Embodiments described herein relate generally to wearable electronic biosensing garments. In some embodiments, an apparatus comprises a biosensing garment and a plurality of electrical connectors that are mechanically fastened to the biosensing garment. A plurality of printed electrodes is disposed on the biosensing garment, each being electrically coupled, via a corresponding conductive pathway, to a corresponding one of the plurality of electrical connectors. The apparatus can further include an elongate member including a conductive member that is coupled to a plurality of elastic members in a curved pattern and that is configured to change from a first configuration to a second configuration as the elongate member stretches. The change from the first configuration to the second configuration can result in a change of inductance of the conductive member.

Embodiments described herein relate generally to wearable electronic biosensing garments. In some embodiments, an apparatus comprises a biosensing garment and a plurality of electrical connectors that are mechanically fastened to the biosensing garment. A plurality of printed electrodes is disposed on the biosensing garment, each being electrically coupled, via a corresponding conductive pathway, to a corresponding one of the plurality of electrical connectors. The apparatus can further include an elongate member including a conductive member that is coupled to a plurality of elastic members in a curved pattern and that is configured to change from a first configuration to a second configuration as the elongate member stretches. The change from the first configuration to the second configuration can result in a change of inductance of the conductive member.

An electronic device and method for data-driven assistance for users involved in physical activities is provided. The electronic device receives first sensor data associated with a movement pattern of one or more parts of a body of a user and receives first information associated with a location where the user performs the physical activity. The electronic device determines one or more first indicators which are likely to have affected the user or the performance of the user in the physical activity. Thereafter, the electronic device generates presentation data based on an application of a first machine learning model on the determined one or more first indicators and the received first information. The generated presentation data includes one or more improvement suggestions for the user in relation to the physical activity. The electronic device controls a display device to display the presentation data.

Systems and methods for adjusting resistance on an exercise cycle having a frame and a flywheel include calibration, homing and auto-follow routines. A resistance apparatus comprising an actuator is configured to selectively position the resistance apparatus relative to the flywheel, wherein a distance between the resistance apparatus to the flywheel corresponds to resistance applied to the flywheel. Control components are configured to control operation of the resistance system in response to instructions, and a computing device is configured to output media for an exercise class to a user, the exercise class comprising one or more target resistance ranges corresponding to a segment of the exercise class. The computing device is further configured to selectively implement auto-follow logic configured to determine a target resistance value for a current segment of the exercise class and instruct the control components to adjust the resistance system to the target resistance value.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

Embodiments of the invention relate to an intelligent shin guard (10) comprising the electronic components of a microprocessor (11), data sensors (12, 13), a memory (14), at least one wireless communication interface (15) and a power supply (17) integrated into the body of the shin guard, the wireless communication interface enabling the sending of at least a portion of data captured by the sensors with respect to a sports session.

Devices and methods for predicting, identifying and/or managing pneumonia are disclosed and may generally comprise a housing, a mouthpiece in communication with the housing and configured for insertion within a mouth, a temperature sensor positioned within or along the housing, a pulse oximeter sensor positioned along the housing for sensing a heart rate or blood oxygen level, a microphone positioned within or along the housing for obtaining sounds associated with respiration, and a controller configured to receive physiologic parameters including the temperature, heart rate, blood oxygen level, and sounds associated with respiration. The controller can determine a likelihood of contracting pneumonia, a presence of pneumonia, or a status of pneumonia within the user based on deviations from a threshold value which are present in at least two of the physiologic parameters.

Apparatus and methods for providing breath training. In illustrative embodiments, an operator creates a pressure, either positive or negative, in the lungs. This pressure is transferred through a mask assembly to a breathwork apparatus, which utilizes pistons moving within cylinder volumes to provide numerical feedback to an operator regarding the operator's breathing. Through breath control exercises, the operator of a breathwork apparatus can develop deeper and slower breathing habits which are more efficient. One embodiment provides a breathwork apparatus comprising an exhalation side; a transfer case; an inhalation side; and, a mask assembly, wherein the exhalation side and inhalation side are joined by transfer case which comprises a plurality of channels, such that at least a first channel of a plurality of channels terminates in an exhalation rate meter, and at least a second channel of the plurality of channels terminates in an inhalation rate meter.

A method for updating a treatment plan. The treatment plan is associated with a user using a treatment apparatus to perform the treatment plan. The method includes receiving first data associated with a first diagnosis of the user. The method includes generating, based on the first data, an initial treatment plan to be performed on the treatment apparatus by the user. The method includes receiving second data associated with a first attribute of the user. The method includes generating, via an artificial intelligence engine, a machine learning model trained to generate an updated treatment plan based on the initial treatment plan and the second data.