Sweat contains many of the same biomarkers, chemicals, or solutes that are carried in blood and can provide significant information enabling one to diagnose illness, health status, exposure to toxins, performance, and other physiological attributes even in advance of any physical sign. Furthermore, sweat itself, the action of sweating, and other parameters, attributes, solutes, or features on, near, or beneath the skin can be measured to further reveal physiological information. Of the other physiological fluids used for bio monitoring (e.g., blood, urine, saliva, tears), sweat has arguably the least predictable sampling rate in the absence of technology. However, with proper application of technology, sweat can potentially outperform other non-invasive or less invasive biofluids in predictable sampling.
Despite its potential, the state of art in biological monitoring through sweat sensing is in need of additional devices and methods to properly determine sweat rates. An accurate measure of sweat rate may prove critical for a number of sweat sensing device applications, including the determination of total body fluid loss, determination of analyte concentrations in sweat, establishment of chronologically assured sampling rates, estimates of sweat sensing device operational lifespan, or determining a degree of sweat concentration with respect to a sweat analyte, among others.
While techniques for measuring sweat rate are known in the art, such as the volumetric sweat rate devices disclosed in PCT/US17/42677 and U.S. Ser. No. 15/653,494, which are hereby incorporated by reference in their entirety, such approaches face challenges due to fluid flow continuity. For example, a volumetric sweat rate sensor employs a channel with defined volume that receives a biofluid sample from the skin. The device measures time required for the fluid front to engage pairs of co-planar electrodes, and then uses the channel volume between electrode pairs to generate a flow rate. Such measurements are vulnerable to interruptions in fluid flow, since the sweat sample must remain cohered as it wets into the channel and engages with the electrode pairs. This requirement is particularly challenging in a wearable system subject to acceleration related to body movement, which can generate enough force to break the front of the fluid. As a result, multiple failure modes are possible, including missed electrodes, which cause reduced temporal resolution; false-positive electrode engagement, which overestimates flow rates; and wicking along the channel wall, which can corrupt all device measurements.
Another sweat rate sensing modality, as disclosed in PCT/US2018/52176 measures discrete drops of sweat as they are attracted by a current and wicked away. The disclosed invention improves upon such devices by providing a simplified sensing modality, and in some embodiments, redundancy though the use of multiple modalities. In addition, at least one humidity-based sweat rate sensor is also known in the art, see, U.S. Pat. No. 5,131,390, Sakaguchi, et al., however, this device is complex, requires the use of dehumidified air, and does little to translate measurements into physiologically meaningful information.
What is needed, therefore, are alternative devices and methods that can provide reliable determination of sweat rate in a simple, wearable device.
Embodiments of the disclosed invention provide wearable devices that use a humidity sensor to measure sweat rate generated from an area of skin. A sensing chamber is continuously filled with a sweat sample, which forms a droplet and alters the humidity measured within the chamber. Once the sweat sample droplet expands to the edge of the chamber, the droplet contacts a wick and is drawn away, so the chamber can fill with a subsequent droplet. The device uses a droplet volume and the time required to reach a maximum humidity to calculate a sweat rate. A pump is used to draw old sweat sample out of the wick to allow extended device operation. Some embodiments also include capacitive sensors to perform back up measurements. Another set of embodiments includes alternatively shaped sensing chambers configured to reduce sample volumes or improve function. A method for determining sweat rate based on humidity sensor measurements is also included.
The disclosed invention will be further appreciated in light of the following descriptions and drawings in which:
As used herein, “sweat” means a biofluid that is primarily sweat, such as eccrine or apocrine sweat, and may also include mixtures of biofluids such as sweat and blood, or sweat and interstitial fluid, so long as advective transport of the biofluid mixtures (e.g., flow) is primarily driven by sweat.
“Sweat sensor” means any type of sensor that measures a state, presence, flow rate, solute concentration, or solute presence, in absolute, relative, trending, or other ways in sweat. Sweat sensors can include, for example, potentiometric, amperometric, impedance, optical, mechanical, antibody, peptide, aptamer, or other means known by those skilled in the art of sensing or biosensing.
“Analyte” means a substance, molecule, ion, or other material that is measured by a sweat sensing device.
“Measured” can imply an exact or precise quantitative measurement and can include broader meanings such as, for example, measuring a relative amount of change of something. Measured can also imply a qualitative measurement, such as ‘yes’ or ‘no’ type measurements.
“Chronological assurance” means the sampling rate or sampling interval that assures measurement(s) of analytes in sweat in terms of the rate at which measurements can be made of new sweat analytes emerging from the body. Chronological assurance may also include a determination of the effect of sensor function, potential contamination with previously generated analytes, other fluids, or other measurement contamination sources for the measurement(s). Chronological assurance may have an offset for time delays in the body (e.g., a well-known 5 to 30-minute lag time between analytes in blood emerging in interstitial fluid), but the resulting sampling interval (defined below) is independent of lag time, and furthermore, this lag time is inside the body, and therefore, for chronological assurance as defined above and interpreted herein, this lag time does not apply.
“Analyte-specific sensor” means a sensor specific to an analyte and performs specific chemical recognition of the analyte's presence or concentration (e.g., ion-selective electrodes (“ISE”), enzymatic sensors, electro-chemical aptamer based sensors, etc.). Sensors could also be optical, mechanical, or use other physical/chemical methods which are specific to a single analyte. Further, multiple sensors can each be specific to one of multiple analytes.
“Sweat sensor data” means all of the information collected by sweat system sensor(s) and communicated via the system to a user or a data aggregation location.
“Correlated aggregated sweat sensor data” means sweat sensor data that has been collected in a data aggregation location and correlated with outside information such as time, temperature, weather, location, user profile, other sweat sensor data, or any other relevant data.
“Sweat sampling rate” means the effective rate at which new sweat, or sweat solutes, originating from the sweat gland or from skin or tissue, reaches a sensor that measures a property of sweat or its solutes. Sweat sampling rate, in some cases, can be far more complex than just sweat generation rate. Sweat sampling rate directly determines, or is a contributing factor in determining chronological assurance. Times and rates are inversely proportional (rates having at least partial units of 1/seconds), therefore a short or small time required to refill a sweat volume can also be said to have a fast or high sweat sampling rate. The inverse of sweat sampling rate (1/s) could also be interpreted as a “sweat sampling interval”. Sweat sampling rates or intervals are not necessarily regular, discrete, periodic, discontinuous, or subject to other limitations. Like chronological assurance, sweat sampling rate may also include a determination of the effect of potential contamination with previously generated sweat, previously generated solutes, other fluid, or other measurement contamination sources for the measurement(s). Sweat sampling rate can also be in whole or in part determined from solute generation, transport, advective transport of fluid, diffusion transport of solutes, or other factors that will impact the rate at which new sweat or sweat solutes reach a sensor and/or are altered by older sweat or solutes or other contamination sources. Sensor response times may also affect sampling rate.
“Sweat generation rate” or “sweat rate” means the rate at which sweat is generated by the sweat glands themselves. Sweat generation rate is typically measured by the flow rate from each gland in nL/min/gland. In some cases, the measurement is then multiplied by the number of sweat glands from which the sweat is being sampled. For example, assuming 100 active glands/cm2, if a sweat collector covered an area of 1 cm2 and detected 100 nL of sweat per minute, the device would determine a sweat rate of 1 nL/min/gland, and 100 nL/min/cm2, both of which can be extrapolated to a total body sweat rate.
“Measured” may mean an exact or precise quantitative measurement and can include broader meanings such as, for example, measuring a relative amount of change of something. Measured can also mean a binary measurement, such as ‘yes’ or ‘no’ type measurements.
“Sweat volume” means the fluidic volume in a space that can be defined multiple ways. Sweat volume may be the volume that exists between a sensor and the point of generation of sweat, or between a sensor and a solute moving into or out of sweat from the body or from other sources. Sweat volume can include the volume that can be occupied by sweat between the sampling site on the skin and a sensor on the skin, where the sensor has no intervening layers, materials, or components between it and the skin; or between the sampling site on the skin and a sensor on the skin where there are one or more layers, materials, or components between the sensor and the sampling site on the skin. Sweat volume may refer to the sweat volume of multiple integrated components, or used in description of the sweat volume for single component or a subcomponent, or in the space between a device, or device component, and skin.
“Microfluidic components” means channels in polymer, textiles, paper, or other components known in the art of microfluidics for guiding movement of a fluid or at least partial containment of a fluid. This has served as a background for the present invention, including background technical invention needed to fully appreciate the present invention, which will now be summarized.
The disclosed invention includes a novel design for a humidity sensor-based sweat rate sensor which is not reliant on the generation of bulk fluid flow.
To clarify the proper numerical values or representations of sweat sampling rate and therefore chronological assurance, sweat generation rate and sweat volumes will be described in detail. From Dermatology: an illustrated color text, 5th ed., the maximum sweat generated per person per day is 10 L, which on average is 4 μL, per gland maximum per day, or about 3 nL/min/gland. This is about 20× higher than the minimum sweat generation rate. The maximum stimulated sweat generation rate according to Buono 1992, J. Derm. Sci. 4, 33-37, “Cholinergic sensitivity of the eccrine sweat gland in trained and untrained men,” the maximum sweat generation rate by pilocarpine stimulation is about 4 nL/min/gland for untrained men and 8 nL/min/gland for trained (exercising often) men. Sweat stimulation data from “Pharmacologic responsiveness of isolated single eccrine sweat glands,” by K. Sato and F. Sato, Am. Physiological Society, Jul. 30, 1980, suggests a sweat generation rate up to about 5 nL/min/gland is possible with stimulation, and several types of sweat stimulating substances are disclosed (the data was for extracted and isolated monkey sweat glands, which are very similar to human ones). For simplicity, we can assume for calculations in the present disclosure (without so limiting the disclosure), that the minimum sweat generation rate is about 0.1 nL/min/gland, and the maximum sweat generation rate is about 5 nL/min/gland, which is about a 50× difference between the maximum and minimum rates.
Based on the assumption of a sweat gland density of 100/cm2, a sensor that is 0.55 cm in radius (1.1 cm in diameter) would cover about 1 cm2 area, or approximately 100 sweat glands. Next, assume a sweat volume under a skin-facing sensor (space between the sensor and the skin) of 100 μm average height or 100E-4 cm, and that same 1 cm2 area, which provides a sweat volume of 100E-4 cm3 or about 100E-4 mL or 10 μL of volume. With the maximum sweat generation rate of 5 nL/min/gland and 100 glands, it would require a 20 minutes to fully refresh the sweat volume (using first principles/simplest calculation only). With the minimum sweat generation rate of 0.1 nL/min/gland and 100 glands, it would require 1000 minutes or ˜17 hours to refresh the sweat volume. Because the flow is not entirely centered, according to Sonner, et al., in Biomicrofluidics, 2015 May 15; 9(3):031301. doi: 10.1063/1.4921039, the time to fully refresh the sweat volume (i.e., new sweat replaces all old sweat) could be 6× longer or more. For slow sweat flow rates, back-diffusion of analytes and other confounding factors could make the effective sampling interval even larger. Clearly, conventional wearable sweat sensing approaches with large sweat volumes and slow sampling rates would find continuous sweat sample monitoring to be a significant challenge.
Sweat stimulation, or sweat activation, can be achieved by known methods. For example, sweat stimulation can be achieved by simple thermal stimulation, chemical heating pad, infrared light, by orally administering a drug, by intradermal injection of drugs such as carbachol, methylcholine or pilocarpine, and by dermal introduction of such drugs using iontophoresis, by sudo-motor-axon reflex sweating, or by other means. A device for iontophoresis may, for example, provide direct current and use large lead electrodes lined with porous material, where the positive pole is dampened with 2% pilocarpine hydrochloride or carbachol and the negative one with 0.9% NaCl solution. Sweat can also be controlled or created by asking the device wearer to conduct or increase activities or conditions that cause them to sweat.
One skilled in the art will recognize that the various embodiments may be practiced without one or more of the specific details described herein, or with other replacement and/or additional methods, materials, or components. In other instances, well-known structures, materials, or operations are not shown or described in detail herein to avoid obscuring aspects of various embodiments of the invention. Similarly, for purposes of explanation, specific numbers, materials, and configurations are set forth herein in order to provide a thorough understanding of the invention. Furthermore, it is understood that the various embodiments shown in the figures are illustrative representations and are not necessarily drawn to scale.
Reference throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, material, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention, but does not denote that they are present in every embodiment. Thus, the appearances of the phrases “in an embodiment” or “in another embodiment” in various places throughout this specification are not necessarily referring to the same embodiment of the invention. Further, “a component” may be representative of one or more components and, thus, may be used herein to mean “at least one.”
Certain embodiments of the invention show sensors as simple individual components. It is understood that many sensors require two or more electrodes, reference electrodes, or additional supporting technology or features that are not captured in the description herein. Sensors are preferably electrical in nature, but may also include optical, chemical, mechanical, or other known biosensing mechanisms. Sensors can be in duplicate, triplicate, or more, to provide improved data and readings. Sensors may be referred to by what the sensor is sensing, for example: a sweat sensor; an impedance sensor; a fluid volume sensor; a sweat generation rate sensor; and a solute generation rate sensor. Certain embodiments of the disclosed invention show sub-components of what would be fluid sensing devices with more sub-components needed for use of the device in various applications, which are obvious (such as a battery), and for purpose of brevity and focus on inventive aspects are not explicitly shown in the diagrams or described in the embodiments of the invention. As a further example, many embodiments of the invention could benefit from mechanical or other means known to those skilled in wearable devices, patches, bandages, and other technologies or materials affixed to skin, to keep the devices or sub-components of the skin firmly affixed to skin or with pressure favoring constant contact with skin or conformal contact with even ridges or grooves in skin, and are included within the spirit of the disclosed invention.
The disclosed sweat sensing device also includes computing and data storage capability sufficient to operate the device, which incorporates the ability to conduct communication among system components, to perform data aggregation, and to execute algorithms capable of generating notification messages. The device may have varying degrees of onboard computing capability (i.e., processing and data storage capacity). For example, all computing resources could be located onboard the device, or some computing resources could be located on a disposable portion of the device and additional processing capability located on a reusable portion of the device. Alternatively, the device may rely on portable, fixed or cloud-based computing resources.
With reference to
In fluidic communication with the inlet 262 is a humidity sensing chamber 282. Within the humidity sensing chamber 282 is one or more humidity sensors 220 (one is shown). The humidity sensing chamber is adjacent to, or surrounded by a wick 230, see
A droplet formation area, meaning the floor of the sensing chamber surrounding the inlet, may be coated with various materials known in the art of microfluidics to achieve desired flow results. For example, the chamber surface may have a hydrophobic coating that promotes the formation of a sweat sample droplet within the sensing chamber. As a result, the droplet could form in a substantially spherical shape before reaching the wick and being removed. Wetting of the droplet formation area should be avoided so that capillary flow is not established to wick the sweat sample droplet out of the sensing chamber prematurely. The droplet formation area must be large enough to allow a droplet of sufficient size to form and persist in the sensing chamber long enough to be accurately measured by the humidity sensor. This area will depend on the saturation vapor pressure of water (as determined by an Arcien Buck equation,
and the capabilities of the humidity sensor, e.g., the time and % humidity resolutions of the sensor.
A boundary of the dissipation volume 284 is created by a membrane 290. The membrane may be, e.g., a selectively permeable membrane, a vapor porous membrane, an osmosis membrane, a dialysis membrane, a track-etch membrane, or other suitable material that allows the passage of moisture out of the dissipation volume. The membrane spans a dimension of the enclosure 280, and isolates a portion of the enclosure to comprise a pump 236. The pump also includes an absorbent material, e.g., a desiccant, paper, an absorbent hydrogel, or other material suitable for drawing biofluid out of the wick 230 and/or the dissipation volume 284. Some embodiments also include a pump humidity sensor 222 within the pump. Some embodiments may include one or more analyte-specific sensors (not shown), e.g., ion-selective electrode sensors, electrochemical aptamer based sensors, amperometric, or enzymatic sensors. Other embodiments include one or more secondary sensors (not shown), which may be, e.g., a temperature sensor, a volumetric sweat rate sensor, a micro-thermal flow rate sensor, a discrete droplet volume system (as disclosed in PCT/US2018/52176), a galvanic skin response sensor (GSR), a sweat conductivity sensor, or impedance or capacitance sensors for skin contact measurement.
In operation, the disclosed sweat rate measurement device will receive a sweat sample from the skin 12 that moves generally as depicted by the arrow 14, and passes through the inlet 262 and into the humidity sensing chamber 282. The humidity sensing chamber has a fixed volume, which at the beginning of a sampling cycle is filled with air and ambient water vapor, and substantially devoid of sweat. Humidity sensors typically report relative humidity, which is governed by the equation
where E is the actual vapor density or measured humidity
where mH
and then dividing by the time required to reach peak humidity from the previous minimum value. Alternatively, a standard droplet volume can be determined or assumed based on factors such as inlet geometry and the surface tension of sweat. This standard droplet volume may then be used with the timing of peak and minimum humidity measurements to determine a sweat rate. To discern peak and minimum humidity values, the humidity sensor measurements must be taken with adequate frequency. For example, assume a maximum sweat rate, e.g., 500 nL/min for a 1 cm2 collection area, and a 10 μL droplet size. At this rate, the droplet would reach maximum size prior to being wicked away, and the humidity sensor would measure a peak value, every 20 minutes. Therefore, humidity measurements would need to occur at least every 10 minutes. Sampling rates may be optimized to provide sufficient resolution while optimizing storage, computing and power resources on the device.
Some embodiments may include one or more temperature sensors as secondary sensors. Such temperature sensors may be configured to measure an ambient temperature, a skin temperature, or a device internal temperature. These temperature measurements may be used to inform device humidity calculations, or alternatively, the device may use external temperature or humidity measurements.
To move from the measured sweat rate to a total body sweat rate, or a sweat rate per gland, the device accounts for the known sampling area under the sweat collector. This area represents a known proportion of body surface area, and contains an approximate number of sweat glands. Total body sweat rates and per-gland sweat rates can be determined or refined in a number of ways, including accounting for generalized characteristics, such as average sweat gland density of the device mounting location, the individual's body mass index, the individual's gender, or other factors. Alternatively, the device could account for specific characteristics of the individual based on a user profile, which may include actual sweat gland density, more precise measurements of body surface area, or the use of data collected over time on the individual's sweat rate characteristics.
With further reference to
The pump humidity sensor 222 monitors the humidity in the pump 236, and will report to the device user in the event that the pump becomes saturated with sweat. At the point of saturation of the pump, the useable lifespan of the device is complete. The pump humidity sensor 222 may also be used to inform chronologically assured sweat sampling rates. For example, as the humidity increases in the pump 236, pump humidity will gradually converge with humidity measurements from the main humidity sensor 220. As this process occurs, the chronologically assured sampling interval will increase, meaning that as the device loses capability to remove old sweat from the wick, the device will be able to take fewer readings that measure new sweat entering the device.
With reference to
In various different embodiments, the insulator 450 may be configured to partially or completely cover the wick 430. The insulator 450 may also function as a vapor barrier, or may also function as or in place of the membrane 390 of
Multiple configurations of the device with capacitive sensors are possible and contemplated, and provide several advantages to the operation of the disclosed invention. For example, when used in conjunction with the humidity sensor, the capacitive sensor as depicted in
With reference to
With reference to
With reference to
The above-described configurations represent a basic foundation for either a simple device or a more complex device. Some embodiments of the disclosed invention may therefore include additional materials, components, designs, or other features for operation, as long as the device uses at least one humidity sensor to measure sweat rate.
This has been a description of the present invention along with a preferred method of practicing the present invention, however the invention itself should only be defined by the appended claims.
This application claims priority to PCT/US19/23665, filed Mar. 22, 2019, and U.S. Provisional Application No. 62/647,013, filed Mar. 23, 2018; and has specification that builds upon PCT/US16/36038, filed Jun. 6, 2016; PCT/US17/42677 and U.S. Ser. No. 15/653,494, filed Jul. 18, 2017; and PCT/US2018/52176, filed Sep. 21, 2018, the disclosures of which are hereby incorporated by reference herein in their entirety.
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/US19/23665 | 3/22/2019 | WO | 00 |
Number | Date | Country | |
---|---|---|---|
62647013 | Mar 2018 | US |