This invention is directed to devices and methods for assessing a patient. The devices have at least one impedance measuring element functionally connected to a programmable element, programmed to analyze an impedance measurement, and to provide an assessment of at least one respiratory parameter of the patient. Preferably the device includes electronics which aid in calibration, signal acquisition, conditioning, and filtering.

An electronic device according to various embodiments comprises: a bio-signal detection sensor configured to acquire first and second biometric information on an object outside the electronic device; and a processor, wherein the processor can be configured to: acquire the first and second biometric information by using the bio-signal detection sensor; configure a first variance, in which the first biometric information is changed, and a second variance, in which the second biometric information is changed; determining a state of the object related to the sleep on the basis of at least a part of the first variance and the second variance; and estimate a sleep latency related to the object on the basis of at least a part of the state.

An electronic device according to various embodiments comprises: a bio-signal detection sensor configured to acquire first and second biometric information on an object outside the electronic device; and a processor, wherein the processor can be configured to: acquire the first and second biometric information by using the bio-signal detection sensor; configure a first variance, in which the first biometric information is changed, and a second variance, in which the second biometric information is changed; determining a state of the object related to the sleep on the basis of at least a part of the first variance and the second variance; and estimate a sleep latency related to the object on the basis of at least a part of the state.

A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

A system and a method for analyzing a behavior or an activity of an object comprising the steps of obtaining movement data associated with a motion of the object for a predetermined period of time; processing the movement data to obtain physiological parameters associated with the motion of the object; and determining a behavior or an activity of the object based on the obtained physiological parameters over the predetermined period of time.

The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

A CPR system includes a retention structure to retain the patient's body, and a compression mechanism to perform CPR compressions to the patient's chest. The CPR system further includes a processor to control the compression mechanism, and thus the performance of the CPR compressions. In embodiments, the CPR system compresses at a rate or frequency that is purposely sub-optimal for circulation at least some of the time, and especially when it is detected that the patient has regained consciousness. An advantage can be that the patient may thus faint again, and therefore perceive less of the unpleasant experience of the mechanical chest compressions that the CPR system continues to perform on them as it preserves them alive.

A CPR system includes a retention structure to retain the patient's body, and a compression mechanism to perform CPR compressions to the patient's chest. The CPR system further includes a processor to control the compression mechanism, and thus the performance of the CPR compressions. In embodiments, the CPR system compresses at a rate or frequency that is purposely sub-optimal for circulation at least some of the time, and especially when it is detected that the patient has regained consciousness. An advantage can be that the patient may thus faint again, and therefore perceive less of the unpleasant experience of the mechanical chest compressions that the CPR system continues to perform on them as it preserves them alive.

Methods and systems for monitoring a subject in a sleep or resting state are provided herein. The methods can include obtaining signals from at least one of one or more microphones, one or more pyroelectric infrared (PIR) sensors and one or more accelerometer sensors. The obtained signals can be automatically transmitted to a processor. Thereafter, using the processor, one or more patterns in the obtained signals can be detected to determine one or more physiological and/or biological parameters including at least one of heart rate, breathing rate, wheezing, sleep quality and/or sleep architecture. Outputs of the determined parameters may be generated upon crossing preset thresholds.