{"id":45300,"date":"2020-02-19T18:07:44","date_gmt":"2020-02-20T01:07:44","guid":{"rendered":"https:\/\/www.realsenseai.com\/uncategorized-cn\/healthcare-depth\/"},"modified":"2026-03-19T15:53:39","modified_gmt":"2026-03-19T21:53:39","slug":"healthcare-depth","status":"publish","type":"post","link":"https:\/\/www.realsenseai.com\/cn\/news-insights-cn\/healthcare-depth\/","title":{"rendered":"Depth and Healthcare"},"content":{"rendered":"\nBetween 2015 and 2030, the number of people in the world over 60 is expected to grow to as many as 1.5 billion people. By 2050, that number will jump to two billion. In the USA alone, this number is expected to be as many as 100 million people by 2060.\n\nThere are many challenges associated with this aging demographic shift, but one of the biggest issues is healthcare. As we age, we inevitably require more care; people age 55 and over account for over half of total healthcare spending. In 2016, those age 65 and older comprised 16% of the total US population but incurred 36% of the healthcare costs. As the share of the population over 65 increases, that number is expected to balloon.\n\nWith an increased demand for healthcare, the other issue is that this aging population will be retiring \u2013 which includes many qualified doctors, nurses and other healthcare professionals, leaving a gap in the workforce at a time when the industry needs it the least. Are there technological solutions which could help close this gap? In some cases the answer is yes. Intelligent or autonomous devices can improve diagnosis, early detection or provide specific types of care.\n\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-8400\" src=\"https:\/\/realsenseai.com\/wp-content\/uploads\/2020\/02\/36441.jpg\" alt=\"People exercising\" width=\"700\" height=\"467\" srcset=\"https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/36441.jpg 700w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/36441-300x200.jpg 300w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/>\n<h3><strong>Early Detection <\/strong><\/h3>\nFor many medical problems, the earlier an issue is detected and identified, the better the outcome. Today in the USA, around 7% of the population have diagnosed diabetes, with potentially as many as 7 million more people undiagnosed. That means there are as many as 30 million patients in the US alone who run the risk of a variety of complications. One significant problem for diabetes sufferers is peripheral vascular disease in the lower limbs \u2013 as the blood vessels in feet become affected by the diabetes, it can cause diabetic foot ulcers which can lead, when untreated, to amputations of part or all of the foot.\n\nSince healthy humans have a very narrow temperature range, it\u2019s possible to measure skin temperature as a sign of potential foot ulcers in the early stage. Anomalous temperature readings can detect problems before any other symptoms are perceived. In <a href=\"https:\/\/rd.springer.com\/chapter\/10.1007\/978-3-030-30645-8_38\" target=\"_blank\" rel=\"noopener noreferrer\">this paper<\/a> by Abi\u00e1n Hern\u00e1ndez et al, they propose a detection system that utilizes a combination of a reduced cost infrared detector (<a href=\"https:\/\/www.thermalexpert.eu\/english-1\/shop\/thermal-imagers\/\" target=\"_blank\" rel=\"noopener noreferrer\">Thermal Expert\u2122 TE-Q1 Plus<\/a>) and an \u00ae RealSense\u2122 depth camera D415. The two cameras are mounted together on a customized camera support, so that the feed from both cameras can be calibrated and aligned.\n\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-8405\" src=\"https:\/\/realsenseai.com\/wp-content\/uploads\/2020\/02\/foot.jpg\" alt=\"Foot scanning\" width=\"700\" height=\"587\" srcset=\"https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/foot.jpg 700w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/foot-300x252.jpg 300w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/>\n\nOnce the cameras are set up, both feet are scanned. Since the depth camera allows for accurate measurement of the feet, and that data is aligned to the thermal image, the two feet can then be compared. The depth data allows for an accurate segmentation of the feet images, and then this data with the attached temperature is processed using a neural network. The goal to create an automatic segmentation system that can cope with a wide variety of backgrounds and conditions without the need for prior setup.\n\nBy using the combinations of technologies, combined with custom software, the authors hope to be able to replace the standard, time-consuming manual methods currently in use today, and potentially move towards developing home-care devices that could be used regularly to monitor the feet of diabetes patients.\n<h3><strong>Analysis and evaluation<\/strong><\/h3>\nIn a recent blog post, we discussed the use of RealSense depth cameras for the purpose of hand tracking and gesture tracking. Primarily those systems are trained on hands that conform to reasonably similar form and function. For people with Rheumatoid Arthritis, their hands and joints can be affected by this chronic autoimmune disease in ways that could make it difficult for these tracking algorithms to successfully evaluate. Tracking the changes in hand shape or movement capabilities and function over time can help improve treatment outcomes \u2013 being able to evaluate and quantify improvement can help guide the treatment to be more effective.\n\n<figure id=\"attachment_8410\" aria-describedby=\"caption-attachment-8410\" style=\"width: 700px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-8410\" src=\"https:\/\/realsenseai.com\/wp-content\/uploads\/2020\/02\/1024px-Rheumatoid_arthritis_1_-_Smart-Servier.jpg\" alt=\"\" width=\"700\" height=\"913\" srcset=\"https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/1024px-Rheumatoid_arthritis_1_-_Smart-Servier.jpg 700w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/1024px-Rheumatoid_arthritis_1_-_Smart-Servier-230x300.jpg 230w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-8410\" class=\"wp-caption-text\">Skeleton and bones of the hand of someone with R.Arthritis. Source <a href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Rheumatoid_arthritis_1_--_Smart-Servier.png\">Wikimedia commons<\/a>.<\/figcaption><\/figure>\n\nIn <a href=\"https:\/\/arxiv.org\/pdf\/1903.06949.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">this paper<\/a>, Brazilian scientists describe a method to use the RealSense SR300\/305 to accurately estimate the position of the hand and joints. Current methods for evaluation by therapists involve the use of a goniometer to measure the angle between joints during specific movements, in order to evaluate the range of motion, or ROM of the patient\u2019s hands. This method is both time consuming and requires a highly trained therapist to perform. Additionally, it is challenging to measure the range of motion while the patient is performing a task in a natural way.\n\n<figure id=\"attachment_8415\" aria-describedby=\"caption-attachment-8415\" style=\"width: 700px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-8415\" src=\"https:\/\/realsenseai.com\/wp-content\/uploads\/2020\/02\/719px-Medizinischer_Goniometer.jpg\" alt=\"Goniometer\" width=\"700\" height=\"584\" srcset=\"https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/719px-Medizinischer_Goniometer.jpg 700w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2020\/02\/719px-Medizinischer_Goniometer-300x250.jpg 300w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-8415\" class=\"wp-caption-text\">Goniometer \u2013 <a href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Medizinischer_Goniometer.jpg\">Source Wikimedia Commons<\/a>.<\/figcaption><\/figure>\n\nThe scientists tested a variety of depth sensors, but found that the RealSense SR300 series offered the best depth at a relevant operating distance \u2013 as a short range device, it works well in a clinical setting such as small doctors offices.\u00a0 To train the system, they evaluated both healthy subjects and patients with Rheumatoid arthritis performing a sequence of motions with their hand, recording the hand pose estimation for each motion. This data was then compared with manual measurements, in order to evaluate the effectiveness of the depth camera enabled method.\n\nThe conclusion was that using the depth camera gave data that was close to the measurements obtained in the traditional way, but far less obtrusively, something which is ideal in a therapeutic setting. Since the skeleton information is created from the raw depth data, it\u2019s also possible to improve the measurement accuracy as the state of the art in 3D hand pose estimation advances. With digital records of all the angles and positions of the hands in these measurements, it would also be easy to create a software suite to measure and track the improvements or deterioration over time for each individual patient.\n<h3><strong>The future of medicine<\/strong><\/h3>\nThese are just two examples where depth cameras and technology can be used to improve the analysis, early detection and treatment for two common ailments. It is easy to imagine a doctor\u2019s office where a diabetic patient can have their feet scanned as part of a regular checkup, in a matter of moments, or a physical therapists office with a variety of digital evaluation tools. By making the data easy, quick and routine to collect, patients can receive higher quality care at a reasonable cost.\n","protected":false},"excerpt":{"rendered":"<p>Between 2015 and 2030, the number of people in the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":42994,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"featured_image_focal_point":[],"inline_featured_image":false,"footnotes":""},"categories":[1211,1193],"tags":[652,653,527],"capability_application":[],"industry":[],"class_list":["post-45300","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stereo-depth-cn","category-news-insights-cn","tag-future-of-medicine-2","tag-healthcare-2","tag-whitepaper-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.7 (Yoast SEO v27.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ 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