An illustrative cochlear trauma management system determines, intraoperatively during an insertion procedure to introduce an electrode lead of a cochlear implant system into a cochlea of a recipient, an electrical potential evoked in response to acoustic stimulation applied to the recipient as part of a diagnostic test. The system estimates a depth of the electrode lead within the cochlea for the diagnostic test and accesses recipient attribute data that represents a hearing attribute of the recipient. The recipient attribute data is generated based on preoperative analysis of the recipient. Based on the electrical potential and the recipient attribute data, the system intraoperatively determines a likelihood that the electrode lead is inflicting trauma on the cochlea at the estimated depth. The system then performs an action based on the likelihood that the electrode lead is inflicting the trauma on the cochlea. Corresponding systems and methods are also disclosed.

An illustrative cochlear trauma management system determines, intraoperatively during an insertion procedure to introduce an electrode lead of a cochlear implant system into a cochlea of a recipient, an electrical potential evoked in response to acoustic stimulation applied to the recipient as part of a diagnostic test. The system estimates a depth of the electrode lead within the cochlea for the diagnostic test and accesses recipient attribute data that represents a hearing attribute of the recipient. The recipient attribute data is generated based on preoperative analysis of the recipient. Based on the electrical potential and the recipient attribute data, the system intraoperatively determines a likelihood that the electrode lead is inflicting trauma on the cochlea at the estimated depth. The system then performs an action based on the likelihood that the electrode lead is inflicting the trauma on the cochlea. Corresponding systems and methods are also disclosed.

The invention refers to a system for delivering a machine-learning based behavioral intervention for the care of withdraw symptoms such as Neonatal Abstinence Syndrome in neonates. The system obtains biosensor or behavioral information about a patient from a wearable device on the patient and makes a determinative recommendation or takes appropriate action based on its evaluation. The biosensor and behavioral information is collected by way of a wearable device over progressive periods of time. When the data is indicative of a need for treatment because the patient is exhibiting symptoms or indicating relapse traits, this information is sent to the system for evaluation. When the data is indicative of a need for treatment, action is taken in the form of a recommendation or when the device is configured to support direct treatment, direct action can be taken to modify alleviate the patient.

The invention refers to a system for delivering a machine-learning based behavioral intervention for the care of withdraw symptoms such as Neonatal Abstinence Syndrome in neonates. The system obtains biosensor or behavioral information about a patient from a wearable device on the patient and makes a determinative recommendation or takes appropriate action based on its evaluation. The biosensor and behavioral information is collected by way of a wearable device over progressive periods of time. When the data is indicative of a need for treatment because the patient is exhibiting symptoms or indicating relapse traits, this information is sent to the system for evaluation. When the data is indicative of a need for treatment, action is taken in the form of a recommendation or when the device is configured to support direct treatment, direct action can be taken to modify alleviate the patient.

Described herein is an implantable device having a sensor configured to detect an amount of an analyte, a pH, a temperature, strain, or a pressure; and an ultrasonic transducer with a length of about 5 mm or less in the longest dimension, configured to receive current modulated based on the analyte amount, the pH, the temperature, or the pressure detected by the sensor, and emit an ultrasonic backscatter based on the received current. The implantable device can be implanted in a subject, such as an animal or a plant. Also described herein are systems including one or more implantable devices and an interrogator comprising one or more ultrasonic transducers configured to transmit ultrasonic waves to the one or more implantable devices or receive ultrasonic backscatter from the one or more implantable devices. Also described are methods of detecting an amount of an analyte, a pH, a temperature, a strain, or a pressure.

Described herein is an implantable device having a sensor configured to detect an amount of an analyte, a pH, a temperature, strain, or a pressure; and an ultrasonic transducer with a length of about 5 mm or less in the longest dimension, configured to receive current modulated based on the analyte amount, the pH, the temperature, or the pressure detected by the sensor, and emit an ultrasonic backscatter based on the received current. The implantable device can be implanted in a subject, such as an animal or a plant. Also described herein are systems including one or more implantable devices and an interrogator comprising one or more ultrasonic transducers configured to transmit ultrasonic waves to the one or more implantable devices or receive ultrasonic backscatter from the one or more implantable devices. Also described are methods of detecting an amount of an analyte, a pH, a temperature, a strain, or a pressure.

Described herein is an implantable device configured to detect impedance characteristic of a tissue. In certain exemplary devices, the implantable device comprises (a) an ultrasonic transducer configured to emit an ultrasonic backscatter encoding information relating to an impedance characteristic of a tissue based on a modulated current flowing through the ultrasonic transducer; (b) an integrated circuit comprising (i) a variable frequency power supply electrically connected to a first electrode and a second electrode; (ii) a signal detector configured to detect an impedance, voltage, or current in a circuit comprising the variable frequency power supply, the first electrode, the second electrode, and the tissue; and (iii) a modulation circuit configured to modulate the current flowing through the ultrasonic transducer based on the detected impedance, voltage, or current; and the first electrode and the second electrode configured to be implanted into the tissue in electrical connection with each other through the tissue. Further described are systems including one or more implantable devices and an interrogator for operating the implantable device, methods of measuring impedance characteristic of a tissue in a subject, and methods of monitoring or characterizing a tissue in a subject.

Described herein is an implantable device configured to detect impedance characteristic of a tissue. In certain exemplary devices, the implantable device comprises (a) an ultrasonic transducer configured to emit an ultrasonic backscatter encoding information relating to an impedance characteristic of a tissue based on a modulated current flowing through the ultrasonic transducer; (b) an integrated circuit comprising (i) a variable frequency power supply electrically connected to a first electrode and a second electrode; (ii) a signal detector configured to detect an impedance, voltage, or current in a circuit comprising the variable frequency power supply, the first electrode, the second electrode, and the tissue; and (iii) a modulation circuit configured to modulate the current flowing through the ultrasonic transducer based on the detected impedance, voltage, or current; and the first electrode and the second electrode configured to be implanted into the tissue in electrical connection with each other through the tissue. Further described are systems including one or more implantable devices and an interrogator for operating the implantable device, methods of measuring impedance characteristic of a tissue in a subject, and methods of monitoring or characterizing a tissue in a subject.

The present invention discloses systems and methods for mapping gastric activity with an electrode array patch disposed over an abdomen skin surface of a patient. A method may include measuring electrical signals associated with gastric activity of the patient with the electrode array patch over a predetermined time period and concurrently receiving patient symptom information, determining one or more normalized biometrics from the measured electrical signals, correlating the one or more normalized biometrics and the patient symptom information, determining a measure of correlation, determining a measure of temporal association, and determining a gastrointestinal phenotype of the patient based at least in part on the measure of correlation and the measure of temporal association. The present invention advantageously enables mapping of gut motility patterns at high spatial resolution for the identification of gastric disorders and provides biomarkers of pathophysiology which include correlations with symptom severity profiles.

The present invention discloses systems and methods for mapping gastric activity with an electrode array patch disposed over an abdomen skin surface of a patient. A method may include measuring electrical signals associated with gastric activity of the patient with the electrode array patch over a predetermined time period and concurrently receiving patient symptom information, determining one or more normalized biometrics from the measured electrical signals, correlating the one or more normalized biometrics and the patient symptom information, determining a measure of correlation, determining a measure of temporal association, and determining a gastrointestinal phenotype of the patient based at least in part on the measure of correlation and the measure of temporal association. The present invention advantageously enables mapping of gut motility patterns at high spatial resolution for the identification of gastric disorders and provides biomarkers of pathophysiology which include correlations with symptom severity profiles.