A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.

Embodiments of the present invention include systems and methods that relate to pulse oximetry. Specifically, one embodiment includes an oximeter sensor comprising a light emitting element configured to emit light, a light detector configured to detect the light, and a memory chip having a built-in trimmed resistor, the trimmed resistor having a resistance value that is detectable by a monitor.

A portable source medical device determines communication links of a network presently available to effect communications with a target component when the source medical device is at each of a multiplicity of geographical locations. A profile is generated comprising information about each available communication link and attributes associated with each available communication link for each geographical location. When the source medical device is at a particular geographical location, a profile associated with the particular geographical location is accessed and a network connection is established between the source medical device and the target component using a communication link associated with the particular profile. Medical information is transferred between the source medical device and the target component via the communication link associated with the particular profile.

A subcutaneous and cutaneous electrocardiography monitor configured for self-optimizing ECG data compression is provided. The monitors include a housing, an electrocardiographic front end circuit, a memory, and a micro-controller configured to: obtain a series of electrode voltage values based on the sensed electrocardiographic signals; use a plurality of selection schemes to choose one or more of a plurality of compression algorithms associated with each of the selection scheme for testing; test the selected compression algorithms including applying the compression algorithms chosen using each of the selection schemes to a segment of the electrode voltage series; analyze results of the testing; select one or more compression algorithms chosen using one of the selection schemes for compressing at least a portion of the electrode voltage series based on the analysis; obtain a compression of at least the portion of the electrode voltage series; and store the compression within the memory.

The invention discloses a radio wave transducer for the detection of spinal segmental dysfunction, comprising two radio wave emitters and at least one switch; the two radio wave emitters are electrically connected to the switch; each of the two radio wave emitters has a RLC circuit consisting of a resistor, an inductor and a capacitor, one end of the resistor is electrically connected to one end of the inductance, the other end of the inductance is electrically connected to one end of the capacitor, the other end of the resistor is electrically connected to one end of the switch, the other end of the capacitor is electrically connected to the other end of the switch. This invention also discloses a method for detection of spinal segmental dysfunction.

A heartrate monitor detects heartbeats in a test signal. A local heartrate and an energy of acceleration are associated with the detected heartbeats. Detected heartbeats are included or excluded from a test set of heartbeats based on the local heartrate and energy of acceleration associated with the respective heartbeats. Anomalous heartbeats in the test set of heartbeats are detected using a sparse approximation model. The heartrate monitor may detect heartbeats in a training heartbeat signal. A reference heart rate and an energy of acceleration are associated with detected beats of the training heartbeat signal and selectively included in a set of training data based on the heart rate and energy of acceleration associated with the detected beat in the training heartbeat signal. A dictionary of the sparse representation model may be generated using the set of training data.

Disclosed herein are methods and systems for receiving an encoded data packet, one or more activation commands, and a communication identifier, decoding the received data packet, validating the decoded received data packet, and executing one or more routines associated with the respective one or more activation commands.

A medical system includes a network; one or more medical data collection appliances coupled to the network, each appliance transmitting data conforming to an interoperable format; and a server coupled to the network to store data for each individual in accordance with the interoperable format.

A ballistic body armor damage sensing system having a body armor ballistic plate including at least one ballistic layer and at least one damage sensing layer coupled to the at least one ballistic layer and including a plurality of electrically conductive members which are positioned throughout said damage sensing layer, wherein when a fired projectile impacts the body armor ballistic plate and damages one or more of the electrically conductive members, the damaged electrically conductive members exhibit a measurable change in electrical resistance.

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.