A biological recording device used to monitor biological electrical activity and a method of recording neural signals. In a preferred embodiment, the biological recording device is a neural probe. The biological recording device includes a probe body with a probe shank and a recording platform that uses a delta (Δ) modulator and a delta sigma analog to digital converter (ΔΣ ADC). The Δ modulator and the ΔΣ ADC form a Δ-ΔΣ analog front end (AFE) architecture for processing biological electrical activity. A large dynamic range (DR) of neural signals, including local field potentials (LFPs) and action potentials (APs) for example, can be compressed and subsequently reconstructed.

A system and method for communicating data and signals through the Medical Implant Communication Service Band using a repeater or base station in the proximity to an implantable device within a patient is disclosed. In a preferred embodiment, the device is capable for early detection and monitoring of congestive heart failure in a patient. Impedance measurements, or other health parameters depending on the type of implantable device or sensor used, are sent using a bi-directional low-power radio operating in the MICS band to a nearby base station which may provide signal processing and analysis. The base station may have an interface to one or more communications networks to connect to a remote location. The system and method of the present invention permits a healthcare professional to monitor an ambulatory patient's condition at a remote location and to program the implanted device.

A method of compressing data output from one or more accelerometers configured to be transported, carried or worn by a user is provided. Acceleration values indicative of the movement of the user are measured at a first frequency and values representative of the measured acceleration values are generated at a second frequency, which is lower than the first frequency. The step of generating comprises: defining a plurality of time windows, each time window containing a plurality of measured acceleration values; and applying a transformation to the measured acceleration values within each time window to generate a plurality of transformed values. For each time window, storing at least one of said plurality of transformed values and/or one or more parameters associated therewith.

A signal representing physiological information may include information related to respiration. A patient monitoring system may generate a plurality of autocorrelation sequences from the signal and combine the autocorrelation sequences to generate a combined autocorrelation sequence. The combined autocorrelation sequence may be analyzed to identify one or more peaks that may correspond to respiration information. Respiration information such as respiration rate may be determined based on the one or more peaks.

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to methods of sleep diagnosis and treatment. The sleep disorder treatment system of the present invention can use a diagnosis device to perform various forms of analysis to determine or diagnose a subject's sleeping disorder or symptoms of a subject's sleep disorder, and using this analysis or diagnosis can with or in some embodiments without human intervention treat the subject either physically or chemically to improve the sleeping disorder or the symptoms of the sleeping disorder. The diagnostic part of the system can use many different types of sensors and methods for diagnosing the severity of the symptoms of or the sleep disorder itself. The treatment part of the system can use a device to physically or chemically treat the subject's symptoms or sleep disorder itself.

A monitor recorder-implemented method for electrocardiography value encoding and compression is provided. A plurality of codes are maintained, each associated with an electrocardiography value range. A series of electrocardiography values is obtained. A serial accumulator is set to a predetermined value; each of the obtained electrocardiography values from the series of the obtained electrocardiography values is processed, including: performing a mathematical operation on that obtained electrocardiography value and the serial accumulator; identifying the code within the range associated with which a result of the mathematical operation falls; representing that obtained electrography value with the identified code; and adjusting the serial accumulator by a value derived from the range associated with the identified code. Each of the represented codes are into a sequence in a non-volatile memory.

A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.

Systems and methods for informing and evaluating neuromodulation therapy are disclosed herein. A system configured in accordance with embodiments of the present technology can include, for example, a guidewire having a proximal portion, a distal portion configured to be positioned at a target site in a blood vessel of a human patient, and a sensing element positioned along the distal portion. The sensing element can be a pressure sensing element, a flow sensing element, an impedance sensing element, and/or a temperature sensing element. The system can further include a controller configured to obtain one or more measurements related to a physiological parameter of the patient via the sensing element. Based on the measurements, the controller can determine the physiological parameter and compare the parameter to a predetermined threshold. Based on the comparison, the controller and/or the operator can assess the likelihood of the patient benefiting from neuromodulation therapy.

A method and system for R-R interval measurement of a user are disclosed. In a first aspect, the method comprises detecting an electrocardiogram (ECG) signal of the user. The method includes performing QRS peak detection on the ECG signal to obtain a low resolution peak and searching near the low resolution peak for a high resolution peak. The method includes calculating the R-R interval measurement based upon the high resolution peak. In a second aspect, a wireless sensor device comprises a processor and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to carry out the steps of the method.

An implantable medical device includes an electronic processing device configured for processing a physiological signal, a memory, and a communication device for communicating with an external device. The processing device includes a coding module for coding the physiological signal to obtain an output signal for transmission by the communication device to the external device. The coding module is configured to encode the physiological signal using at least one fixed Huffman code table stored in the memory to obtain the output signal.