A system for deploying an electrode array at a target location through a hole formed in the patient's cranium. The system includes an array of electrodes attached to a substrate and an inserter attached to the substrate and/or the array of electrodes. The inserter, substrate and array of electrodes are configured into a first compressed state and are positioned within the lumen of a cannula. Using the cannula, the system is inserted through the hole, the cannula is then removed, and the inserter is used to transition the substrate and electrode array from the first compressed state to a second uncompressed state, thereby deploying the array of electrodes at the target location.

The present invention relates to a flexible electrode carrier for neurostimulation, in particular for Cortical and/or Deep Brain Stimulation, having a proximal end and a distal end, wherein the flexible electrode carrier comprises at least two zones each comprising a plurality of electrodes.

The present invention relates to a flexible electrode carrier for neurostimulation, in particular for Cortical and/or Deep Brain Stimulation, having a proximal end and a distal end, wherein the flexible electrode carrier comprises at least two zones each comprising a plurality of electrodes.

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.

Systems, methods, and computer program products identify arrhythmias experienced by a patient. A system includes an external wearable heart monitoring device for continuous and long-term monitoring of a patient that includes electrocardiogram (ECG) electrodes and circuitry to sense surface ECG activity and provide ECG channel(s) producing ECG signal(s), a non-transitory computer-readable medium including an arrhythmia classifier including neural network(s), and processor(s). The neural network(s) are trained based on a historical collection of ECG signal portions with annotation data including at least one annotation for each ECG signal portion and based on weight data including a weight for each annotation based on the annotator thereof. The processor(s) receive the ECG signal(s), monitor the ECG signal(s) to detect at least one arrhythmia event based on the arrhythmia classifier, and transmit at least one communication based on the arrhythmia event(s) to a remote computer system.

Systems, methods, and computer program products identify arrhythmias experienced by a patient. A system includes an external wearable heart monitoring device for continuous and long-term monitoring of a patient that includes electrocardiogram (ECG) electrodes and circuitry to sense surface ECG activity and provide ECG channel(s) producing ECG signal(s), a non-transitory computer-readable medium including an arrhythmia classifier including neural network(s), and processor(s). The neural network(s) are trained based on a historical collection of ECG signal portions with annotation data including at least one annotation for each ECG signal portion and based on weight data including a weight for each annotation based on the annotator thereof. The processor(s) receive the ECG signal(s), monitor the ECG signal(s) to detect at least one arrhythmia event based on the arrhythmia classifier, and transmit at least one communication based on the arrhythmia event(s) to a remote computer system.

A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M?N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple ?.sub.t=(U.sub.1, . . . , U.sub.N).sub.t in a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k?1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M?N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple ?.sub.t=(U.sub.1, . . . , U.sub.N).sub.t in a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k?1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

Described herein are implantable devices configured to emit an electrical pulse. An exemplary implantable device includes an ultrasonic transducer configured to receive ultrasonic waves that power the implantable device and encode a trigger signal; a first electrode and a second electrode configured to be in electrical communication with a tissue and emit an electrical pulse to the tissue in response to the trigger signal; and an integrated circuit comprising an energy storage circuit. Also described are systems that include one or more implantable device and an interrogator configured to operate the one or more implantable devices. Further described is a closed loop system that includes a first device configured to detect a signal, an interrogator configured to emit a trigger signal in response to the detected signal, and an implantable device configured to emit an electrical pulse in response to receiving the trigger signal. Further described are computer systems useful for operating one or more implantable devices, as well as methods of electrically stimulating a tissue.