Abstract: The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.

Abstract: The present disclosure relates to a method and system for acquiring and analyzing physiological signals to detect neurodegenerative abnormality in a brain of a subject. A wearable wireless device together with one or more cluster of electrodes can be used to record the physiological signals for each hemisphere of the brain of the subject. For each hemisphere and for each of the one or more cluster of electrodes may include at least one active electrode. The physiological signals for each hemisphere may be separately processed that may include denoising, artifacts removal, segmentation, normalization, transformation, and/or feature extraction. The physiological signals of a first hemisphere and the physiological signals of a second hemisphere of the brain of the subject can be compared to quantify asymmetry across hemispheres and to identify neurodegenerative abnormality.

Abstract: Detecting neurotoxicity associated abnormalities due to certain medication therapies can be significant for identifying various neurological disorders. The present disclosure relates to detection of neurotoxicity related disorders by leveraging an interface including one or more sets of queries and a set of components to receive a set of responses corresponding to the sets of queries. The techniques, as disclosed herein, may use one or more attributes of the set of responses including consistency, complexity, grammar and spelling correctness, and time taken during the responses. The disclosed technique may preprocess the responses, extract features and generate one or more metrics corresponding to the one or more attributes of the one or more responses provided by the subject during a session with the interface.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: Detecting rapid eye movement (REM) sleep and associated abnormalities can be significant for identifying various neurological disorders. The present disclosure relates to detection of time intervals during which a subject is in REM sleep by leveraging encephalography (EEG) data from selective spectral frequencies. The techniques, as disclosed herein, may use one or more EEG electrodes, more specifically, a single-channel EEG signal offering a simple and a cost effective solution. The disclosed technique may preprocess this EEG data, extract features and/or derived features for one or more time intervals from selective spectral bands e.g., Delta and Gamma. These extracted features may be normalized and clustered to further determine REM, non-REM, and awake time intervals. By leveraging one or more non-EEG sensors to detect presence of muscle tones for the identified REM sleep intervals and by performing sleep pattern analysis, potential REM intervals may be validated for detection of REM behavior disorder.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: Method and systems for translating biological signals to perform various operations associated with a computing device is provided. The method can include accessing biological-signal data that was collected by a biological-signal data acquisition assembly that comprises a housing having one or more clusters of electrodes. Each cluster of the one or more clusters of electrodes can include at least an active electrode. The method can also include identifying, based on the biological-signal data, a first signal that represents a first intent to move a first portion of a body of the subject. The first signal is generated before a second signal, in which the second signal represents a second intent to move a second portion of the body of the subject. The method can also include translating the first signal to identify a first operation to be performed by a computing device.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: A computer-implemented method can include receiving data indicative of brainwave activity over a particular time period. The method can also include determining, based on the data, at least one metric associated with at least one sleep state for a subject. Additionally, the method can include determining, based on the at least one metric, a risk level associated with seizure activity for the subject. The method can further include generating an output indicating the risk level.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: Stable monomeric Fc (mFc) fragments, conjugates and compositions comprising such mFc fragments, and methods of use thereof.

Abstract: A conjugate having the formula TL-L-Hn, wherein TL is a targeting ligand for a target protein on the surface of a virus, a virus-infected cell, a cancer cell, an immune cell, or a fibroblast; L is a linker; H is a hapten; and n is an integer of 2 or greater. Compositions comprising the conjugate and methods of use are also provided.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Abstract: A conjugate of formula (I) FRTL-BBMecL-AA or (II) FRTL-Alb-BBMecL-AA, wherein FRTL is a folate receptor-targeting ligand, BBMecL is a brush border membrane (BBM) enzyme-cleavable linker, Alb is an albumin-binder moiety, and AA is an active agent; composition comprising same; and method of imaging and/or treating a tumor.

Abstract: A conjugate of formula EVTsmL-L-AMRL, wherein EVTsmL is an enveloped virus-targeting, small molecule ligand, AMRL is an activated macrophage-recruiting ligand, and L is a linker that is covalently bound to EVTsmL and AMRL; a composition comprising the same; and a method of using the conjugate or composition to treat (therapeutically or prophylactically) a viral infection.