Koninklijke Philips Corporation N.v.

Renesas Electronics Corporation

Mitsubishi Electric Research Laboratories, Inc.

Dong Wang

Dagnachew Birru

Jun Yang

Monisha Ghosh

Hongqiang Zhai

Francesco Vicario

Nicolas Wadih Chbat

Antonio Albanese

Delroy Smith

Nikolaos Karamolegkos

Yue Shang

Jinyun Zhang

David Hillary Evans

Hongyuan Zhang

Andreas F Molisch

Maulin Dahyabhai Patel

Daqing Gu

Limei Cheng

A mechanical ventilation device () includes a mechanical ventilator. At least one airway sensor () is configured to measure at least one of airway pressure and airway air flow as a function of time for a patient on the mechanical ventilator. At least one microprocessor () is programmed to analyze at least one of airway pressure and airway air flow measured by the airway sensor to detect a spontaneous respiration anomaly in respiratory muscle pressure as a function of time generated by a patient on the mechanical ventilator. A display component () is configured to display an indication of a spontaneous respiration anomaly detected by the anomaly detection component.

Anomaly detection device and method for respiratory mechanics parameter estimation

In respiratory monitoring, a breathing cycle detector () detects a breath interval in airway pressure and/or flow data. A respiratory parameters estimator and validator () asynchronously fits the airway pressure and airway flow data to an equation of motion of the lungs relating airway pressure and airway flow to generate asynchronously estimated respiratory parameters for the breath interval, using a sliding time window that is not synchronized with the breath interval. The asynchronously estimated respiratory parameters for the breath interval are validated using at least one physiological plausibility criterion defined with respect to the breath interval. Responsive to failure of the validation, the airway pressure and airway flow data are synchronously fitted to the equation of motion of the lungs to generate synchronously estimated respiratory parameters for the breath interval. The synchronous fitting is performed in a time window aligned with the breath interval.

Breath by breath reassessment of patient lung parameters to improve estimation performance

Respiratory variables are estimated on a per-breath basis from airway pressure and flow data acquired by airway pressure and flow sensors (). A breath detector () detects a breath interval. A per-breath respiratory variables estimator () fits the airway pressure and flow data over the detected breath interval to an equation of motion of the lungs relating airway pressure, airway flow, and a single-breath parameterized respiratory muscle pressure profile () to generate optimized parameter values for the single-breath parameterized respiratory muscle pressure profile. Respiratory muscle pressure is estimated as a function of time over the detected breath interval as the single-breath parameterized respiratory muscle pressure profile with the optimized parameter values, and may for example be displayed as a trend line on a display device () or integrated () to generate Work of Breathing (WoB) for use in adjusting settings of a ventilator ().

Simultaneous estimation of respiratory mechanics and patient effort via parametric optimization

A medical ventilator () performs a method including: receiving measurements of pressure of air inspired by or expired from a ventilated patient () operatively connected with the medical ventilator; receiving measurements of air flow into or out of the ventilated patient operatively connected with the medical ventilator; dividing a breath time interval into a plurality of fitting regions (); and simultaneously estimating respiratory system's resistance and compliance or elastance, and respiratory muscle pressure in each fitting region by fitting to a time series of pressure and air flow samples in that fitting region. In one approach, the fitting includes parameterizing the respiratory muscle pressure by a continuous differentiable function, such as a polynomial function, over the fitting region. In another approach, the fitting is to an equation of motion of the lungs in each fitting region, while monotonicity constraints and inequalities bounding at least the respiratory muscle pressure P(t) and respiratory system's resistence R and compliance C are applied to the respiratory muscle pressure in each region.

Simultaneous estimation of respiratory parameters by regional fitting of respiratory parameters

A multi-band communication system includes a plurality of transmit channels, where each transmit channel transmits data streams through a single sub-band, and a plurality of receive channels, where each receive channel receives data streams of a single sub-band. According to one embodiment of the invention, each transmit channel and its respective receive channel are configured with a different set of channel codes to encode and decode the data. The set of channel codes is determined by an adaptive modulation coding controller based on a condition of the link between a transmit channel and a receive channel.

Efficient multi-band communication system

A system and a method maintain a medical body area network (MBAN). Devices of the MBAN are communicated with over one or more channels of the MBAN. The one or more channels include a primary channel, and each of the devices is assigned to one of the one or more channels. Further, a duty cycle of each of the one or more channels is continuously monitored. In response to the duty cycle of the primary channel meeting or exceeding a duty cycle limit, a device of the devices is moved to a secondary channel.

Multi-channel communication scheme for medical body area network (MBAN) to meet duty cycle regulation

manage medical body area network (MBAN) channels to provide differentiated A system () and method () quality of service (QoS) based on patient acuity level. An available set of channels to be used by a plurality of MBAN systems () is identified (). Channel access rules describing a set of channels for each of a plurality of MBAN priorities are generated (). The plurality of MBAN priorities are based on patient acuity level. The channel access rules are communicated () to the plurality of MBAN systems (). An MBAN system () of the plurality of MBAN systems () uses a channel from the set of channels corresponding to an MBAN priority assigned to the MBAN system (). A hub device () configured to use the system () and method () is also provided.

MBAN channel management scheme using patient acuity information

A medical body area network (MBAN) system comprises network nodes intercommunicating via short range wireless communication. A primary user database contains information pertaining to usage of a restricted spectrum by primary users wherein the MBAN systems are secondary users of the restricted spectrum. An electronic key generation engine comprises a digital processing device configured to generate an electronic key (E-key) indicative of whether the MBAN system is allowed to use the restricted spectrum based on content of the primary users database. An MBAN application server is configured to distribute the E-key to the MBAN system. The MBAN system includes a spectrum control sub-module comprising a digital processor configured to select an operating channel or frequency for the short range wireless communication based at least in part on whether the E-key authorizes the MBAN system to use the restricted spectrum.

Medical body area network (MBAN) with key-based control of spectrum usage

A system () and a method maintain a medical body area network (MBAN) (). Devices () of the MBAN () are communicated () with over one or more channels of the MBAN (). The one or more channels include a primary channel, and each of the devices () is assigned to one of the one or more channels. Further, a duty cycle of each of the one or more channels is continuously monitored (). In response to the duty cycle of the primary channel meeting or exceeding a duty cycle limit, a device () of the devices () is moved () to a secondary channel.

A medical system includes one or more MBAN devices that acquire and communicate patient data. The medical system further including one or more medical body area network (MBAN) systems, each MBAN system including the one or more MBAN devices that communicate the patient data with a hub device via short-range wireless communication, the communication of the patient data via the short-range wireless communication being within a predefined spectrum. The hub device receives patient data communicated from the one or more MBAN devices and communicates with a central monitoring station via a longer range communication. The one or more MBAN devices transmit an association request to the hub device on one or more auxiliary channels to associate each MBAN device with the MBAN system, the auxiliary channels being outside the predefined spectrum.

Method to use auxiliary channel to achieve fast and power-efficient association in wireless networks

A coordinator switching method and corresponding apparatus () are provided. One or more candidate coordinators () to replace a coordinator () of a medical body area network (MBAN) () are identified. The coordinator () is associated with one or more devices () of the MBAN (). One of the identified candidate coordinators () is selected as a destination coordinator. The destination coordinator () is requested to replace the coordinator () and allocate resources for the devices (). Acceptance of the request and data identifying the allocated resources for the devices () is received from the destination coordinator (). The devices () are instructed to associate with the destination coordinator () using the allocated resources.

Coordinator switching method for medical body area networks

A medical system comprises: a medical body area network (MB AN) system () comprising a plurality of network nodes () intercommunicating via short range wireless communication, the MBAN system () including a spectrum control sub-module () that selects an operating channel or frequency for the short range wireless communication; and a radio frequency identification (RFID) tag () disposed with the MBAN system. The spectrum control sub-module selects an operating channel or frequency from a spectrum comprising a combination of (1) a default spectrum and (2) a restricted spectrum authorized for use by the MBAN system conditional upon the MBAN system being within a medical facility as indicated by readings of the RFID tag. The spectrum control sub-module selects an operating channel or frequency from a spectrum comprising only the default spectrum conditional upon the MBAN system not being within the medical facility as indicated by readings of the RFID tag.

Medical body area network (MBAN) with automatic in-facility spectrum use enforcement

A medical body area network (MBAN) system () comprises network nodes () intercommunicating via short range wireless communication. A primary user database () contains information pertaining to usage of a restricted spectrum by primary users wherein the MBAN systems are secondary users of the restricted spectrum. An electronic key generation engine () comprises a digital processing device configured to generate an electronic key (E-key) () indicative of whether the MBAN system is allowed to use the restricted spectrum based on content of the primary users database. An MBAN application server () is configured to distribute the E-key to the MBAN system. The MBAN system includes a spectrum control sub-module () comprising a digital processor configured to select an operating channel or frequency for the short range wireless communication based at least in part on whether the E-key authorizes the MBAN system to use the restricted spectrum.

A multi-band communication system (). The system includes a plurality of transmit channels (--N), wherein each transmit channel (-X) transmits data streams through a single sub-band; and a plurality of receive channels (--N), wherein each receive channel (-X) receives data streams of a single sub-band. In an embodiment of the invention, each transmit channel (-X) and its respective receive channel (-X) are configured with a different set of channel codes to encode and decode the data. The set of channel codes is determine by an adaptive modulation coding (AMC) controller (-X) based on the condition of the link between a transmit channel (-X) and a receive channel (-X).

A medical system () including a remote patient monitoring system () and an medical body area network (MBAN) system. The remote patient monitoring system () is configured to generate and/or update a patient-specific configuration () for the MBAN system (). The MBAN system () is controlled by the patient-specific configuration () and includes one or more sensor devices () and a hub device (). The sensor devices () are configured to measure physiological parameters of a patient (). The hub device () is configured to at least one of: report the physiological data from the sensor devices () to the remote patient monitoring system (); and locally monitor the physiological data of the sensor devices () to generate alarms.

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Ossining, NY, United States of America

Dong Wang