According to an aspect of the present disclosure, an electronic device for evaluating and analyzing spiral drawing for diagnostic measurement of movement ability: tracks a line produced by writing pressure to identify at least one stroke constituting the line; calculates the length of the stroke; calculates the writing pressure applied on a display with respect to the stroke; calculates the time taken to produce the stroke; and calculates the speed on the basis of the length of the stroke and the time taken.

A computer-implemented method of generating an analytical model for tracking or predicting the progression of a neurological impairment comprises: receiving training data comprising the results of a plurality of digital tests of neurological impairment; and training the analytical model using the received training data, thereby generating the analytical model. Corresponding com-puter-implemented methods for extracting feature data from the results of a digital test of neurological impairment, and for tracking or predicting the status or process of a neurological impairment are also provided.

Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

Provided is a wearable device for skin testing (100, 400), including: a main body (110, 410) including a first assembly part and a second assembly part; a liquid carrying apparatus (120, 420), the liquid carrying apparatus being assembled on the main body (110, 410) by means of the first assembly part, and having a reaction area (121) for contact with a wearer's skin to be tested; and an imaging apparatus (130, 430), the imaging apparatus being assembled on the main body (110, 410) by means of the second assembly part, and being configured to image the tested skin. The proposed wearable device (100, 400) for skin testing provides a small, convenient, and household skin testing scheme.

The electronic device for diagnosing dementia with Lewy bodies (DLB) or predicting morbidity to DLB according to the present invention includes a processor that measures cortical thicknesses for a plurality of regions of the brain by using brain MRI images of a normal group and a DLB patient group, generates a DLB pattern matrix by using a residual matrix according to a difference between the average cortical thickness and the cortical thickness for each region, applies a first cortical thickness matrix generated by using a brain MRI image of the subject to the DLB pattern to calculate a first DLB pattern score, and diagnoses the subject as DLB or predicting morbidity to DLB by using the first DLB pattern score.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Embodiments are related to a headset integrated into a healthcare platform. The headset comprises one or more sensors embedded into a frame of the headset, a controller coupled to the one or more sensors, and a transceiver coupled to the controller. The one or more sensors capture health information data for a user wearing the headset. The controller pre-processes at least a portion of the captured health information data to generate a pre-processed portion of the health information data. The transceiver communicates the health information data and the pre-processed portion of health information data to an intermediate device communicatively coupled to the headset. The intermediate device processes at least one of the health information data and the pre-processed portion of health information data to generate processed health information data for a health-related diagnostic of the user.

The present invention relates to a quantitative electroencephalogram (QEEG) monitor and system capable of monitoring and displaying simultaneously neuropathological characteristic and activity of both sides of a subject's brain. The methods include various indices and examination of differences in these indices by which neurophysiological conditions or problems can be identified and treated. These methods, and the systems and devices using these methods preferably can be used for identifying these neurophysiological conditions or brain dysfunction with monitors and methods for seizure detection, for sedation monitoring, for anesthesia monitoring, and the like. These bilateral brain monitoring methods and systems, and the devices using these methods can be used by individuals or clinicians with little or no training in signal analysis or processing. These bilateral monitoring methods can also be used in a range of applications.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

An information processing device includes: an acquirer configured to acquire images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject; and a predictor configured to input the images acquired by the acquirer to a model trained on data in which information indicating at least a neurodegenerative disease is associated with the image obtained by imaging the cells of the neurodegenerative disease differentiated from the pluripotent stem cells, and predict an onset of the neurodegenerative disease of the subject or effects of drugs on the neurodegenerative disease, based on output results of the model to which the images were input.