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.

An earpiece monitor configured to be worn by a subject includes a battery, an earpiece fitting configured to be inserted within an ear canal of an ear of the subject, a reflective pulse oximeter configured to measure pulse rate and pulse intensity of the subject, a motion sensor configured to monitor footsteps and head motion of the subject, a digital memory for storing at least one algorithm, and a processor configured to process signals from the reflective pulse oximeter and the motion sensor using the at least one algorithm to generate as assessment of a health state of the subject. The earpiece fitting is configured to transmit sound to the inner ear or eardrum of the subject. The assessment of the health state of the subject may include an assessment of subject physiological stress and/or an assessment of overall subject health.

An earpiece monitor configured to be worn by a subject includes a battery, an earpiece fitting configured to be inserted within an ear canal of an ear of the subject, a reflective pulse oximeter configured to measure pulse rate and pulse intensity of the subject, a motion sensor configured to monitor footsteps and head motion of the subject, a digital memory for storing at least one algorithm, and a processor configured to process signals from the reflective pulse oximeter and the motion sensor using the at least one algorithm to generate as assessment of a health state of the subject. The earpiece fitting is configured to transmit sound to the inner ear or eardrum of the subject. The assessment of the health state of the subject may include an assessment of subject physiological stress and/or an assessment of overall subject health.

Tools and techniques for estimating and/or predicting a patient's current and/or future blood pressure. In some cases, the tools will analyze physiological data captured from the patient against a model of blood pressure values to estimate/predict the patient's blood pressure value. In particular cases, derived parameters, such as a patient's compensatory reserve index (“CRI”) can be analyzed against such models, while in other cases, data captured from sensors can be directly analyzed against such models.

The circuit for measuring a bio-stimulating and bio-signal according to an embodiment of the inventive concept may include a bio-stimulating signal generating circuit, a bio-signal electrode, a switch block, first and second resistors, and a bio-signal measuring circuit. The bio-stimulating signal generating circuit may generate a bio-stimulating signal in a bio-stimulating mode. The bio-signal electrode may to deliver the bio-stimulating signal generated in the bio-stimulating mode and receive a bio-signal in a bio-signal measuring mode. The switch block may be turned on in a case where a voltage of the bio-stimulating signal is greater than a first reference voltage or lower than a second reference voltage. The first and second resistors may be serially connected between the bio-signal electrode and the switch block and divide a voltage of a signal of the bio-signal electrode according to whether the switch block is turned on. The bio-signal measuring circuit may measure voltage signals divided by the first and second resistors or measure a signal of the bio-signal electrode, according to whether the switch block is turned on. The first reference voltage may be greater than the second reference voltage.

The present invention provides a light-weight wearable sensor that can capture electroencephalogram (EEG or brain signals), electromyography (EMG or muscle signal), and electrooculography (EOG or eye movement signal) using a pair of modified off-the-shelf earplugs. The present invention further provides a supervised non-negative matrix factorization learning algorithm to analyze and extract these signals from the mixed signal collected by the sensor. The present invention further provides an autonomous and whole-night sleep staging system utilizing the sensor's outputs.

The present invention provides a light-weight wearable sensor that can capture electroencephalogram (EEG or brain signals), electromyography (EMG or muscle signal), and electrooculography (EOG or eye movement signal) using a pair of modified off-the-shelf earplugs. The present invention further provides a supervised non-negative matrix factorization learning algorithm to analyze and extract these signals from the mixed signal collected by the sensor. The present invention further provides an autonomous and whole-night sleep staging system utilizing the sensor's outputs.

Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

A system for controlling blood pressure includes a wearable interface having an internal contact surface, the wearable interface configured to at least partially encircle a first portion of a first limb of a subject, a sensing module carried by the wearable interface and configured to determine at least a change in blood pressure of the first limb of the subject, and an energy application module carried by the wearable interface and configured to apply energy of two or more types to the first limb of the subject.

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.