A conformal patch device can be provided to a patient. The patch device can include sensors configured to be positioned over a chest of a patient. The sensors can include PPG sensors, ECG sensors, and SCG sensors. The conformal patch device can to adhere to a single continuous area of the chest. Some sensors may attached to a viscoelastic substrate to achieve mechanical isolation from other patch components. The conformal patch device can capture measurements from the sensor doing a time window sufficient enough to detect disordered breathing. The system can determine disordered breathing and related cardiorespiratory parameters during the time window for the patient using the sensor measurements.

A security platform architecture is described herein. A user identity platform architecture which uses a multitude of biometric analytics to create an identity token unique to an individual human. This token is derived on biometric factors like human behaviors, motion analytics, human physical characteristics like facial patterns, voice recognition prints, usage of device patterns, user location actions and other human behaviors which can derive a token or be used as a dynamic password identifying the unique individual with high calculated confidence. Because of the dynamic nature and the many different factors, this method is extremely difficult to spoof or hack by malicious actors or malware software.

A biometric waveform analysis system includes a wearable device having a sensor system and that is configured to be worn on a body of a subject, a metric output generator in communication with the sensor system, a waveform analysis engine in communication with the sensor system, and a control processor configured to control the sensor system, the metric output generator, and the waveform analysis engine. The sensor system includes one or more physiological sensors and motion sensors. The metric output generator includes logic that extracts at least one physiological parameter from the physiological data signal and extracts at least one motion parameter from the motion data signal. The waveform analysis engine includes waveform capture logic, normalization logic, contextual logic, and physiological assessment logic. The waveform capture logic receives the physiological data signal from the sensor system and separates the physiological data signal into a plurality of individual physiological waveforms.

The present disclosure generally relates to a system and a method of assessing the lungs of a patient using acoustic mapping to provide an image of the lung function and modifying therapy applied based on the information gathered.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of a patient, a memory, a user interface, and at least one processor coupled with the memory, the at least one sensor, and the user interface. The at least one processor is configured to determine whether the ambulatory medical device is within a predefined range of a reference location and to initiate location-specific processing in response to determining that the ambulatory medical device is within the predefined range. The location-specific processing includes at least one of issuing a notification and adapting the user interface.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

Apparatus and method are provided to collect and analyze heartbeat waveforms. In one novel aspect, the heartbeat waveforms are collected from wearable devices. In one embodiment, the wearable device collects heartbeat waveforms by attaching the device to the patient for a long period and sends the collected waveforms to a receiver through a wireless network. In another novel aspect, an application program is installed in a smart device to receive heartbeat waveforms from one or more wearable devices. The application program either relays the received waveform to a remote processing center or processes the data before sending. In another novel aspect, an analysis method compares received patient's current heartbeat waveform with historic data. In one embodiment, the historic data are stored in a cloud-based database. In another novel aspect, the remote processing center is an open platform data center, which takes in certified third party inputs.

Exemplary embodiments of the present disclosure are directed towards a medical device for assessing, and predicting and operating the user's health by capturing the user's vital signs in real time. The medical device comprises a plurality of electrodes and a plurality of sensors positioned on various finger sheaths, wrist portions, and hand portions. The various finger sheaths, the wrist portions, and the hand portions are configured to allow the plurality of electrodes to detect a plurality of electrical potentials on different surfaces of a user's body parts and the plurality of sensors to collect vital signs on different surfaces of a user's body parts. at least one processing device configured to contact with the plurality of electrodes and the plurality of sensors, the plurality of electrodes and the plurality of sensors configured to transmit the detected plurality of electrical potentials and the plurality of vital signs from the different surfaces of the user's body parts to the processing device. The processing device configured to store the plurality of electrical potentials and the plurality of vital signs and process the detected plurality of electrical potentials and the plurality of vital signs to assess a user's health and an end user device configured to receive the plurality of processed electrical potentials and the plurality of vital signs form the processing device through a network.

An implantable neurostimulator system including an electrical lead having formed thereon a pair of bipolar electrodes, the electrical lead is configured for placement of the pair of bipolar electrodes proximate protrusor muscles of a patient. The system also includes a pulse generator electrically connected to the electrical lead and configured to deliver electrical energy to the pair of bipolar electrodes, the pulse generator having mounted therein a sensor configured to detect one or more physiological parameters, a memory, a control circuit, and a telemetry circuit. The system also including a communications telemetry module (CTM) in communication with the telemetry circuit and configured to receive a data collected by the sensor and data related to delivery of electrical energy to the bipolar electrodes, and an external programmer in communication with the CTM and configured to display a user interface the data collected by the sensor and data related to delivery of electrical energy to the bipolar electrodes.

An oral appliance for treating sleep apnea in a user includes a mouthpiece configured for being positioned in an oral cavity of the user, and at least one pulse oximeter attached to the mouthpiece. According to an aspect, the pulse oximeter is configured to monitor actual oxygen saturation levels of hemoglobin of the user when the oral appliance is positioned in the oral cavity of the user. The oral appliance may include an additional sensor attached to the mouthpiece that includes at least one of an airflow sensor, a pressure sensor, a noise detector, and an actigraphy sensor.