{"id":214,"date":"2022-04-04T22:26:17","date_gmt":"2022-04-04T13:26:17","guid":{"rendered":"https:\/\/umeshinlab.wordpress.com\/?page_id=214"},"modified":"2026-08-12T08:27:28","modified_gmt":"2026-08-12T08:27:28","slug":"healthcare-ai-iot","status":"publish","type":"page","link":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/healthcare-ai-iot\/","title":{"rendered":"Healthcare AI\/IoT"},"content":{"rendered":"\n<p class=\"has-small-font-size wp-block-paragraph\">Healthcare AI\/IoT (Artificial Intelligence\/Internet of Things) refers to the integration of AI-driven technologies and interconnected devices within the healthcare sector. IoT devices, such as wearable sensors, smart medical devices, and remote monitoring tools, collect vast amounts of patient data. AI algorithms then analyze this data to derive valuable insights, aiding in disease diagnosis, treatment optimization, and personalized healthcare. For instance, wearable devices equipped with sensors can continuously monitor vital signs, sending real-time data to AI-powered systems. These systems can detect patterns or anomalies, alert healthcare providers, and even suggest personalized treatment plans based on individual patient data, optimizing patient care and outcomes.<\/p>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\">Moreover, AI\/IoT in healthcare facilitates remote patient monitoring, enabling healthcare professionals to remotely track patients&#8217; health statuses and adherence to treatment plans. This setup allows for early detection of health issues or changes in conditions, reducing hospital visits and improving patient convenience. Additionally, AI algorithms can analyze vast amounts of medical literature and patient data to assist healthcare providers in making more informed decisions and predicting potential health risks, contributing to more proactive and preventive healthcare strategies. Integrating AI with IoT devices continues to revolutionize healthcare by providing more personalized, efficient, and accessible medical services.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"218\" src=\"https:\/\/new.umeshin.mmech.waseda.ac.jp\/wp-content\/uploads\/2023\/12\/banner-iot-health.png?w=960\" alt=\"\" class=\"wp-image-1040\" srcset=\"https:\/\/umeshin.mmech.waseda.ac.jp\/wp-content\/uploads\/2023\/12\/banner-iot-health.png 960w, https:\/\/umeshin.mmech.waseda.ac.jp\/wp-content\/uploads\/2023\/12\/banner-iot-health-300x68.png 300w, https:\/\/umeshin.mmech.waseda.ac.jp\/wp-content\/uploads\/2023\/12\/banner-iot-health-768x174.png 768w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/figure>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center has-huge-font-size\">Repository<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. Bioinspired Microtexturing for Enhanced Sweat Adhesion in Ion-Selective Membranes<\/strong><br>Published: August 5, 2025 | <em>Cyborg and Bionic Systems<\/em>, 6, 0337<br>Authors: Marc Josep Montagut Marques, Takayuki Masuji, Mohamed Adel, Ahmed M. R. Fath El-Bab, Kayo Hirose, Kanji Uchida, Hisashi Sugime, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bioinspired (rose-petal) microtextured ion-selective membrane improves sweat wettability and self-cleaning, extending non-contact electrolyte sensing range from 300 to 2,000 \u03bcm \u2014 enabling stable hyponatremia\/hydration monitoring during high-motion activity, intended for wearables, prosthetics, and exoskeletons.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Integrating Finite Element Analysis and Machine Learning for Non-invasive Tumor Detection: A Piezoelectric Tactile Sensor-based Vibration Absorber Approach<\/strong><br>Published: March 2025 | <em>Neural Computing and Applications<\/em>, 37(18), 12059-12081<br>Authors: Radwa Hashem, Haitham El-Hussieny, Shinjiro Umezu, Ahmed M. R. Fath El-Bab<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Combines FEA simulation of tissue stiffness (9-185 kPa) with ML models trained on a piezoelectric vibration-absorber sensor&#8217;s response to simulate tumors of varying size (5-25mm) and depth, enabling non-invasive, ML-assisted tumor detection via tactile stiffness mapping.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Plant Doctor: A Hybrid Machine Learning and Image Segmentation Software to Quantify Plant Damage in Video Footage<\/strong><br>Published: February 22, 2025 \/ May 31, 2025 (issue) | <em>Measurement<\/em>, 249, 117094<br>Authors: Marc Josep Montagut Marques, Liu Mingxin, Kuri Thomas Shiojiri, Tomika Hagiwara, Kayo Hirose, Kaori Shiojiri, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Combines YOLOv8 + DeepSORT for real-time leaf detection\/tracking with DeepLabV3Plus segmentation to automatically diagnose and quantify urban street-tree damage (bacteria, pests, fungi) from ordinary camera video \u2014 a non-invasive AI diagnostic system for public plant-health monitoring.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>4. A Periodic Split Attractor Reconstruction Method Facilitates Cardiovascular Signal Diagnoses and Obstructive Sleep Apnea Syndrome Monitoring<\/strong><br>Published: August 3, 2024 | <em>Heliyon<\/em>, 10(15), e35623<br>Authors: Ze Zhang, Kayo Hirose, Katsunori Yamada, Daisuke Sato, Kanji Uchida, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Proposes &#8220;periodic split attractor reconstruction&#8221; (PSAR), a chaos-domain ECG re-embedding method with three splitting variants, feeding PSAR density maps into an SE-ResNet classifier. Validated on combined cardiovascular-disease and obstructive sleep apnea ECG datasets, showing disease-specific sensitivity and good OSA recognition \u2014 an AI-assisted daily-life cardiovascular\/sleep monitoring tool.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>5. Soft Tissue Compliance Detection in Minimally Invasive Surgery: Dynamic Measurement with Piezoelectric Sensor Based on Vibration Absorber Concept<\/strong><br>Published: 2024 | <em>Journal of Robotics and Control (JRC)<\/em>, 5(5), 1399-1411<br>Authors: Radwa Hashem, Haitham El-Hussieny, Shinjiro Umezu, Ahmed M. R. Fath El-Bab<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sister study to the tumor-detection paper above, applying the same piezoelectric vibration-absorber sensing concept to dynamically measure soft-tissue compliance during minimally invasive surgery, aiding real-time tissue-property feedback for surgeons.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>6. The Standards of Over-the-Counter Cuffless Sphygmomanometers for Monitoring Blood Pressure<\/strong><br>Published: 2024 | <em>Preprints<\/em><br>Authors: Meng Huang, Toshiyo Tamura, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reviews and proposes standardization criteria for consumer cuffless blood-pressure monitors, addressing accuracy and validation gaps in this fast-growing home-monitoring device category.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>7. A Low-Cost Microfluidic Flow Stabilizer for Enhancing QCM Measurement Stability in In-Liquid Bio-Applications<\/strong><br>Published: 2024 | <em>Engineering Research Express<\/em>, 6(1), 015501<br>Authors: Mohamed Adel, Ahmed Allam, Ashraf E. Sayour, Hani F. Ragai, Shinjiro Umezu, Ahmed M. R. Fath El-Bab<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Low-cost microfluidic flow stabilizer improves measurement stability of quartz crystal microbalance (QCM) biosensors operating in liquid, supporting more reliable point-of-care biosensing.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>8. Design and Development of a Portable Low-Cost QCM-Based System for Liquid Biosensing<\/strong><br>Published: 2024 | <em>Biomedical Microdevices<\/em>, 26(1), 11<br>Authors: Mohamed Adel, Ahmed Allam, Ashraf E. Sayour, Hani F. Ragai, Shinjiro Umezu, Ahmed M. R. Fath El-Bab<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Companion device paper: builds a portable, low-cost QCM-based biosensing platform for liquid samples, aimed at accessible point-of-care diagnostic use.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>9. A Combination of Logical Judging Circuit and Water-Resistant Ultrathin Film PEDOT:PSS Electrode for Noninvasive ECG Measurement<\/strong> <em>(cross-listed from Bioelectronics)<\/em><br>Published: March 14, 2024 | <em>Discover Nano<\/em>, 19(1), 45<br>Authors: Kewei Song, Kayo Hirose, Kioto Niitsu, Tsubasa Sui, Hiroto Kojima, Toshinori Fujie, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Water-resistant PEDOT:PSS ECG electrode with a self-selecting multi-channel logic circuit enables stable, non-adhesive long-term ECG monitoring during daily activity without sweat-induced noise \u2014 a vital-sign-monitoring bioelectronic device.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>10. Adding Deposition Constraints to Improve Fabrication Yield of Ion-Selective Sensors<\/strong> (two versions: \u5e74\u6b21\u5927\u4f1a conference version + full &#8220;About electrochemical sensor mechanical properties&#8221; version)<br>Presented: 2023 | \u5e74\u6b21\u5927\u4f1a 2023, S236-04 \/ Proceedings of Mechanical Engineering Congress, Japan 2023<br>Authors: Marc Josep Montagut Marques, Kayo Hirose, Kazuyoshi Tsuchiya, Hisashi Sugime, Suguru Noda, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Investigates deposition process constraints that improve manufacturing yield of ion-selective electrochemical sensors, a precursor to the group&#8217;s later sweat-sensing membrane work.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>11. An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer<\/strong><br>Published: 2022 | <em>Sensors<\/em>, 22(24), 9985<br>Authors: Toshiyo Tamura, Meng Huang, Toshimasa Yoshimura, Shinjiro Umezu, Toshiro Ogata<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IoT-connected noninvasive dual-heat-flux thermometer system for real-time heatstroke risk monitoring, integrating physiological sensing with connected alerting.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>12. Smart Face Mask Based on an Ultrathin Pressure Sensor for Wireless Monitoring of Breath Conditions<\/strong><br>Published: November 30, 2021\/ February 2022 (issue) | <em>Advanced Materials<\/em>, 34(6), e2107758<br>Authors: Junwen Zhong, Zhaoyang Li, Masahito Takakuwa, Daishi Inoue, Daisuke Hashizume, Zhi Jiang, Yujun Shi, Lexiang Ou, Md Osman Goni Nayeem, Shinjiro Umezu, Kenjiro Fukuda, Takao Someya<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">World&#8217;s thinnest (~5.5 \u03bcm) and lightest (~4.5 mg) self-powered electrostatic pressure sensor, integrated into a face mask with a compact wireless readout circuit, enabling battery-free wireless monitoring and analysis of breath conditions across multiple testers.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>13. Design, Fabrication, and Control of Micro-heater Based on Joule Effect for Low-cost Medical Device<\/strong> \/ <strong>Micro Heater Design Procedure with Backside Etching for Medical Applications<\/strong><br>Presented: 2022 | IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society<br>Authors: Mohamed S. Tolba, Mohamed Fanni, Ghada A. Nasser, Shinjiro Umezu, Ahmed M. R. Fath El-Bab<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Two companion conference papers designing and fabricating low-cost Joule-effect micro-heaters (with backside-etch process refinement) for point-of-care medical devices such as PCR thermal cyclers.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>14. 3D-Printed Swab with Cover for Precision Diagnosis<\/strong><br>Published: 2022 | <em>Journal of Materials Science: Materials in Medicine<\/em>, 33(1), 8<br>Authors: Fangqi Huang, Kewei Song, Yue Jiang, Kayo Hirose, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3D-printed diagnostic swab with a protective cover, standardizing sample collection geometry for more precise and consistent diagnostic testing (e.g., COVID-era nasal\/throat swabs).<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>15. New Cost Effective Design of PCR Heating Cycler System Using Peltier Plate Without the Conventional Heating Block<\/strong><br>Published: 2021 | <em>Journal of Mechanical Science and Technology<\/em>, 35(7), 3259-3268<br>Authors: Ghada A. Nasser, Ahmed L. Abdel-Mawgood, Adel A. Abouelsoud, Hisham Mohamed, Shinjiro Umezu, Ahmed M. R. Fath El-Bab<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Replaces the conventional heating block with a Peltier-plate design to build a lower-cost PCR thermal cycler, aimed at accessible point-of-care molecular diagnostics.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>16. Polyaniline\u6fc3\u5ea6\u5909\u5316\u53ca\u3073\u30c9\u30fc\u30d4\u30f3\u30b0\u304cpH\u30bb\u30f3\u30b5\u611f\u5ea6\u306b\u53ca\u307c\u3059\u5f71\u97ff\u306e\u691c\u8a0e<\/strong><br>Published: 2021  | IIP \u60c5\u5831\u30fb\u77e5\u80fd\u30fb\u7cbe\u5bc6\u6a5f\u5668\u90e8\u9580\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6 2021, IIP2A2-4<br>Authors: Ko Kobayashi, Koshi Sugime, Suguru Noda, Shinjiro Umezu <em>(kanji-to-romaji reading approximate; not independently re-verified)<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Investigates how polyaniline concentration and doping level affect pH sensor sensitivity \u2014 a precursor to the group&#8217;s later ion-selective\/sweat-sensing membrane work.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>17. Airtight, Flexible, Disposable Barrier for Extubation<\/strong><br>Published: June 14, 2020 | <em>Journal of Anesthesia<\/em>, 34(5), 798-799<br>Authors: Kayo Hirose, Kanji Uchida, Shinjiro Umezu<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Developed a &#8220;Balloon for Aerosol Protection&#8221; (BAP) \u2014 an airtight, flexible, disposable barrier that seals around a patient&#8217;s head during extubation while allowing glove access, protecting medical staff from aerosolized SARS-CoV-2 droplets; validated via fluorescent-tracer isolation testing.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>18. Based Electrochemical Sensors Using Paper as a Scaffold to Create Porous Carbon Nanotube Electrodes<\/strong><br>Published: 2020 | <em>ACS Applied Materials &amp; Interfaces<\/em>, 12(27), 30680-30685<br>Authors: Christopher J. Valentine, Kaori Takagishi, Shinjiro Umezu, Ronan Daly, Michael De Volder<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Uses ordinary paper as a low-cost scaffold to create porous carbon-nanotube electrodes for electrochemical sensing, aimed at accessible point-of-care biosensing platforms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Healthcare AI\/IoT (Artificial Intelligence\/Internet of Things) refers to the integration of AI-driven technologies and interconnected devices within the healthcare sector. IoT devices, such as wearable sensors, smart medical devices, and remote monitoring tools, collect vast amounts of patient data. AI algorithms then analyze this data to derive valuable insights, aiding in disease diagnosis, treatment optimization, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-214","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/214","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/comments?post=214"}],"version-history":[{"count":5,"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/214\/revisions"}],"predecessor-version":[{"id":1470,"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/214\/revisions\/1470"}],"wp:attachment":[{"href":"https:\/\/umeshin.mmech.waseda.ac.jp\/index.php\/wp-json\/wp\/v2\/media?parent=214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}