A blood-purification-treatment support system is capable of making an accurate judgement of whether or not any treatment conditions for blood purification treatment should be changed. The blood-purification-treatment support system is capable of supporting blood purification treatment. The system includes a storage device that stores patient-specific patient data that are acquired on a plurality of days including at least no-treatment days on which blood purification treatment is not conducted, an estimating device that compares the patient data for the plurality of days stored in the storage device with one another and estimates a pre-treatment patient state regarding blood purification treatment, and a judging device that judges from the pre-treatment patient state estimated by the estimating device whether or not any treatment conditions for blood purification treatment should be changed.

Technologies are provided for remote neuropsychological assessments and other types of remote assessments (medical or otherwise).

Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase or one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

A system for acquiring physiological data from a patient, the system comprising: a smartphone configured for wireless communication; an adapter for releasably mounting to the smartphone; a sensor module for releasably mounting to the adapter, the sensor module comprising at least one sensor for acquiring physiological data from the patient; and a software app running on the smartphone for (i) wirelessly controlling operation of the sensor module and wirelessly receiving the physiological data from the sensor module, and (ii) wirelessly communicating with a remote location.

The present disclosure describes a system for metabolic monitoring comprising: collecting exhaled gas from nasal airways of a subject; a mixing chamber for receiving a portion of the exhaled gas; a plurality of sensors for outputting signals related to gas parameters related to inhaled gas and exhaled gas during one or more breaths; and processors configured to determine a flow rate of gas in the interface appliance; determine pressure changes near the mouth of the subject to detect mouth breathing of the subject; determine concentration measurements of O2 and CO2 of the portion of the exhaled gas in the mixing chamber, and discard concentration measurements corresponding to mouth breathing; determine a rate of oxygen consumption VO2 and a carbon dioxide production VCO2 of the subject based on the determined flow rate, the CO2 concentration, and the determined O2 concentration.

A method for determining one or more vital signs of a person includes recording video images of a scene with an egocentric camera coupled to the person's body, detecting and magnifying image frame-to-image frame movements in the video images of the scene, representing the magnified image frame-to-image frame movements in the video images of the scene by a one-dimensional (1D) amplitude-versus-time series, and transforming the 1D amplitude-versus-time series representation into a frequency spectrum. The method further includes identifying one or more local frequency maxima in the frequency spectrum as corresponding to one or more vital signs of the person.

A method and apparatus for monitoring vital signs, such as cardiopulmonary activity, using a ballistograph are provided. The method and apparatus may be used to monitor an infant sleeping in a crib, a patient in a hospital, a person with a chronic disease at home or in professional care, or a person in an elder-care setting.

Introduced are methods and systems for an adjustable bed device configured to: gather biological signals associated with multiple users, such as heart rate, breathing rate, or temperature; analyze the gathered human biological signals; and heat or cool a bed based on the analysis.

A sleep-aiding audio signal updating method and apparatus in the artificial intelligence (AI) field is provided. The method includes: obtaining a first biological signal collected when a first audio signal in a sleep-aiding audio library is played, where the first biological signal is a biological signal of a first user; determining a sleep quality of the first user based on the first biological signal; and updating the sleep-aiding audio library based on the sleep quality of the first user, so that a sleep-aiding audio signal can be updated, to provide a proper sleep-aiding audio signal for a user, and ensure a sleep-aiding effect.

Improved optical coherence tomography systems and methods to measure thickness of the retina are presented. The systems may be compact, handheld, provide in-home monitoring, allow the patient to measure himself or herself, and be robust enough to be dropped while still measuring the retina reliably.