Classifications

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  • A61M60/148—Implantable pumps or pumping devices, i.e. the blood being pumped inside the patient's body implantable via, into, inside, in line, branching on, or around a blood vessel in line with a blood vessel using resection or like techniques, e.g. permanent endovascular heart assist devices
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  • A61M60/165—Implantable pumps or pumping devices, i.e. the blood being pumped inside the patient's body implantable in, on, or around the heart
  • A61M60/178—Implantable pumps or pumping devices, i.e. the blood being pumped inside the patient's body implantable in, on, or around the heart drawing blood from a ventricle and returning the blood to the arterial system via a cannula external to the ventricle, e.g. left or right ventricular assist devices
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  • A61M2230/00—Measuring parameters of the user
  • A61M2230/63—Motion, e.g. physical activity

Definitions

• High blood pressure is a common condition in which the long-term force of the blood against your artery walls is high enough that it may eventually cause health problems, such as heart disease. Blood pressure is determined both by the amount of blood your heart pumps and the amount of resistance to blood flow in your arteries. The more blood your heart pumps and the narrower your arteries, the higher your blood pressure.
• Hypertension is a chronic health condition in which the pressure exerted by the circulating blood upon the walls of blood vessels is elevated.
• the heart of a hypertensive person In order to ensure appropriate circulation of blood in blood vessels, the heart of a hypertensive person must work harder than normal, which increases the risk of heart attack, stroke and cardiac failure. Eating a healthy diet and exercising, however, can significantly improve blood pressure control and decrease the risk of complications. Efficient drug treatments are also available. It is therefore important to find persons with elevated blood pressures and monitor their blood pressure information on a regular' basis.
• wearable devices for monitoring body physiological parameters (e.g. blood pressure, heart rate (HR) pulse, body temperature, blood glucose level, movement patterns, etc.) noninvasively, continuously and/or intermittently for extended periods of time are becoming popular as a way to monitor and improve health.
• body physiological parameters e.g. blood pressure, heart rate (HR) pulse, body temperature, blood glucose level, movement patterns, etc.
• the present disclosure includes, in accordance with some embodiments, a system and method for blood pressure signal acquisition using a based pressure sensor array.
• a solution is provided for a non-inflatable, non-invasive, continuous blood pressure waveform and blood pressure acquisition system.
• the system is operative to combine signals from various sensing elements where the less accurate sensor elements are calibrated utilizing the more accurate sensor elements.
• one technique to acquire blood pressure is to use very sensitive pressure sensors implemented using sensitive pressure sensors, which could be implemented, for example, in Micro Electrical-Mechanical Systems (MEMS) by capacitive or resistive sensing means.
• MEMS Micro Electrical-Mechanical Systems
• Such a sensor carefully placed on the radial or ulnar artery can detect slight pressure changes through the skin, which, if carefully sampled and processed can yield a blood pressure signal, which can in turn be processed to yield actual systolic and diastolic continuous and or intermittent blood pressure readings.
• the diameter of a typical radial artery is only a few millimeters. Aligning a sensor pressure sensor, such that it is perpendicular and touching the skin over the radial artery can be challenging, especially in the context of a wearable device. According to some embodiments, the invention overcomes this difficulty by providing an array of sensors, e.g., linear, two dimensional, etc., whereby the sensors cover sufficient area of the wrist so that it is highly likely that at least one sensor will be optimally or close to optimally located on the radial or ulnar arteries.
• an array of sensors e.g., linear, two dimensional, etc.
• the invention overcomes this difficulty by including both capacitive (i.e. lower accuracy) and resistive (i.e. high accuracy) sensors in the sensor array.
• capacitive i.e. lower accuracy
• resistive i.e. high accuracy
• FIG. 1 is a diagram illustrating a first view of an example wearable device operative to measure a user's blood pressure, according to some embodiments
• FIG. 11 shows a high-level block diagram of a system in accordance with one preferred embodiment
• FIG. 13 shows a diagram of a method in accordance with some embodiments.
• the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
• a computer-usable or computer-readable medium may be any medium that can contain or store the program for use by or in connection with the instruction execution system, apparatus, or device.
• These computer program instructions may also be stored in a computer-readable medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
• the computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
• the device may be configured to operate in combination with a wrist worn device as described supra whereby the arm band device communicates wirelessly with the wrist worn device.
• the arm band device communicates wirelessly with the wrist worn device.
• raw sensor signal data may be communicated wirelessly from the arm band device to the wrist worn device where it is processed and a blood pressure measurements are displayed to the user on the wrist worn device.
• the pressure sensor array may comprise numerous different configurations.
• the invention is not limited to any one configuration as numerous configurations are contemplated. Several example configurations will now be presented.
• FIG. 4A A diagram illustrating a first embodiment of an example blood pressure sensor array, according to some embodiments, is shown in Figure 4A.
• the sensor array 12 comprises three pressure sensors.
• the three sensors are configured on the wrist strap such then when placed to a user's wrist, they will be positioned approximately on the radial artery.
• the device is configured to receive signals from all three sensors simultaneously.
• One of the signals may be selected as the blood pressure waveform for further processing or a composite signal made up of a weighted sum of all the signals may be used to generate the blood pressure waveform.
• FIG. 4C A diagram illustrating a third embodiment of an example blood pressure sensor array, according to some embodiments, is shown in Figure 4C.
• the pressure sensor array 17 on the wrist band 14 comprises a plurality of sensors 19 configured in a two dimensional (2D) array.
• the device is configured to receive signals from all sensors simultaneously.
• One of the signals may be selected as the blood pressure waveform for further processing or a composite signal made up of a weighted sum of all the signals may be used to generate the blood pressure waveform.
• Acquiring multiple signals from a plurality of pressure sensors arranged in a 2D array eliminates the problem of correct placement of the pressure sensor array.
• the individual pressure sensors making up an array may comprise different types of sensors.
• a first portion of the sensors may comprise capacitive pressure sensors which typically have low power consumption and low accuracy.
• a second portion of the sensors may comprise resistive pressure sensors which typically have high power consumption but better accuracy.
• the signal obtained from one or more of the resistive pressure sensors i.e. relatively higher accuracy sensors
• the signal from one of the pressure sensors in the array is selected as the blood pressure waveform used to derive blood pressure readings from.
• the signals from all other non-selected sensors is ignored or discarded.
• the sensor signals may be analyzed for any desired one or more quality metrics, e.g., SNR, RSSI, etc.
• the two techniques described supra may be combined where one or more sensor signals are selected based on any desired quality metric and these signals are weighted and combined to generate a composite blood pressure waveform.
• FIG. 6 A block diagram illustrating an example wearable device constructed in accordance with some embodiments, is shown in Figure 6.
• the wearable device generally referenced 70, comprises a wrist band sensor unit 72 and control unit 74 in communication with each other by digital bus 84.
• Wrist band sensor unit 72 comprises a plurality of pressure sensors 1 through N 78, each coupled to an analog to digital converter 80.
• the outputs of the ADCs are input to a multiplexer 82 which is provisioned to transmit all the input signals multiplexed onto digital bus 84.
• the signals output from all the sensors 78 are input to the control unit 74.
• FIG. 7 A block diagram illustrating an example circuit for generating a composite blood pressure waveform in accordance with some embodiments, is shown in Figure 7.
• the circuit generally referenced 110, comprises an adaptive weight algorithm block 118, multipliers 1 through N 114 and summer 116.
• N scaling factors are applied to the blood pressure waveform data samples 112 received from N pressure sensors.
• the blood pressure waveform data is input to multipliers 114 as well as the adaptive weight algorithm block 118.
• the composite blood pressure waveform 119 is also input to the adaptive weight algorithm.
• the algorithm is operative
• y is the output estimated blood pressure waveform signal; a; is the weight associated with the signal acquired from the i pressure sensor;
• the amplitudes of the signals can be estimated using any suitable well- known technique such as Root Mean Square estimation (RMS), Variance, etc.
• RMS Root Mean Square estimation
• Variance Variance

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• Health & Medical Sciences (AREA)
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• Computer Vision & Pattern Recognition (AREA)
• Psychiatry (AREA)
• Signal Processing (AREA)
• Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
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• 2018
  • 2018-07-17 KR KR1020207004460A patent/KR20200067831A/ko not_active Ceased
  • 2018-07-17 US US16/630,708 patent/US11986644B2/en active Active
  • 2018-07-17 BR BR112020005122-5A patent/BR112020005122A2/pt not_active Application Discontinuation
  • 2018-07-17 CN CN201880060203.6A patent/CN111107891A/zh active Pending
  • 2018-07-17 CA CA3070346A patent/CA3070346A1/en active Pending
  • 2018-07-17 EP EP18835720.6A patent/EP3655055A4/en not_active Withdrawn
  • 2018-07-17 JP JP2020502199A patent/JP2020528307A/ja active Pending
  • 2018-07-17 WO PCT/IL2018/050786 patent/WO2019016802A1/en not_active Ceased

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