  {"id":17846,"date":"2016-11-18T13:45:04","date_gmt":"2016-11-18T18:45:04","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/do-android-phones-dream-of-electric-sheep\/"},"modified":"2016-11-18T14:03:37","modified_gmt":"2016-11-18T19:03:37","slug":"do-android-phones-dream-of-electric-sheep","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-rctom\/submission\/do-android-phones-dream-of-electric-sheep\/","title":{"rendered":"Do Android Phones Dream of Electric Sheep?"},"content":{"rendered":"<p>From the favorite and simultaneously infuriating alarm that starts our day to the last tweets or texts that end it, our smart phones have a ubiquitous presence in our lives. Even when we think we\u2019ve final<a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-17832 alignright\" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed-300x169.jpg\" alt=\"bed\" width=\"383\" height=\"216\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed-300x169.jpg 300w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed-768x433.jpg 768w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed-1024x578.jpg 1024w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed-600x338.jpg 600w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Bed.jpg 1280w\" sizes=\"auto, (max-width: 383px) 100vw, 383px\" \/><\/a>ly broken the spell as we eventually slip back into unconsciousness, our phones are still hard at work keeping track of our every move (or lack thereof) with the help of Beddit.<\/p>\n<p>Beddit, using a hardware device coupled with a smart phone software interface, attempts to data mine while you dream.<\/p>\n<p>Considering sleep occupies approximately one third of our entire existence, it was only a matter of time in today\u2019s data driven and digitized world that we would eventually start tracking it. This inevitability, however, is not devoid of rationality and, more importantly, necessity. Just within the last year, the Centers for Disease Control and Prevention (CDC) identified sleep insufficiency as a public health problem that is directly linked to automobile accidents, industrial disasters, and medical or other occupational risks [1]. Apart from the societal risk, the Institute of Medicine discovered a relationship between poor sleep and the likelihood of a person to suffer from a chronic disease such as hypertension, diabetes, depression, and obesity as well as cancer, increased mortality, and reduced quality of life and productivity [2].<\/p>\n<p>Not surprisingly, health professionals consider sleep one of the <a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Beddit.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-17833 alignleft\" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Beddit-300x178.jpg\" alt=\"beddit\" width=\"544\" height=\"323\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Beddit-300x178.jpg 300w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Beddit-768x455.jpg 768w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Beddit-600x356.jpg 600w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Beddit.jpg 970w\" sizes=\"auto, (max-width: 544px) 100vw, 544px\" \/><\/a>three fundamental pillars of a person\u2019s overall wellbeing. However, when compared to the other two pillars of nutrition and fitness, sleep tracking and overall awareness have lacked exposure and traction in the market.<\/p>\n<p>Unlike nutrition and fitness that primarily involve conscious decisions, monitoring and then also improving sleep is a different, more complicated challenge. Many health care professionals agree that current sleep troubles are inherent to today\u2019s world of data driven and caffeine induced lifestyles which is further exacerbated by blue lit smart phones that disrupt a person\u2019s natural circadian cycle [3]. By using a bit of the \u201chair of the dog\u201d philosophy, Beddit attempts to tackle this problem and track sleep through your phone by utilizing an ultra-thin sensor that lies under the bed sheets. This device monitors multiple data points including heart rate, sleep duration, sleep quality, snoring, and sleep environment. The data then syncs to an app on your smart phone via Bluetooth and can be aggregated and analyzed so that you can begin to understand how effective or troubled your time in unconsciousness actually is [4].<\/p>\n<p>This awareness of a prior unknown can have far reaching health implications and could potentially and drastically improve the quality of a user\u2019s life. Undiagnosed problems such as restlessness and sleep apnea can get discovered, and people can uncover, using trial and error, their unique and optimal sleep environment. Beddit is also working with sleep specialists to update their sleep coaching interface to offer users recommendations on how they can improve the quality of their sleep and interpret the data that their device is collecting [5].<\/p>\n<p>Compared to other sleep analytic tools like FitBit, which has tried to couple its wearable fitness tracker with sleep monitoring, Beddit doesn\u2019t depend on wearable technology which some users could find cumbersome or uncomfortable while sleeping. Also, unlike other systems that just use their smartphone\u2019s embedded sensors, Beddit\u2019s separate, unnoticeable device claims to be more sensitive and accurate.<\/p>\n<p>One weakness of Beddit\u2019s operational model is its one dimensionality and scope. More sophisticated, clinical sleep <a href=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Sleep.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-17835 alignright\" src=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Sleep-300x225.jpg\" alt=\"sleep\" width=\"403\" height=\"302\" srcset=\"https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Sleep-300x225.jpg 300w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Sleep-768x576.jpg 768w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Sleep-600x450.jpg 600w, https:\/\/d3.harvard.edu\/platform-rctom\/wp-content\/uploads\/sites\/4\/2016\/11\/Sleep.jpg 900w\" sizes=\"auto, (max-width: 403px) 100vw, 403px\" \/><\/a>trackers utilize polysomnography (PSG) that measure brainwaves (EEG) and eye movement (EOG) along with several other biological data points [6]. Although it would be difficult to replicate in a home setting, offering an optional wearable headband or hybrid eye mask device could supplement the data already provided by the movement and heart rate sensor and provide a better diagnostic tool for the user or a health professional.<\/p>\n<p>Given the trajectory of big data and monitoring technology, I think we\u2019ll eventually see a consolidation of tracking devices, both wearable and passive, that will monitor a user holistically throughout the day and aggregate multiple biological and environmental data points into usable information that highlight optimal or unhealthy behaviors. This data could then eventually be wirelessly transmitted and provided to a user\u2019s own PCP who could be alerted of deteriorating conditions or symptoms that require a pressing medical need or intervention. Imagine the possibility of an automated medical secretary calling you in the middle of the night to preemptively alert you of an impending heart attack. Providing more data naturally sacrifices privacy, but the rewards may outweigh the risks.<\/p>\n<p>You may be able to sleep more soundly at night knowing that your smart phone is always watching (just check your Beddit app to verify when you wake up).<\/p>\n<p>Word Count: 781<\/p>\n<p>Sources:<\/p>\n<ol>\n<li>CDC.gov. 2016.\u00a0<em>Insufficient Sleep Is a Public Health Problem | Features | CDC<\/em>. <u><a href=\"http:\/\/www.cdc.gov\/features\/dssleep\/\">http:\/\/www.cdc.gov\/features\/dssleep\/<\/a><\/u>, accessed November 2016.<\/li>\n<li>Institute of Medicine.\u00a0<em>Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem<\/em>. Washington, DC: The National Academies Press; 2006.<\/li>\n<li>性视界 Health. 2016.\u00a0<em>Blue light has a dark side &#8211; 性视界 Health <\/em><u><a href=\"http:\/\/www.health.harvard.edu\/staying-healthy\/blue-light-has-a-dark-side\">http:\/\/www.health.harvard.edu\/staying-healthy\/blue-light-has-a-dark-side<\/a><\/u>, accessed November 2016.<\/li>\n<li>Business Insider. 2016.\u00a0<em>Beddit &#8211; Business Insider <\/em><u><a href=\"http:\/\/www.businessinsider.com\/beddit-2013-11\">http:\/\/www.businessinsider.com\/beddit-2013-11<\/a><\/u>, accessed November 2016.<\/li>\n<li>Beddit FAQ. 2016.\u00a0<em>Beddit FAQ<\/em>. <u><a href=\"http:\/\/www.beddit.com\/faq\/\">http:\/\/www.beddit.com\/faq\/<\/a><\/u>, accessed November 2016.<\/li>\n<li>Polysomnography (sleep study) &#8211; Mayo Clinic. 2016.\u00a0<em>Polysomnography (sleep study) &#8211; Mayo Clinic\u00a0<\/em>. <u><a href=\"http:\/\/www.mayoclinic.org\/tests-procedures\/polysomnography\/basics\/definition\/prc-20013229\">http:\/\/www.mayoclinic.org\/tests-procedures\/polysomnography\/basics\/definition\/prc-20013229<\/a><\/u>, accessed November 2016.<\/li>\n<\/ol>\n<p>Photos (in order presented):<\/p>\n<p>https:\/\/store.dieselsweeties.com\/products\/electric-sheep-shirt<\/p>\n<p><a href=\"http:\/\/thenextweb.com\/reviews\/2015\/10\/30\/review-the-beddit-smart-sleep-monitor-says-i-need-a-nap\/\">http:\/\/thenextweb.com\/reviews\/2015\/10\/30\/review-the-beddit-smart-sleep-monitor-says-i-need-a-nap\/<\/a><\/p>\n<p><a href=\"https:\/\/cnet1.cbsistatic.com\/img\/egwtyygpICtR0w_UqFMGR97b62A=\/970x0\/2014\/12\/12\/8d17ae64-2503-484a-ae5d-ad6c51871514\/beddit-app-screenshots.jpg\">https:\/\/cnet1.cbsistatic.com\/img\/egwtyygpICtR0w_UqFMGR97b62A=\/970&#215;0\/2014\/12\/12\/8d17ae64-2503-484a-ae5d-ad6c51871514\/beddit-app-screenshots.jpg<\/a><\/p>\n<p>http:\/\/isdhealthsolutions.com\/store\/in-lab-sleep-test\/in-lab-psg-sleep-study\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are tracked and monitored almost every waking moment, so why not when we sleep?<\/p>\n","protected":false},"author":1765,"featured_media":17925,"comment_status":"open","ping_status":"closed","template":"","categories":[],"class_list":["post-17846","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-rctom\/assignment\/digitization-challenge-2016\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Do Android Phones Dream of Electric Sheep? 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