A system includes a memory storing a user profile for a user of the system and machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive physiological data associated with the user during a sleep session, determine, based at least in part on the received physiological data, a set of sleep-related parameters for the sleep session, subsequent to the sleep session, select one of the set of sleep-related parameters as a targeted parameter, the selection of the targeted parameter being based at least in part on the stored user profile, the set of sleep-related parameters, or both, and cause information to be communicated to the user via a user device, the information being indicative of the targeted parameter, a recommendation associated with improving the targeted parameter for the user in one or more subsequent sleep sessions, or both.

A system for determining a treatment regimen for chronic pelvic pain (CPP) includes an electromyography (EMG) probe including electrodes. Each electrode detects pelvic floor muscle activity. An EMG sensor array includes bipolar EMG sensors configured to detect muscle activity of muscles associated with or supporting the pelvic floor muscles. An EMG amplifier is in communication with the EMG probe or the EMG sensor array. The EMG amplifier includes a plurality of input channels. Each input channel receives data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles from the EMG probe or the EMG sensor array. A processor of a computer performs muscle network analysis using the data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles. A treatment regimen for CPP is recommended based on the muscle network analysis.

A method includes generating an ablation programming language, which defines commands for (i) setting ablation protocol parameters and respective values, (ii) setting a configuration of an ablation system, (iii) applying automatic logic that relates the ablation protocol parameters and the values to the configuration of the ablation system, and (iv) generating one or more graphical user interfaces (GUIs) showing one or more of the parameters of the ablation protocol and the system configuration. The ablation programming language is provided for subsequent use with the ablation system.

A method includes generating an ablation programming language, which defines commands for (i) setting ablation protocol parameters and respective values, (ii) setting a configuration of an ablation system, (iii) applying automatic logic that relates the ablation protocol parameters and the values to the configuration of the ablation system, and (iv) generating one or more graphical user interfaces (GUIs) showing one or more of the parameters of the ablation protocol and the system configuration. The ablation programming language is provided for subsequent use with the ablation system.

Skincare and facial scanning systems and methods are disclosed herein for providing skincare device connectivity and setting configurations. A skincare device comprising a sensor is configure to scan, and to deposit a cosmetic ink composition onto, the skin of a user. A skincare application (app), communicatively coupled to the skincare device, generates a user-specific electronic analysis based on use of the skincare device on skin of a face portion of the user, wherein at least a portion of the user-specific electronic analysis is configured for display on a graphic user interface. In some aspects, the skincare device comprises an identification certificate configured to uniquely identify the skincare device to the skincare app upon a connection between the skincare device and the skincare app. The connection may be a persistent connection maintaining connectivity between the skincare device and the skincare app for a plurality of uses of the skincare device.

Skincare and facial scanning systems and methods are disclosed herein for providing skincare device connectivity and setting configurations. A skincare device comprising a sensor is configure to scan, and to deposit a cosmetic ink composition onto, the skin of a user. A skincare application (app), communicatively coupled to the skincare device, generates a user-specific electronic analysis based on use of the skincare device on skin of a face portion of the user, wherein at least a portion of the user-specific electronic analysis is configured for display on a graphic user interface. In some aspects, the skincare device comprises an identification certificate configured to uniquely identify the skincare device to the skincare app upon a connection between the skincare device and the skincare app. The connection may be a persistent connection maintaining connectivity between the skincare device and the skincare app for a plurality of uses of the skincare device.

A biological-measurement device includes a light-emitting unit configured to emit light on a body of a test-subject, a light-detecting unit configured to detect light reflected in the body of the test-subject, a control-unit configured to calculate information regarding a pulse-wave of the body of the test-subject based on the light detected by the light-detecting unit, a circuit-board that is flexible and has a first-surface on which the light-emitting unit and the light-detecting unit are provided, the circuit-board further having wiring connecting the light-emitting unit and the control-unit together and connecting the light-detecting unit and the control-unit together, a shielding-unit that is provided on the first-surface, the shielding-unit being situated between the light-emitting unit and the light-detecting unit and configured to protrude beyond the light-emitting unit and the light-detecting unit in a direction perpendicular to the first-surface, and an adhesive-part for firmly contacting with the body of the test-subject.

A system for exercise assessment and prescription generation, which is signally connected with at least one exercise device includes a biological information collecting module, an assessing standard generating module, an exercising information collecting module and a personal prescription generating module. The biological information collecting module collects biological information of a user. The assessing standard generating module is signally connected with the biological information collecting module and a cloud data platform, and for generating an assessing standard by calculating the biological information and the plurality of reference information in the cloud data platform. The exercising information collecting module is signally connected with at least one exercise device, and obtains assessed exercising information.

A system for exercise assessment and prescription generation, which is signally connected with at least one exercise device includes a biological information collecting module, an assessing standard generating module, an exercising information collecting module and a personal prescription generating module. The biological information collecting module collects biological information of a user. The assessing standard generating module is signally connected with the biological information collecting module and a cloud data platform, and for generating an assessing standard by calculating the biological information and the plurality of reference information in the cloud data platform. The exercising information collecting module is signally connected with at least one exercise device, and obtains assessed exercising information.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.