Masimo Corporation

Bilal Muhsin

Ammar Al-Ali

Massi Joe E Kiani

Keith Ward Indorf

Anand Sampath

Chad A DeJong

Nicholas Evan Barker

Omar Ahmed

Sujin Hwang

Peter Scott Housel

Eric Karl Kinast

Sebastian T Frey

Benjamin C Triman

Jad Adel Wafeeq

Prashanth Rengaswamy Chandran

Emil Sultanov

Stephen Quong

Kirby Clark Dotson

Walter M Weber

Jerome Novak

Joy Iswanto

Raul Jimenez

Michael O'Reilly

Steve Coon

Prashanth Iyengar

Steven Egge

Richard Priddell

Ronald Keith Rumbaugh, Ii

Fahad Abdulrahman Alaql

Mihir Chinchalkar

Gregory A Olsen

Mohammad Usman

Valery G Telfort

James P Welch

Michael Lee

Sungwhan Cha

Naoki Kokawa

Atiyeh Ghoreyshi

Philip B Trinh

James Pishney

Michael O'reilly

Travis Gruber

Peter Koo

Tao Leopold Levy

Sampath Anand

Jihad Adel Wafeeq

A sensor system for monitoring patients is provided. The sensor system includes a wireless charging dock, one or more patient sensors, and a processing module. The patient sensor is configured to collect patient physiological data and send the data to the processing module. The processing module wirelessly transmits the patient physiological data to a patient monitor system. The wireless charging dock is wirelessly and removably coupled to the processing module to wirelessly provide power for the processing module. The wireless charging dock is magnetically coupled to the processing module.

Modular wireless physiological parameter system

Techniques for predicting fluid responsiveness or fluid unresponsiveness are described. A processor can determine a first prediction of fluid responsiveness or unresponsiveness based on a plethysmograph variability parameter associated with a plethysmograph waveform, and can determine a second prediction of fluid responsiveness or unresponsiveness based on a fluid responsiveness parameter that is associated with an elevation of one or more limbs of the patient. The processor can determine an overall prediction of fluid responsiveness or unresponsiveness based on the first and/or second predictions. Based on overall prediction, the processor can cause administration of fluids and/or termination of administration of fluids.

System to monitor and manage patient hydration via plethysmograph variability index in response to the passive leg raising

This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate.

System and method for monitoring respiratory rate measurements

A first medical device can receive a physiological parameter value from a second medical device. The second physiological parameter value may be formatted according to a protocol not used by the first medical device such that the first medical device is not able to process the second physiological parameter value to produce a displayable output value. The first medical device can pass the physiological parameter data from the first medical device to a separate translation module and receive translated parameter data from the translation module at the first medical device. The translated parameter data can be processed for display by the first medical device. The first medical device can output a value from the translated parameter data for display on the first medical device or an auxiliary device.

System for displaying medical monitoring data

A localized sound projection system can coordinate the sounds of speakers to simulate the placement of an auditory cue in a 3D space. The system can include a plurality of speakers configured to output auditory signals and a sound localization controller configured to control the plurality of speakers to coordinate the auditory signals to simulate an origination location of a patient alarm. The sound localization controller can determine adjusted auditory signals and control a plurality of speakers to output the plurality of adjusted auditory signals. A method for dynamically controlling speaker settings in a medical environment can include determining volume settings corresponding to a speaker, monitoring a level of ambient noise corresponding to a room of a patient, controlling the volume settings of the speaker to reduce or increase a sound level output of a speaker. A patient monitoring system can be configured to physically manipulate medical devices in response to audible commands. The system can receive a plurality of vocal commands from a user and can manipulate various settings after confirmation from a user.

Localized projection of audible noises in medical settings

A wearable device including at least one sensor configured to sense a physiological parameter of a user. The wearable device including a base housing and a removable housing attachable to the base housing. The base housing and the removable housing portions each including a battery and an electronic subsystem in communication with each other. The battery of the removable housing portion charges the battery of the base housing portion when the removable housing portion is attached to the base housing portion. A second embodiment includes two or more fitness trackers each having an enclosure. The enclosures of the two or more fitness trackers having complimentary shapes that form a unified enclosure when the enclosures are placed adjacently. In a third embodiment, a wearable device includes a first screen display and a second screen display. The second screen display is transparent in at least one operational mode of the wearable device.

Wearable physiological monitoring devices

A wireless adapter for a standalone medical device can include a socket housing at a first end of the wireless adapter along a longitudinal axis of the wireless adapter, the socket housing configured to receive and electrically connect with a wireless dongle. The adapter can further include a medical device connector at a second end of the wireless adapter opposite the first end. The medical device connector can electrically connect with a standalone medical device; receive patient data from the standalone medical device; and pass the patient data to the wireless dongle to enable the wireless dongle to wirelessly transmit the patient data to a medical network interface coupled to a patient monitoring hub.

System for displaying and controlling medical monitoring data

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

Medical monitoring hub

A multi-parameter patient monitoring device rack can dock a plurality of patient monitor modules and can communicate with a separate display unit. A signal processing unit can be incorporated into the device rack. A graphics processing unit can be attached to the display unit. The device rack and the graphic display unit can have improved heat dissipation and drip-proof features. The multi-parameter patient monitoring device rack can provide interchangeability and versatility to a multi-parameter patient monitoring system by allowing use of different display units and monitoring of different combinations of parameters. A dual-use patient monitor module can have its own display unit configured for displaying one or more parameters when used as a stand-alone device, and can be docked into the device rack when a handle on the module is folded down.

Modular multi-parameter patient monitoring device

A portable spot-check system configured to assess the validity of a measured physiological parameter. The spot-check device can take into consideration a variety of factors to determine whether a valid measurement exists. For instance, the considerations can include signal stability, interference, signal IQ, patient movement, sensor position, timing of that measurement, comparison to previous or acceptable measurements, cancellation of measurement by the patient, confidence of the measurement, etc. The spot-check device can track a number of valid measurements. In some instances, the spot-check device is configured to provide a specified number of available measurements. If a valid measurement is recorded, the spot-check device can decrement the remaining number of available measurements.

Spot check measurement system

A physiological patient monitoring system with a healthcare professional-facing interface is disclosed. The healthcare professional interface may only display by default the most critical non-confidential patient information. To access the full range of features in the system, clinicians can unlock the device. Once unlocked, clinicians can access all of a patient's treatment history, and all the data may be consolidated and presented intuitively.

Display layout and interactive objects for patient monitoring

A physiological patient monitoring system with a patient-facing interface is disclosed. The patient interface can be used by the patient to communicate with hospital staff without actually requesting attendance and can request attendance for specific purposes. The patient interface may also track patient treatment and inform patients of the details of their treatments.

Systems and methods are provided for machine learning based monitoring. Image data from a camera is received. On the hardware accelerator, a person detection model based on the image data is invoked. The person detection model outputs first classification result. Based on the first classification result, a person is detected. Second image data is received from the camera. In response to detecting the person, a fall detection model is invoked on the hardware accelerator based on the second image data. The fall detection model outputs a second classification result. A potential fall based on the second classification result is detected. An alert is provided in response to detecting the potential fall.

Machine learning based monitoring system

A patient monitor can diagnose whether its speaker is blocked, malfunctioning, or at a volume that is too low. For example, the monitor can include a processor that can diagnose the speaker by recording a microphone input signal. The processor can compare the microphone input signal to an expected alarm signal that should be output by the speaker. If the two do not match or reasonably correspond to one another, then the processor may increase the volume of the alarm to determine whether doing so can overcome an obstruction, noise, or potential malfunction. The microphone can again detect the speaker output, and the processor can again make another comparison or analysis of the input with the speaker output. If the speaker output as detected via the microphone is still insufficiently loud, then the patient monitor may output an indication that the speaker has a problem.

Patient monitor alarm speaker analyzer

An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Alarm notification system

Growing community of inventors

San Clemente, CA, United States of America

Bilal Muhsin