An apparatus with a built-in self-test includes a sensor electrode, an impedance sensor coupled to the sensor electrode to measure a test impedance of the sensor electrode as influenced by an external load, a secondary electrode disposed adjacent to the sensor electrode to inductively couple with the sensor electrode and influence the external load on the sensor electrode, a first switch coupled to the secondary electrode to selectively change a second impedance of the secondary electrode, and a controller coupled to the impedance sensor and the first switch. The controller includes logic for adjusting the first switch to wirelessly load the sensor electrode with the secondary electrode in a predetermined impedance state, measuring the test impedance with the impedance sensor while the secondary electrode is in the predetermined impedance state, and comparing the measured test impedance against a threshold impedance range to perform a self-test.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

Methods for the diagnosis, prognosis, patient stratification and prediction of pharmacological response in patients afflicted by psychiatric disorders based on electroretinography (ERG) parameters are described.

Methods for the diagnosis, prognosis, patient stratification and prediction of pharmacological response in patients afflicted by psychiatric disorders based on electroretinography (ERG) parameters are described.

Described here is a deep brain stimulation (“DBS”) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

Described here is a deep brain stimulation (“DBS”) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

In some embodiments, a system for providing a therapeutic treatment to a patient's eye includes a treatment beam source configured to transmit a treatment beam along a treatment beam path. The system further includes a processor coupled to the treatment beam source, the processor being configured to direct the treatment beam onto retinal tissue of the patient's eye and deliver a series of short duration pulses from the treatment beam onto the retinal tissue at a first treatment spot to treat the retinal tissue. In some embodiments, a pre-treatment evaluation method using electroretinography (ERG) data may be used to predict effects of treatment beams at different power values and to determine optimal power values.

In some embodiments, a system for providing a therapeutic treatment to a patient's eye includes a treatment beam source configured to transmit a treatment beam along a treatment beam path. The system further includes a processor coupled to the treatment beam source, the processor being configured to direct the treatment beam onto retinal tissue of the patient's eye and deliver a series of short duration pulses from the treatment beam onto the retinal tissue at a first treatment spot to treat the retinal tissue. In some embodiments, a pre-treatment evaluation method using electroretinography (ERG) data may be used to predict effects of treatment beams at different power values and to determine optimal power values.

A device for obtaining retinal ERG signals from a target area of the retina, the device comprising means for obtaining an electrical response signal from the target area and at least one light source configured to provide at least a stimulus beam configured to illuminate the target area for inducing an ERG signal and a light adapting background beam configured to illuminate the retina at least in an area outside of the target area, for light adapting the area outside of the target area and suppressing ERG signaling therefrom.