Smart infant monitoring system and method
A sleep system including an analysis unit configured to be in data communication with a plurality of sensors, the sensors being selected from one or more sound sensors, biological sensors, environmental sensors, motion sensors, or a combination thereof.
1 . An infant analysis system, the system comprising:
a plurality of sensors positioned relative to a sleep device to collect data with respect to an infant when positioned within the sleep device, wherein the plurality of sensors include a sound sensor to collect sound data, a weight sensor to collect weight data with respect to the infant when positioned within the sleep device, and a motion sensor; and
an analysis unit configured to perform cry analyses that analyze the data collected by the plurality of sensors to identify cry behavior states and generate predictive response instructions that control stimulus outputs by the sleep device or a peripheral device to soothe and transition the infant from the cry behavior states, wherein, with respect to the cry analyzes, the analysis unit is configured to:
analyze the collected sound data corresponding to cries together with the weight data including comparison of weight collected over time to a current weight,
generate predictive response instructions to cause one or both of the sleep device or peripheral device to output stimuli, the output stimuli comprising initiation or modification of one or more of: temperature control modulated by a temperature control device, motion of a platform of the sleep device modulated by a motor, sound output from a speaker, or lighting modulated by lights,
compare changes to cry behavior state characteristics of respective cry behavior state determinations following execution of predictive response instructions, and
output a notification to a user interface that the infant is hungry when a cry state analysis informed by the comparison of changes to cry behavior state characteristics following previous cry behavior state determinations indicates the infant is in a hungry cry behavior state indicative of a cry behavior state that will not be soothed by the output stimuli.
2 . The system of claim 1 , wherein the cry analysis further includes correlation of the sound data corresponding to the cries and weight data with additional non-sound data collected by the plurality of sensors selected from motion data, vitals data, environmental data, sleep cycle data, wake/sleep data, or combination thereof.
3 . The system of claim 1 , wherein the characteristics of the sound data analyzed includes amplitude, frequency, wavelength, duration, or combination thereof.
4 . The system of claim 3 , wherein the characteristics of the sound data analyzed includes sound patterns, cadence, or both.
5 . The system of claim 3 , wherein the cry analysis starts with a baseline cry to differentiate between cries and grunts.
6 . The system of claim 1 , wherein the sound analysis module is configured to generate a cry algorithm that is personalized to the infant and use the cry algorithm in the cry analyses.
7 . The system of claim 6 , wherein the cry algorithm is configured to identify values or value ranges in measured characteristics based on previous analyses that are specific to the infant and its cry behavior states.
8 . The system of claim 1 , wherein the cry analysis further includes analysis of motion data, vital data, or combinations thereof collected by the plurality of sensors.
9 . The system of claim 8 , wherein the cry analysis includes the analysis of motion data collected by a motion sensor, and wherein the analysis of the motion data includes identification of intensity of kicking or other motions of the infant.
10 . The system of claim 8 , wherein, when the cry analysis identifies grunting in the sound data corresponding to the cries and determines if similar grunting sounds have been associated with one or more levels of hunger states, sleep states, tired states, content states, bored states, unwell states, or other behavioral states in previous cry analyses.
11 . The system of claim 1 , wherein the cry analysis further includes analysis of motion data collected by a motion sensor related to a movement of the infant during collection of the sound data corresponding to the cries, and wherein the movement corresponds to leg movement, eye movement, arm movement, body movement, or head movement.
12 . The system of claim 11 , wherein the analysis of the motion data includes analyzing rate, duration, pattern, and/or distance of the movement.
13 . The system of claim 1 , wherein the cry analysis is further configured to distinguish between whether the infant is unwell/ill, uncomfortable, content, bored, or tired.
14 . The system of claim 1 , wherein the cry analysis further includes analysis of motion data collected by the motion sensor related to a movement of the infant during collection of the sound data corresponding to the cries, and wherein the movement corresponds to movement of feet, toes, mouth, hands, or fingers.
15 . The system of claim 1 , wherein the notification includes a suggested amount or duration of feeding.
16 . The system of claim 1 , wherein the user interface is accessible to a user to specify a desired behavior state and the system is configured to provide a suggested feeding schedule along with one or more additional instructions to transition the infant to the desired behavioral state.
17 . The system of claim 16 , wherein the suggested feeding schedule includes an amount, duration, and timing of feeding to transition the infant to the desired behavioral state.
18 . The system of claim 16 , wherein the one or more additional instructions include a setting with respect to a sleep device and/or peripherals of the sleep device to transition the infant to the desired behavioral state.
19 . The system of claim 1 , wherein the comparison of changes to cry behavior state characteristics are taken from multiple time points after initiation of output stimuli.
20 . The system of claim 1 , wherein the comparison of changes to cry behavior state characteristics are taken from multiple ranges of time after initiation of output stimuli.