uses a low power wide area network protocol. A logic device is made up of a distributed set of processing units including both a central processing unit and one or more processors configured for performing machine learning operations the latter of which include one or more of a graphical processor unit and a tensor processing unit. When the system receives event data that has been acquired by one or more of the communication module and a sensor, the system executes a trained machine learning model and conveys, using the low power wide area network protocol, an output that has been produced by the trained machine learning model.

The present disclosure provides an electronic device. The electronic device includes a flexible element, and a sensing element adjacent to the flexible element and configured to detect a biosignal. The electronic device also includes an active component in the flexible element and electrically connected with the sensing element. A method of manufacturing an electronic device is also disclosed.

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.

The invention relates to the technical field of baby nursing, and provides an obstetrical baby cleaning and nursing system which comprises a sensor module, a cleaning control module, a cleaning execution module and a power management module. The sensor module is used for collecting physiological data such as humidity, temperature, pressure and conductivity of baby skin; the cleaning control module is used for performing data fusion and analysis on the physiological parameters and combining a multi-level judgment mechanism to determine whether cleaning operation needs to be performed or not; the cleaning execution module executes a corresponding cleaning task according to an instruction of the cleaning control module, and it is guaranteed that the cleaning process is completed smoothly; when cleaning is needed, the path planning module is responsible for planning a cleaning path of the cleaning equipment and optimizing the cleaning path by analyzing the distribution condition of humidity and pressure; and the power management module provides stable power support for the whole system to ensure normal operation of each module.

Embodiments include a method of diagnosing gastroparesis or suspected gastroparesis, the method comprising: obtaining data representing a time series of readings from gas sensing apparatus housed within a ingestible capsule device orally ingested by a subjected; processing the readings to detect one or more gastroparesis indicator spikes in the CO2 concentration with respect to time; based on the detected one or more gastroparesis indicator spikes in the CO2 concentration with respect to time, diagnosing gastroparesis or suspected gastroparesis.

A system for monitoring a subject in a physical space, the system including: a plurality of sensors for detecting movements of the subject in the physical space; a data processing system configured to: receive from the sensors signals representing detected movements of the subject in the physical space, process the received signals to determine corresponding movements of the subject in the physical space, and select an action from a plurality of predefined actions, based on the detected movement; and one or more output devices for outputting a prompt based on the selected predefined action for the subject.

Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary method of monitoring a physiological condition of a patient involves obtaining current measurement data for the physiological condition of the patient provided by a sensing arrangement, obtaining a user input indicative of one or more future events associated with the patient, and in response to the user input, determining a prediction of the physiological condition of the patient in the future based at least in part on the current measurement data and the one or more future events using one or more prediction models associated with the patient, and displaying a graphical representation of the prediction on a display device.

Provided are a wireless ultrasound probe and a control method thereof, and in particular, a wireless ultrasound probe and a control method thereof, the wireless ultrasound probe including a battery circuit, a switching circuit, a pulse circuit, a transducer, a capacitor, and a discharge module, wherein the switching circuit is configured to generate a high voltage used by the pulse circuit to output a transmission signal and store the high voltage in the capacitor, and the discharge module is configured to detect whether a first event has occurred that causes damage to the wireless ultrasound probe due to the high voltage stored in the capacitor, and in response to detecting the first event, start a discharge operation for discharging the high voltage stored in the capacitor.

A system for monitoring neural activity of a living subject is provided. The system may comprise a correspondence module configured to be in communication with (1) a neural module and (2) one or more additional modules comprising a sensing module, another neural module, and / or a data storage module. The neural module(s) are configured to collect neural data indicative of perceptions experienced by the living subject. The sensing module may be configured to collect (1) sensor data indicative of real-world information about an environment around the living subject, and / or (2) sensor data indicative of a physical state or physiological state of the living subject. The data storage module may be configured to store prior neural data and / or prior sensor data. The correspondence module may be configured to measure a correspondence (a) between the neural data collected by the neural module(s) and the sensor data collected by the sensing module, (b) between the neural data collected by two or more neural modules, and / or (c) between the neural data collected by the neural module(s) and the prior data stored in data storage module. The measured correspondence can be used to determine a presence, absence, or extent of a potential cognitive or physiological disturbance of the living subject.

Embodiments may relate to an intelligent patient monitoring system, which may include a weight support device, a computer, and a display. The weight support device supports a patient and includes a sensor grid layer with a plurality of sensors to measure pressure data. The computer predicts a pressure injury outcome and / or a fall outcome based on the pressure data. The pressure injury outcome includes a prediction of risk of the patient developing a pressure injury. The fall outcome includes a prediction of risk of the patient experiencing a fall. The computer may utilize a machine learning model to determine either or both outcomes. The display presents a notification generated based on the pressure injury outcome or fall outcome. The notification indicates that an adjustment of a positioning of the patient is needed to aid in the prevention of the pressure injury or the fall.

The application discloses a wearable urinary incontinence monitoring system based on multi-modal sensor fusion and relates to the technical field of urinary incontinence monitoring, and solves the problems that the existing urinary incontinence monitoring cannot be carried out in daily life and has poor monitoring precision, and the scheme points comprise a sensing diaper, a signal acquisition front end, a user mobile terminal and a cloud management platform; the sensing diaper is used for collecting user urine leakage signals through a sensor; the signal acquisition front end is used for collecting user activity signals through the sensor, pre-processing the user urine leakage signals and the user activity signals to obtain user data and forwarding; the user mobile terminal is used for carrying out urine leakage frequency monitoring and user behavior activity monitoring through the user data to obtain a monitoring report, and uploading the monitoring report and the user data to the cloud management platform; the cloud management platform is used for establishing an electronic case through the monitoring report and the user data, and delivering analysis results to the user mobile terminal; and the monitoring precision can be improved through temperature data and pH data.

The invention discloses an implantable dynamic pressure sensor system and a preparation method thereof, and belongs to the field of medical instrument and sensor cross fusion. In the system, a packaging shell is used for accommodating a pressure sensing unit and a temperature sensing unit which are integrated on a Si substrate, the packaging shell comprises a groove gap, and a sensing end of the pressure sensing unit is opposite to the groove gap; one end of the pressure sensing unit is connected with one end of the temperature sensing unit, the other end of the pressure sensing unit and the other end of the temperature sensing unit are respectively connected with a positive input end and a negative input end of the detection circuit unit, and the temperature sensing unit performs temperature compensation on the pressure sensing unit; and the Si substrate at the position of the pressure sensing unit is thinned to a preset thickness. According to the invention, the miniaturization design of the sensing unit is realized, the sensitivity of the sensor is improved, and the detection requirement in a complex environment is met.

Garments or footwear with active temperature control include one or more heating or cooling elements, one or more batteries, and one or more power receivers. Circuitry of the garment of footwear is configured to control the delivery of power to the one or more heating or cooling elements to heat or cool one or more portions of the garment associated with the one or more heating or cooling elements.

Provided herein are smart functional fabrics and therapeutic / diagnostic garments which utilize flexible wireless electronic devices to enhance functionality, for example, by measuring key therapy parameters and providing data to clinicians, and methods utilizing such devices. The provided methods are designed to avoid patient discomfort and decrease harm or irritation caused by garments which utilize bulkier, more rigid sensors. Additionally, the described devices are multiplexed to allow for sensing of multiple parameters of therapeutic interest and combinations of measured data for new clinical metrics.

Systems and methods for patient monitoring and repositioning are provided. The system includes a mattress with a cell array and a base board array to receive the cell array. The cell array includes a plurality of individually height- adjustable cells each having sensor surface configured to sense at least one biomarker of the patient while lying on the mattress. The system also includes a main unit in communication with each cell of the cell array through the base board array. The main unit is configured to receive data from each of the cells, including measurements of the at least one biomarker, and independently control a height of each of the cells.

A head-mounted display system includes a head-mounted display unit a display that, in use, is held in an operational position over a user's face. The head-mounted display system further comprises a flow generator configured to generate a flow of air, and an air guide arrangement coupled to the flow generator to enable the flow generator to direct air to, or draw air from, one or more selected areas in proximity of the head-mounted display system.

The present invention relates to an access management system that determines whether to approve a user's authentication request for a management space based on biometric data measured by multiple smart wearable devices. The system includes a smart mask with a temperature sensor, a fan system for air circulation, and an external indicator for fan status, as well as a wireless headset with an additional temperature sensor. The management server verifies authentication conditions using biometric data and public database authentication data. The fan system dynamically adjusts airflow based on the user's biometric and environmental data, while the external indicator provides real-time feedback. The system enhances accuracy by incorporating body temperature correction from the wireless headset and calculating a comprehensive health score. By eliminating manual QR code scanning and improving body temperature measurement accuracy, the invention enhances authentication efficiency, user convenience, and access security while enabling continuous biometric monitoring.

The invention relates to devices, systems and methods for training pelvic floor muscles. Characterized by intravaginal devices and methods of using these devices to observe the status of pelvic floor muscles of an individual in order to diagnose, treat or prevent pelvic floor conditions (e.g., pelvic organ prolapse and incontinence) and associated symptoms thereof, and methods of using these devices to treat or prevent vaginal conditions (e.g., skin laxity) in a subject using energy transmitters (e.g., radio frequency transmitters). The features are also algorithms for detecting pelvic floor motion and physiological markers from the sensor data.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.