Abstract: Disclosed herein are systems, methods, and devices of detecting illness in presymptomatic and asymptomatic infected persons using wearable sensor technology. In a first embodiment, a method is implemented on a computing device, the method includes receiving first sensor data associated with the person over a first period of time and applying the first sensor data to a multi-variate detection model. The method further includes receiving second sensor data associated with the person over a second period of time and applying the second sensor data to the multi-variate detection model. Further the method includes determining a probability value of the illness in the person using the multi-variate detection model and transmitting the probability value to a user interface (UI).

Abstract: A computer implemented method is disclosed for detecting a mild traumatic brain injury (mTBI) on a subject having recently suffered a head injury. The method includes (1) receiving first electrocardiogram (ECG) data from the subject during a first transition from a first position to a second position; and (2) determining a probability value of mTBI within the subject based at least partially on the first ECG data during the first transition. The first position may be a prone position or a supine position and the second position may be a standing position.

Abstract: A system with binary coding in a textile structure can include a textile sensor that senses a property and that has a yarn pattern. A binary code can be associated with the yarn pattern. When the textile sensor senses the property, the property alters relative positions of yarns in the yarn pattern, causing the associated binary code to change. A particular change in the binary code represents a defined value of the property. As a result, a second textile sensor having a second yarn pattern can be designed based on the unique binary codes of the first textile sensor measurements, such that the second textile sensor provides predictable responses to different property values.

Abstract: A system and method comprising binary coding in a textile structure can include a textile sensor configured to sense a property and having a yarn pattern. A binary code can be associated with the yarn pattern. When the textile sensor senses the property, the property alters relative positions of yarns in the yarn pattern, causing the associated binary code to change. A particular change in the binary code represents a defined value of the property. As a result, a second textile sensor having a second yarn pattern can be designed based on the unique binary codes of the first textile sensor measurements, such that the second textile sensor provides predictable responses to different property values.