A system and method for biofeedback-based control of sexual stimulation devices involving receiving biometric data, analyzing the biometric data to detect changes in the physiology of a person, and generating control signals based on the changes. In some embodiments, the analyses of the biometric data are performed by machine learning algorithms which may be trained on associations between biometric data of a user, indications of the user's state of arousal, and the state of operation of a sexual stimulation device. In some embodiments, machine learning algorithms are used to make the associations. In some embodiments, biofeedback-based controls may be incorporated into systems of controls comprising thought-based controls and/or voice-based controls.

A system and method for adaptive speech and biofeedback control of sexual stimulation devices. In an embodiment, the system and method involve receiving audio from a microphone, processing the audio through an automated speech detection engine to detect speech within the audio, matching the speech to a control command for a sexual stimulation device, generating a control signal for the sexual stimulation device based on the control command, receiving biometric data from a biometric sensor, and adjusting the control signals based on the biometric data before outputting the adjusted control signal for use in operating the sexual stimulation device. In some embodiments, the adjustment to the control signal is made automatically by a machine learning algorithm using the command and biometric data as inputs.

A portable automated life-saving system, comprising one or more sensors utilized for collecting data related to a patient's current medical condition and to transmit the collected data to a main computer; a main computer adapted with suitable hardware and software to process data, received from the one or more sensors, with respect to predefined medical conditions and corresponding life-saving treatment protocols, thereby to determine an initial life-saving treatment protocol to be delivered to the patient, and accordingly to operate a main controller configured to activates corresponding life-saving devices; a main controller adapted to be operated by the main computer, for controllably activating fastening means, and for controllably activating one or more life-saving devices for delivering life-saving treatment to the patient; two or more fastening means, controllably activated by the main controller for obtaining a firm attachment of the automated life-saving system to a patient; one or more life-saving devices controllably activated by the main controller for delivering life-saving treatment to the patient; one or more batteries. The portable automated life-saving system continuously monitors the evolving medical condition of a patient, and correspondingly adapts the given treatment, namely, the operation of the one or more life-saving devices.

Systems and methods for neurofeedback-triggered therapy for neurological conditions in accordance with embodiments of the invention are illustrated. One embodiment includes a neurofeedback-triggered therapy system, including a plurality of vibrotactile stimulators, a brain activity recorder, and a controller, including a processor, and a memory, the memory containing a neurofeedback application, where in order to condition a user to reduce the symptoms of a neurological condition on demand triggered by upregulating sensorimotor rhythm (SMR) activity, the neurofeedback application directs the processor to obtain brain activity data from the brain activity recorder, identify sensorimotor rhythm (SMR) spindles in the brain activity data, and provide vibrotactile Coordinated Reset (vCR) stimulation to a user using the plurality of vibrotactile stimulators when SMR spindles are identified, where the vCR stimulation reduces the symptoms of a neurological condition of the user.

A system and method for thought-based control of sexual stimulation devices using electroencephalography. The system and method involve a training phase and an operation phase. In an embodiment, the training phase comprises placing electrodes on the head of a person, measuring electrical signals produced by the person's brain via the electrodes while the user engages in one or more thought-based training tasks, associating patterns of electrical activity in the person's brain while performing the tasks with controls of the sexual stimulation device. In an embodiment, the operation phase comprises generating control signals for the sexual stimulation device based on the associations when the patterns of electrical activity are detected by the electrodes. In some embodiments, machine learning algorithms are used to detect the patterns of electrical activity and make the associations. In some embodiments, data from other biometric sensors is included in the associations.

A blood pressure lowering training device comprises a head frame unit corresponding to a user's head shape, an audio stimulation unit for broadcasting binaural beats with frequency following response to both ears of the user, a display unit including a display module for displaying a virtual image and blood pressure information and a blood pressure measurement module for measuring blood pressure, and a control unit electrically connected with the audio stimulation unit and the display unit, so that the hypertensive patient can perform a variety of adjustable blood pressure lowering training in one use process, and effectively improve the use intention of the hypertensive patient.

An auricular peripheral nerve field stimulator includes at least one therapy electrode configured for percutaneous insertion into an auricle of a human ear near at least one neurovascular bundle, and an electrical stimulation device electrically coupled to the at least one therapy electrode, the electrical stimulation device programmed to generate and deliver electrical stimulation signals, with defined stimulation parameters, to the percutaneously inserted at least one therapy electrode to stimulate at least one auricular peripheral nerve field within the auricle, the defined stimulation parameters including a defined signal amplitude, a defined pulse frequency, a defined pulse width, a defined duty cycle and a defined stimulation signal duration.

Automated CPR systems incorporating biological feedback can include an automated compression piston system, a data acquisition system, computer systems for running various control algorithms, ventilation control systems, and/or drug delivery systems. Automated CPR systems can be used as stand-alone systems for treating patients in cardiac arrest, or they can be used to administer pretreatment to a patient prior to defibrillation.

A system and method for voice-based control of sexual stimulation devices. In some configurations, the system and method involve receiving voice data, analyzing the voice data to detect spoken commands, and generating control signals based on the commands. In some configurations, the system and method involve receiving voice data, analyzing the voice data for non-speech vocalizations, detecting voice stress patterns, and generating control signals based on the detected patterns. In some configurations, the analyses of the voice data are performed by machine learning algorithms which may be trained on associations between speech and non-speech vocalizations of a user while the user engages in one or more voice-based training tasks, associating speech and non-speech vocalizations with controls of the sexual stimulation device. In some configurations, machine learning algorithms are used to make the associations. In some configurations, data from other biometric sensors is included in the associations.

A system and method for thought-based control of sexual stimulation devices using electroencephalography. The system and method involve a training phase and an operation phase. In an embodiment, the training phase comprises placing electrodes on the head of a person, measuring electrical signals produced by the person's brain via the electrodes while the user engages in one or more thought-based training tasks, associating patterns of electrical activity in the person's brain while performing the tasks with controls of the sexual stimulation device. In an embodiment, the operation phase comprises generating control signals for the sexual stimulation device based on the associations when the patterns of electrical activity are detected by the electrodes. In some embodiments, machine learning algorithms are used to detect the patterns of electrical activity and make the associations. In some embodiments, data from other biometric sensors is included in the associations.