A stretchable mounting substrate that includes: a stretchable wiring substrate, the stretchable wiring substrate including a stretchable base material and a stretchable wiring arranged on the stretchable base material; and a module on a surface of the stretchable wiring substrate, the module including a multilayer substrate, a plurality of electronic components on a principal surface of the multilayer substrate, a plurality of first electrodes and a plurality of second electrodes, and internal wirings inside the multilayer substrate. The module has a first electrode arrangement region where the plurality of first electrodes are arranged and a second electrode arrangement region where the plurality of second electrodes are arranged, and includes a node electrode pair, and the internal wiring of the node electrode pair and the stretchable wiring on the stretchable base material intersect each other in plan view of the stretchable wiring substrate.

A stretchable mounting substrate that includes: a stretchable wiring substrate, the stretchable wiring substrate including a stretchable base material and a stretchable wiring arranged on the stretchable base material; and a module on a surface of the stretchable wiring substrate, the module including a multilayer substrate, a plurality of electronic components on a principal surface of the multilayer substrate, a plurality of first electrodes and a plurality of second electrodes, and internal wirings inside the multilayer substrate. The module has a first electrode arrangement region where the plurality of first electrodes are arranged and a second electrode arrangement region where the plurality of second electrodes are arranged, and includes a node electrode pair, and the internal wiring of the node electrode pair and the stretchable wiring on the stretchable base material intersect each other in plan view of the stretchable wiring substrate.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

This disclosure is directed towards detecting artifacts in an ECG signal. An ECG system may include multiple sensors which can sense an ECG signal when attached to a patient. Bipolar leads connect the sensors, and provide the ECG signal from the sensors to a computing device. The computing device receives respective signals from the bipolar leads, where the respective signals are indicative of the ECG signal. The computing device identifies, based on the respective signals, a potential artifact corresponding to a subset of the plurality of bipolar leads. The computing device determines that each lead of the subset of the plurality of bipolar leads is connected to a common sensor. The computing device may use signals originating from a remainder of the bipolar leads (e.g., the bipolar leads that are not connected to the sensor(s) where the artifact is detected) to detect a condition of the patient.

This disclosure is directed towards detecting artifacts in an ECG signal. An ECG system may include multiple sensors which can sense an ECG signal when attached to a patient. Bipolar leads connect the sensors, and provide the ECG signal from the sensors to a computing device. The computing device receives respective signals from the bipolar leads, where the respective signals are indicative of the ECG signal. The computing device identifies, based on the respective signals, a potential artifact corresponding to a subset of the plurality of bipolar leads. The computing device determines that each lead of the subset of the plurality of bipolar leads is connected to a common sensor. The computing device may use signals originating from a remainder of the bipolar leads (e.g., the bipolar leads that are not connected to the sensor(s) where the artifact is detected) to detect a condition of the patient.

A wearable device is provided. The wearable device includes an electronic component and an encapsulant. The encapsulant includes a low-penetrability region encapsulating the electronic component and a high-penetrability region physically separated from the electronic component.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.