I understand what you were saying, but I reject that it's a good idea.  Aside from the fact that you'd have to calculate out all that stuff, and 35% may or may not be enough, you're also losing a lot of things, like the ability to collect unemployment insurance in most cases, corporate insurance (as in GCL, E&amp;O etc, not just health insurance contributions), etc.

Well being a 1099 taxed as an S-Corp (everyone responding seems to like to ignore this despite the fact that I spelled it out) is literally one form as far as the government is concerned, and immediately gives better FICA tax abilities (who wouldn't want to save ~15% on some of their earnings), especially if you have one or more employees.  Managing even a full S-Corp is actually very easy, and plenty of companies will handle things like payroll or retirement contributions in a very inexpensive way.If this is still the case - then he lied to Sansa when he told her that his main motivation is to sit the Iron Throne with her by his side. Which is possible, given that he IS in fact a master manipulator. If this is the case, then the audience still doesn't know what LF truly wants either, and worse, Sansa *thinks* that she does know, and she'll probably try to act on it at some point, which will ultimately fail because LF played her. I hope this is not the case, but it's so GRRM/GOT/D&amp;D... it's like, who knows :PHe is such an incredibly written character. But then I say that and think "But so is Zenobia!" Ha I just equally admire them. It's also one of my favorites bc it's so funny and sweet and sad and has lots of cool action. Just a great story. Their flirting was perfect and I just loved how it all developed with them &gt;!like they had immediate attraction but very little trust and they just got deeper and deeper into each other. And i know exactly the boat scene youre describing bc ive skipped to it several times. It's intense perfection!!&lt; 

Agh it's just so good, time for a rereadAn improved sensor (102) for physiology monitoring in mobile devices, wearables, security, illumination, photography, and other devices and systems uses broadband light (114) transmitted to a target (125) such as the ear, face, or wrist of a living subject. Some of the scattered light returning from the target to detector (141) is passed through narrowband spectral filter set (155) to produce multiple detector regions, each sensitive to a different wavelength range. Data from the detected light is spectrally analyzed to computationally partition the analyzed data into more than one compartment of different temporal or physiological characteristics (such as arterial bloodstream, venous bloodstream, skin surface, and tissue), and into more than one component compound (such as oxygenated hemoglobin, water, and fat), allowing a measure of physiology of the subject to localized to one compartment, thereby reducing the effects of body motion, body position, and sensor movement that can be localized to other physiological compartments or components. In one example, variations in components of the bloodstream over time such as oxyhemoglobin and water are determined based on the detected light, and localized to remove skin surface scattering and reflection, and to minimize changes in the venous bloodstream caused by impact and motion, resulting in an arterial bloodstream signal with an improved signal to noise for the cardiac arterial pulse. The same sensor can provide identifying features of type or status of a tissue target, such as heart rate or variability, respiratory rate, calories ingested or expended, hydration status, or even confirmation that the tissue is alive. Monitoring devices and systems incorporating the improved sensor, and methods for analysis, are also disclosed.
This application claims the benefit of, and priority to, U.S. Provisional Pat. Appn. No. 61/908,926, filed Nov. 26, 2013, U.S. Provisional Pat. Appn. No. 61/970,667, filed Mar. 26, 2014, and U.S. Provisional Pat. Appn. No. 61/989,140, filed May 6, 2014, U.S. Provisional Pat. Appn. No. 62/050,828, filed Sep. 16, 2014, U.S. Provisional Pat. Appn. No. 62/050,900, filed Sep. 16, 2014, U.S. Provisional Pat. Appn. No. 62/050,954, filed Sep. 16, 2014, U.S. Provisional Pat. Appn. No. 62/053,780, filed Sep. 22, 2014, U.S. Provisional Pat. Appn. No. 62/054,873, filed Sep. 24, 2014, the entire contents of each of which is incorporated herein in their entirety by this reference.
The present invention relates generally to a method for sensing and analysis that allows motion and distance correction for optical physiology monitoring sensors that enable accurate medical grade physiology monitoring at a distance (e.g., not in contact with the subject) and during movement (e.g., during exercise). More particularly, the method provides for extracting spectral features from a living body of variations in hemoglobin and water content of the bloodstream analytically separated from the spectral features of tissue and blood movement related to distance and movement, all detected noninvasively using broadband light from ambient sources (sunlight, room light), or broadband light or from a solid-state broadband white LED. Enabling device embodiments provide a narrowband-filter coated multi-element photodiode sensor for collecting the spectral information used in the method. Systems incorporating or practicing the improved physiology sensing are also disclosed.
A distance and movement insensitive approach would have particular benefit in mobile and remote sensing, such as fitness monitoring using loose fit bracelets, but can be used in a wide variety of approaches such as turning on a phone in response to the presence of a hand or face, detecting heart rates of anyone within an image sensor's field of view, triggering an alarm in response to human tissue but not canine tissue, or illuminating a room light in response to the detection of normal human physiology such as human hemoglobin or a pulse.
However, the traditional method for both consumer-grade or medical-grade physiology-detection is a device (such as an accelerometer, an airflow or stretch receptor, an electrical probe, and optical sensor) placed on the body, and secured to maintain physical contact with the subject. For example, breathing deeply expands the abdomen as the diaphragm is pulled into the chest cavity, and a chest respiratory sensor strapped to the skin or stuck in place using sticky electrode pads detects the physical movement or the diaphragm's electrical activity. Alternatively, for heart monitoring, an oximeter taped to the skin or placed and held securely in place under a watch can inject light through tissue to collect optical data related to the pulsatile changes in the tissue due to blood pulsing in the arteries, veins, and capillaries.
Oximetry is one area of medical monitoring in which data is largely collected optically, and is well known in the art the form of pulse oximeters (medically introduced in the 1980s) and tissue oximeters (medically introduced in the late 1990s to 2000s). These devices typically require reliable and constant tissue contact in order to collect reliable spectral data from the subject. Oximeters are subject to interference with movement or room light. In fact, most commercial devices stop working altogether when the subject is moving, running, or exercising.
What is common to these traditional approaches is that they are dependent on a physical contact with the subject.
Conventional systems have drawbacks when used for the continuous monitoring of ambulatory or exercising subjects. For example, having a chest strap in place while running is not comfortable, nor is wearing the strap 24 hours a day. Similarly uncomfortable are sticky chest leads for heart rate, which come loose when sweating and running, and result in a tangle of wires when at rest or in bed. Even video monitoring and image analysis can be difficult when the subject is ambulatory or exercising.
Conventional systems also typically fail at a distance from the subject, such as when monitoring heart rate from across a room, especially when the subject is moving.
Thus, conventional monitoring systems and methods suffer from one or more limitations noted above, in that they are not for mass consumer use, are difficult to use, reply on chest straps, electrical sensors, airflow sensors, or optical sensors requiring continuous contact with the subject detect physiology and fail in loose-fit or non-contact forms, and/or they ignore or omit design considerations regarding optimizing monitoring in moving, living beings and tissues.
None of the above systems suggest or teach a method and system using light in a loose-fit or non-contact manner, such as a distance, to measure a wide variety of physiology parameters, such as heart rate, heart rate variability, respiratory rate, respiratory depth, respiratory effort, calories expended, hydration status, sleep state, or even just to count the number of persons in a room. More specifically, none of the above systems suggest or teach a method and system to separate through spectral analysis the blood volume and skin reflectance changes in various blood and tissue compartments that occur with movement, and separate out the optical effects of ambient light and tissue reflectance that occurs at a distance, in order to amplify and detect the underlying physiology signals in a sea of background signals caused by movements of the body, probe, and changes in location of blood pools within the body's bloodstream. Nor do they teach estimation of these physiological features from a distance, such as from a monitor in the ceiling or a loose-fit pendant, without direct contact of the sensor with the