A61B5/6802

SENSOR DEVICE, NOTIFICATION METHOD, POUCH, AND NOTIFICATION SYSTEM
20230050302 · 2023-02-16 · ·

Provided is a sensor device capable of detecting leakage from a pouch with a higher accuracy. An odor sensor (41) detects odor leaking from a pouch (3) attached to a stoma (21) of a user (2). A radio communication interface (42) notifies, via a notification device (5), the user (2) that odor is detected.

Sessions and groups

Athletic activity may be tracked while providing encouragement to perform athletic activity. For example, energy expenditure values and energy expenditure intensity values may be calculated and associated with a duration and type of activity performed by an individual. These values and other movement data may be displayed on an interface in a manner to motivate the individual and maintain the individual's interest. The interface may track one or more discrete “sessions”. The sessions may be associated with energy expenditure values during a duration that is within a second duration, such as a day, that is also tracked with respect to variables, such as energy expenditure. Other individuals (e.g., friends) may also be displayed on an interface through which a user's progress is tracked. This may allow the user to also view the other individuals' progress toward completing an activity goal and/or challenge.

Wearable device and sensor device

A wearable device includes a wearable device main body, a sensor part configured to contact a skin surface of a user of the wearable device, and measure a bio-signal of the user, and a shock absorber that is interposed between the wearable device main body and the sensor part to mechanically connect the wearable device main body and the sensor part, and that is configured to reduce motion transmission between the wearable device main body and the sensor part to permit the wearable device main body to move independently from the sensor part.

ELECTRICAL IMPEDANCE TOMOGRAPHY BASED METHOD AND DEVICE FOR GENERATING THREE-DIMENSIONAL BLOOD PERFUSION IMAGE
20230045401 · 2023-02-09 ·

Provided in the present disclosure are an electrical impedance tomography based method and device for generating a three-dimensional blood perfusion image. The method (100) comprises: using an electrode array distributed in a three-dimensional space to perform electrical impedance measurement on a human body region to be measured so as to obtain an electrical impedance measurement signal (110); and on the basis of a blood perfusion signal in the electrical impedance measurement signal, reconstructing a three-dimensional blood perfusion image by means of an image reconstruction algorithm (120). Therefore, a three-dimensional image of electrical impedance variations caused by blood perfusion can be generated; and compared with a two-dimensional image in the prior art, the three-dimensional image can more intuitively reflect the blood perfusion condition of a volume area in the three-dimensional space of a human body region, and facilitates image analysis and comparison and disease detection and diagnosis.

Topological features and time-bandwidth signature of heart signals as biomarkers to detect deterioration of a heart
11553843 · 2023-01-17 · ·

A system monitors an individual for conditions indicating a possibility of occurrence of irregular heart events. A database includes a plurality of combinations of at least a first signature and a second signature. A first portion of the plurality of combinations is associated with a normal heartbeat and a second portion of the plurality of combinations is associated with an irregular heart event. A wearable heart monitor that is worn on a body of the patient includes a heart sensor for generating a heart signal responsive to monitoring a beating of a heart of the individual. The monitor further includes a processor for receiving the heart signal from the heart sensor. The processor is configured to analyze the heart signal using a plurality of different processes. Each of the plurality of different processes generates at least one of the first signature and the second signature. The plurality of different processes provide a unique combination including at least the first signature and the second signature for the generated heart signal. The processor compares the unique combination with the plurality of combinations in the database, locates a combination of the plurality of combinations that substantially matches the unique combination and generates a first indication if the unique combination substantially matches one of the first portion of the plurality of combinations and a second indication if the unique combination substantially matches one of the second portion of the plurality of combinations.

SENSOR DEVICE, METHOD AND WEARABLE ARTICLE
20230010116 · 2023-01-12 ·

The sensor device (10) comprises a sensor module (101) and an input-output interface (105) arranged to send and receive data over a bidirectional line (11). A buffer (103) is arranged to store time-series sensor data. A programmable and erasable nonvolatile memory (109) receives and stores an identifier for the sensor device (10). The sensor module (101) generates an inference using the sensor data. The sensor device (10) is arranged to switch between sending, over the bidirectional line (11), data sensed by the sensor module (101) and the generated inference. The sensor device (10) is a single-wire sensor device. The input-output interface (105) is a single-wire input-output interface. The sensor module (101) is a motion, electropotential, electroimpedance, chemical, or optical sensor module. The sensor device (10) is provided in a system comprising a master device. The sensor device (10) or system is incorporated into a wearable article.

Flexible sheet for neuromuscular stimulation

A flexible sheet for neurostimulation has a flexible non-conductive substrate matrix in which electrodes are embedded along a lower surface. Electrically conductive wires extend from the electrodes through the flexible substrate to another exterior surface of the substrate. Methods of making the flexible sheet and making a device using the flexible sheet are also disclosed.

Monitor device of a medical system and associated method for operating a monitor device

Disclosed is a method of operating a monitor device and an associated monitor device of an ostomy system including an ostomy appliance having an electrode assembly comprising a plurality of electrodes including a first electrode pair, the method comprising: obtaining one or more parameters including obtaining a first parameter of a first terminal pair connected to the first electrode pair of the electrode assembly; determining if one or more operability criteria are satisfied based on the one or more parameters including determining if the first parameter satisfies first operability criteria indicative of operability of the first electrode pair of the electrode assembly.

DYNAMIC WEARABLE DEVICE BEHAVIOR BASED ON SCHEDULE DETECTION
20180000414 · 2018-01-04 ·

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.

Precision treatment platform enabled by whole body digital twin technology

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.