Communication of parent physiological data to an infant may include a first interface device which includes a sensor to record physiological data associated with a heartbeat of a parent, a processor to receive the physiological data from the sensor, and a transceiver; a server which receives the physiological data from the transceiver, accesses an instance of the physiological data from a replay storage location during a loss of communication, assigns a unique identifier, processes the physiological data, modifies the physiological data to be within an allowable threshold or accesses physiological data within the allowable threshold when the physiological data is outside an allowable threshold, filters the physiological data to apply an effect, and transmits the physiological data based on the unique identifier; and a second interface device which includes a transceiver to receive the physiological data and a communication element to communicate the physiological data to the infant.

An embodiment activity state analysis device includes a measurement unit configured to measure a piece of biological information including a heart rate or a pulse rate of a user, a storage unit configured to store a plurality of the pieces of biological information measured in time series, a representative value calculation unit configured to acquire the plurality of the pieces of biological information measured when the user is resting from the storage unit and calculate a representative value, and an activity state calculation unit configured to calculate an activity state of the user by using the representative value calculated by the representative value calculation unit.

An embodiment activity state analysis device includes a measurement unit configured to measure a piece of biological information including a heart rate or a pulse rate of a user, a storage unit configured to store a plurality of the pieces of biological information measured in time series, a representative value calculation unit configured to acquire the plurality of the pieces of biological information measured when the user is resting from the storage unit and calculate a representative value, and an activity state calculation unit configured to calculate an activity state of the user by using the representative value calculated by the representative value calculation unit.

In one aspect, a multi modal body sensor monitoring and recording system includes a personal status monitor (PSM) that communicates user bio-sensor data to an SCP. The PSM includes a controller comprising a sensing face, an intermediary circuit, and a mounting face. The controller provides a sensor array of specified biosensors. The controller is mountable with an ECG patch. The PSM includes an ECG patch coupled with the controller. The controller is removably mounted via comprising a sensor patch comprising a flat piece of material with an array of sensors arranged on a sensing face of the sensor patch of the sensor patch that is designed with a receptacle to which the controller device is connected into the ECG patch. The ECG patch obtains an ECG data o the user that is passed to the controller. The controller electronically communicates the ECG data and the specified biosensor data to the PHI server. The PHI server queries one or more health provider records systems to obtain a set of electronic health records, of the user. The PHI server electronically communicates the set of electronic health records to a system control program (SCP) server. The SCP server uses the biosensor data collected by the PSM, along with the PHI from electronic health records, to construct a virtual model of an individual's quantifiable biological markers in real time.

In one aspect, a multi modal body sensor monitoring and recording system includes a personal status monitor (PSM) that communicates user bio-sensor data to an SCP. The PSM includes a controller comprising a sensing face, an intermediary circuit, and a mounting face. The controller provides a sensor array of specified biosensors. The controller is mountable with an ECG patch. The PSM includes an ECG patch coupled with the controller. The controller is removably mounted via comprising a sensor patch comprising a flat piece of material with an array of sensors arranged on a sensing face of the sensor patch of the sensor patch that is designed with a receptacle to which the controller device is connected into the ECG patch. The ECG patch obtains an ECG data o the user that is passed to the controller. The controller electronically communicates the ECG data and the specified biosensor data to the PHI server. The PHI server queries one or more health provider records systems to obtain a set of electronic health records, of the user. The PHI server electronically communicates the set of electronic health records to a system control program (SCP) server. The SCP server uses the biosensor data collected by the PSM, along with the PHI from electronic health records, to construct a virtual model of an individual's quantifiable biological markers in real time.

An example technique may include tracking motion of a user wearing the wearable device using at least first sensors of one or more sensors of the wearable device. The technique may also include tracking a physical state of the user using at least second sensors of the one or more sensors of the wearable device. The technique may also include determining whether an application of the wearable device has been launched. The technique may also include determining an action category of the user based at least in part on at least one of the motion of the user, the physical state of the user, or whether the application has been launched. The technique may also include collecting heartrate data of the user. The technique may also include categorizing the heartrate data based at least in part on the determined action category.

An example technique may include tracking motion of a user wearing the wearable device using at least first sensors of one or more sensors of the wearable device. The technique may also include tracking a physical state of the user using at least second sensors of the one or more sensors of the wearable device. The technique may also include determining whether an application of the wearable device has been launched. The technique may also include determining an action category of the user based at least in part on at least one of the motion of the user, the physical state of the user, or whether the application has been launched. The technique may also include collecting heartrate data of the user. The technique may also include categorizing the heartrate data based at least in part on the determined action category.

A process and unit for determining an estimate for a respiratory signal. Measured values are received, and a sum signal is generated, which is a superimposition of the respiratory signal to a cardiogenic signal. The unit detects heartbeats, and a respective heartbeat time period for each. An intermediate signal is calculated by compensating the influence of the cardiac activity on the sum signal. The unit determines an attenuation signal, which is an indicator of the average time curve of the contribution of the cardiogenic signal to the intermediate signal in a predefined reference heartbeat time period. An intermediate signal section is generated as a section of the intermediate signal in a heartbeat time period and intermediate signal sections are mapped to the reference heartbeat time period. The estimated respiratory signal is calculated with the use of the mapped intermediate signal sections and of the attenuation signal.

A process and unit for determining an estimate for a respiratory signal. Measured values are received, and a sum signal is generated, which is a superimposition of the respiratory signal to a cardiogenic signal. The unit detects heartbeats, and a respective heartbeat time period for each. An intermediate signal is calculated by compensating the influence of the cardiac activity on the sum signal. The unit determines an attenuation signal, which is an indicator of the average time curve of the contribution of the cardiogenic signal to the intermediate signal in a predefined reference heartbeat time period. An intermediate signal section is generated as a section of the intermediate signal in a heartbeat time period and intermediate signal sections are mapped to the reference heartbeat time period. The estimated respiratory signal is calculated with the use of the mapped intermediate signal sections and of the attenuation signal.

A process and unit for determining an estimate for a respiratory signal. Measured values are received, and a sum signal is generated, which is a superimposition of the respiratory signal to a cardiogenic signal. The unit detects heartbeats, and a respective heartbeat time period for each. An intermediate signal is calculated by compensating the influence of the cardiac activity on the sum signal. The unit determines an attenuation signal, which is an indicator of the average time curve of the contribution of the cardiogenic signal to the intermediate signal in a predefined reference heartbeat time period. An intermediate signal section is generated as a section of the intermediate signal in a heartbeat time period and intermediate signal sections are mapped to the reference heartbeat time period. The estimated respiratory signal is calculated with the use of the mapped intermediate signal sections and of the attenuation signal.