Abstract: Pipetting containers, such as reservoirs, reservoir liners, microplates, PCR plates, microtubes and PCR tubes, include anti-vacuum channels on the bottom wall of the receptacle to prevent a pipette tip vacuum engaging the wall during aspiration. The groupings of anti-vacuum channels are located on the bottom surface facing upward into the basin that holds liquid samples or reagents. The anti-vacuum channels also lower the required working volume for pipetting and reduce liquid waste.

Abstract: The present disclosure pertains to delivering sensory stimulation to a subject during a sleep session in order to enhance dream recall. The system may detect REM sleep in the subject during a sleep session based on brain activity of the subject. The system may then deliver sensory stimulation to the subject during the sleep session. The system may deliver sensory stimulation at a frequency in a theta range of an EEG signal in order to increase theta power in the brain activity of the subject. In some embodiments, the system may modulate the intensity of the sensory stimulation according to changes in the EEG theta power associated with the subject during the sleep session. In some embodiments, an increase in EEG theta power associated with the subject may promote dream recall.

Abstract: The present disclosure pertains to shortening sleep latency during the wake to sleep transition. Sensory stimulation is delivered to a subject by sensory stimulators during a sleep session, and a measure of wakefulness of the subject is determined. The sensory stimulators are controlled based on the measure of wakefulness of the subject. The sensory stimulators may be controlled to modulate an intensity of the sensory stimulation delivered to the subject. For example, the sensory stimulators may decrease the intensity of the sensory stimulation as the measure of wakefulness decreases. The system then determines that the measure of wakefulness has reached stable sleep. The sensory stimulators are controlled based on the determination that the measure of wakefulness has reached stable sleep. The sensory stimulators may decrease the intensity of the sensory stimulation at a faster rate once the measure of wakefulness reaches stable sleep.

Abstract: The present disclosure pertains to enhancement of slow wave activity and personalized measurement thereof. Sensory stimulation may be delivered to a subject upon detection of slow wave activity of the subject. The system may obtain a baseline model, which includes baseline information describing slow wave activity increases due to sensory stimulation delivered to an age matched population. The system may generate a personalized model based on the baseline information, the sensory stimulation delivered to the subject, and slow wave activity increases due to sensory stimulation delivered to the subject during prior sleep sessions. The system may then provide the subject with personalized measurements relating to the slow wave activity enhancement.

Abstract: An apparatus used in a method for generating an ear electroencephalogram (EEG) signal from an ear of a patient includes: a housing; a first electrode provided on a first portion of the housing received within an ear canal of the ear, such that the first electrode is disposed against a first surface of the ear canal to generate a first ear canal signal; a second electrode provided on a second portion of the housing structured to be received within a concha of the ear when the first portion is received within the ear canal, such that the second electrode is disposed against a surface of concha to generate a concha signal; and electronic circuitry provided within the housing, the electronic circuitry being structured and configured to generate a first in ear signal after receiving the first ear canal signal and the concha signal.

Abstract: The present disclosure pertains to automatically predicting a slow wave response of a subject to sensory stimulation during a sleep session. The sensory stimulation may be delivered to the subject upon detection of deep NREM sleep. The sensory stimulation may be auditory, haptic, visual, or other stimulation. The system delivers stimulation to the subject in blocks of stimulation separated from one another be intra-block intervals. The blocks are separated from each other by inter-block stimulations. The system compares the stimulated slow wave activity of the subject to the unstimulated slow wave activity of the subject. The system may update the stimulation parameters based on the comparison and deliver a subsequent block stimulation. Once the comparison indicates that the stimulated slow wave activity is significantly different from the unstimulated slow wave activity, the system may apply continuous fixed sensory stimulation to the user according to the most recent stimulation parameters.

Abstract: The present disclosure pertains to a system and method for determining whether a subject is likely to be disturbed by therapy levels of stimulation provided to the subject during sleep sessions. The present system is configured to automatically identify sensitive users using electroencephalogram (EEG) information from a reference sleep session with or without stimulation. For reference sleep sessions without stimulation, the alpha activity in detected deep sleep is used to predict whether the subject is likely to be disturbed by therapy levels of stimulation. For reference sleep sessions with stimulation, the acute increase in EEG delta (e.g., 0.5-4 Hz) power and/or an arousability index are used to predict whether the subject is likely to be disturbed by therapy levels of stimulation.

Abstract: The present disclosure pertains to a system configured to adjust an intensity of sensory stimulation delivered to a subject during a sleep session based on sleep depth in the subject during the sleep session. The restorative value of sleep may be increased by enhancing sleep slow-waves using sensory stimulation. The stimulation may be applied at an appropriate timing and/or intensity to enhance sleep slow-waves to enhance slow-waves without disturbing sleep.

Abstract: A method is provided for measuring a wake up indicator, where the wake up indicator gives the likelihood of a user waking up undesirably. It is based on the knowledge that waking up during deep NREM sleep is not desirable due to sleep inertia and on the recognition that it is also undesirable to wake up during REM sleep due to atonia. A sleep inertia estimation is determined to estimate if the user is in NREM sleep and an atonia estimation is determined to estimate if the user is in REM sleep. The wake up indicator is determined from the sleep inertia estimation and the atonia estimation. The wake up indicator thus may be used as an indicator for the time when it is suitable to wake up the user in a way which avoids arousal from a deep sleep state or from REM sleep, during which atonia may arise.

Abstract: The present disclosure pertains to a system and method for determining sleep onset latency in a subject. The system is configured to generate output signals conveying information related to brain activity in the subject, determine sleep stages of the subject based on the output signals, determine a sleep onset moment in the subject based on the determined sleep stages, determine a sleep intention moment for the subject by: (i) detecting eye blinks in the subject based on the output signals, and determining the sleep intention moment responsive to the detected eye blinks ceasing for a predetermined period of time; and/or (ii) determining whether brain activity power in a target frequency band has breached a threshold power level based on the output signals, and determining the sleep intention moment responsive to a breach; and determine the sleep onset latency based on the sleep onset moment and the sleep intention moment.

Abstract: A pipetting reservoir kit includes a base, a disposable liner, and a lid. The disposable liner includes anti-vacuum channels on the bottom wall to prevent a pipette tip vacuum engaging the wall during aspiration. The groupings of anti-vacuum channels located on the bottom surface of the liner face upward into the basin that holds liquid samples or reagents. The groupings of anti-vacuum channels are spaced in an array 4.5 mm apart for a 384 pipetting head and 9 mm apart for a 96 pipetting head. The anti-vacuum channels also lower the required working volume for the liner and reduce liquid waste.

Abstract: A system for delivering sensory stimulation a sensor; a sensory stimulator configured to deliver sensory stimulation to a patient during a sleep session, the sensory stimulation having varying stimulation intensity levels; and a computer system. One or more physical processors being programmed with computer program instructions which, when executed cause the computer system to: determine sleep stage information of the patient based on brain activity information of the patient during the sleep session from the sensor; provide input to the sensory stimulator based on the determined sleep stage information of the patient, the provided input causing the sensory stimulator to deliver the sensory stimulation to the patient; obtain stimulation response information from the patient, the stimulation response information including patient brain response to the delivered sensory stimulation; and determine a range of the stimulation intensity levels within which the patient brain response reaches a threshold.

Abstract: Typically, high NREM stage N3 sleep detection accuracy is achieved using a frontal electrode referenced to an electrode at a distant location on the head (e.g., the mastoid, or the earlobe). For comfort and design considerations it is more convenient to have active and reference electrodes closely positioned on the frontal region of the head. This configuration, however, significantly attenuates the signal, which degrades sleep stage detection (e.g., N3) performance. The present disclosure describes a deep neural network (DNN) based solution developed to detect sleep using frontal electrodes only. N3 detection is enhanced through post-processing of the soft DNN outputs. Detection of slow-waves and sleep micro-arousals is accomplished using frequency domain thresholds. Volume modulation uses a high-frequency/low-frequency spectral ratio extracted from the frontal signal.

Abstract: A system for delivering sensory stimulation comprises a sensor configured to measure brain activity information of a patient during a sleep session; a sensory stimulator configured to deliver sensory simulation to the patient during the sleep session; and a computer system. One or more physical processors are programmed with computer program instructions which, when executed cause the computer system to: determine a first stimulation profile, a second stimulation profile, or a combination stimulation profile thereof based on obtained sleep cycle information and/or obtained cognitive domain information; and provide input to the sensory stimulator based on the determined stimulation profile, the provided input causing the sensory stimulator to deliver the sensory simulations to the patient based on the determined stimulation profile during the detected slow wave sleep in the patient.

Abstract: The present disclosure pertains to a system configured to adjust an intensity of sensory stimulation delivered to a subject during a sleep session based on sleep spindles in the subject during the sleep session. The system is configured to adjust the intensity of the stimulation based on a sleep spindle frequency and/or a sleep spindle density. The system is configured to determine a recent spindle density and/or a recent spindle frequency for a recent period of time during the sleep session based on detected sleep spindles, and to determine a previous spindle density and/or a previous spindle frequency for a previous period of time during the sleep session based on the detected sleep spindles. The system controls the intensity of sensory stimulation provided to the subject based on a comparison of the previous spindle density to the recent spindle density and/or the previous spindle frequency to the recent spindle frequency.