Technologies and implementations for a wearable healthcare system, which may be worn by a person. The wearable healthcare systems may include one or more motion sensors. A motion analysis modules may be included in the wearable healthcare system, which may be configured to determine physical activities and intensity of the physical activities of the person.

A smart multi-modal telehealth IoT system for respiratory analysis. Such a system includes a body area sensor network comprised of meshed wireless sensor nodes and advanced machine learning techniques. The system may be used to remotely diagnose a user's respiratory illness and monitor their health.

Embodiments described herein relate generally to biosensing garments, and in particular, to systems and methods for monitoring respiration in a biosensing garment, whereby an improved integration of the respiration monitoring circuit into the garment is achieved, resulting in improved signal quality and durability. In some embodiments, an apparatus includes an elongate member having a longitudinal axis and configured to be stretchable along its longitudinal axis. The elongate member includes a plurality of elastic members (e.g., a first elastic member, a second elastic member, and a third elastic member) that extend along the longitudinal axis. A conductive member is coupled to the first, second and third members, and forms a “curved” pattern along the longitudinal axis of the elongate member. The conductive member is configured to change from a first configuration to a second configuration as the elongate member stretches along its longitudinal axis.

A system includes a wearable article and a housing assembly including a receptacle defining a chamber and having an access opening providing access to the chamber to removably receive an electronic module within the chamber. The housing assembly further includes an interface having first and second electrical contacts exposed to the chamber. First and second conductive leads are connected to the electrical contacts through the bottom side of the receptacle to place the leads in electronic communication with the contacts. The housing assembly is bonded between top and bottom layers of material forming a portion of the wearable article, such that the layers are bonded to the receptacle by a bonding material.

A physiological signal monitoring system includes a single set of sensing electrodes to provide conditioned physiological signals to a primary monitoring device and a secondary monitoring device. The monitoring system includes pre-processing circuitry configured to receive a raw physiological signal. The pre-processing circuitry is configured to produce a primary physiological signal and a secondary physiological signal. Each of the primary and secondary physiological signals are conditioned. The primary conditioned physiological signal is directed to a primary monitoring device such as a hospital wearable defibrillator device. The secondary conditioned physiological signal is directed to telemetry modeling circuitry where it is further processed to output one or more telemetry signals. The one or more telemetry signals are output to a secondary monitoring device such as a three lead ECG monitoring device. Thus, a single set of sensing electrodes can provide physiological signals to multiple monitoring devices.

The wearable article comprises a sensing component. The electronics module (100) comprises an (interface 109) arranged to couple with the sensing component to receive signals. A processor (101) of the module (100) is configured to process the signals. The signals relate to the activity of a user wearing the wearable article. The processor (101) is configured to process the signals to determine whether the activity of the user is within a predetermined allowable range. A light source (103) of the module (100) is configured to emit light based on the determination by the processor (101). The emitted light indicates whether the activity of the user is within the predetermined allowable range. The electronics module (100) also comprises a housing. The processor (101) and light source (103) are provided in the housing. The housing is constructed such that light emitted by the light source (103) is visible from the outside surface of the housing.

Technologies and implementations for a wearable healthcare system including one or more electrodes, which may detect and determine smart leads off conditions of the one or more electrodes. The wearable healthcare system may include a leads off monitor module, which may be configured to learn when and when not to cause a leads off alert.

A medical device includes at least one electrode to sense an electrocardiogram (ECG) signal of a patient, and a controller coupled to the at least one electrode. The controller is configured to generate a first ECG template based on a first ECG signal of the patient received during a first baselining operation. The controller is configured to determine that the patient has been administered a therapeutic shock, and responsive to the determination that the patient has been administered the therapeutic shock, the controller is configured to initiate a second baselining operation and generate a second ECG template based on a second ECG signal of the patient received during the second baselining operation. The controller is configured to determine whether the patient is experiencing a cardiac event based on a comparison of the second ECG template to a real time ECG signal received during real time monitoring of the patient.

An ambulatory medical device configured to analyze heart rates in different operating modes includes a plurality of ECG sensing electrodes, a plurality of therapy electrodes and at least one processor configured to in a default operating mode, perform a default heart rate calculation for determining a heart rate of the patient for use in detecting a cardiac arrhythmia condition of the patient. The at least one processor is configured to change a device operating mode from a default mode based on detecting patient activity to an activity operating mode, and in the activity operating mode, perform a different heart rate calculation from the default heart rate calculation for determining the heart rate for use in detecting the cardiac arrhythmia condition of the patient during the activity operating mode. The at least one processor is configured to deliver the treatment in response to detecting the cardiac arrhythmia condition.

A system comprising a plurality of electrodes adapted to measure bio impedance measurements using electrical currents passing in a target thorax area of a target therebetween during a learning phase, at least one radiofrequency (RF) sensor adapted to measure RF interaction measurements of RF radiation interacting with the target thorax area during the learning phase, and at least one processor adapted to: calculate calibration function according to the bio impedance measurements and the RF interaction measurements, and determine a target thorax area value by adjusting subsequent bio impedance measurements using subsequent electrical currents passing in the target thorax area during an operational learning phase using the calibration function.