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一、研究方向

  • 實驗室指導老師，蘇美如副教授 於2001/2/1~2005/12/31工研院生醫中心 醫療電子技術部先進生醫元件技術部擔任研發工程師，主要計畫有研發生理訊號無線傳輸模組、心電訊號異常量測技術開發、遠距居家照護服務系統、居家檢測血脂蛋白定量分析感測晶片、植入式藥物釋放機制、感測系統與新藥篩選晶片之微模具製作技術開發，主要以生理訊號處理與電路設計、微型藥物釋放機制設計、微模具設計技術發展醫療器材與元件。此經歷對日後學術研究墊定重要基礎。而轉任學界後近五年主要研究為結合生醫感測器與AI嵌入式系統技術，發展適合遠距醫療與照護的「智慧照護輔助系統」(Smart Care Assistive System ; SCAS)為核心之醫療長照整合之創新應用。

  • 「智慧照護輔助系統」研究為建立核心之醫療長照整合之創新應用，其整合生醫感測器與訊號處理、即時影像動作特徵分析、深度機器學習、與物聯網技術、Raspberry Pi 與NVIDIA Jetson Nano嵌入式系統，建置生醫機電整合之智慧醫療與照護系統，研究系統分別與新竹馬偕醫院胸腔外科、骨科、新竹國泰醫院復健科與埔里基督教醫院長照教學中心、恩主公醫院復健科、為恭醫院內科病房合作。

  • ​研究主題分為:
    • 「智慧照護與分析」​

      • 建置智慧氣喘自動辨識模型與呼吸照護系統：透過與小兒科醫師合作，進行氣喘照護系統設計，與完成以聲音訊號多模態深度學習為基礎建立氣喘自動評估模型。

      • 建置腦中風病人吞嚥功能之智慧評估系統、可攜式壓力中心軌跡之智慧平衡評估系統、脊椎照護之智慧背架系統、行動氣喘照護自動辨識系統。與中醫師合作，以機器學習於都卜勒超音波​影像與中醫脈象間的相關性研究。

    • ​​「醫療資訊整合系統」研究：

      • 整合儀器端資料建置遠距照護應用系統，整合OpenICE，導入FHIR(Fast Healthcare Interoperability Resource，快捷式醫療照護互通操作資源）格式資料，並與國家高速電腦中心、國際廠商RTI(Real-Time Innovations company)合作，導入RTI Connext DDS(Data Distribution Service)資料分散服務技術，達到資料可靠、高效能、安全、即時、可擴展目的。目前國際合作獲RTI 公司University Program支持,進行和埔里基督教醫院合作的遠距醫療呼吸照護相關研究。並於2024 IEEE 6th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2024) ，發表“A Time-Sensitive Networking Tele-Rehabilitation Care System Based on DDS and OpenICE Technologies”獲最佳論文獎。

      • 與保生國際生醫股份有限公司合作，建置符合POC照護情境的FHIR資料整合系統 。

    • 「音樂輔助照護」研究：與胸腔外科合作建置音樂輔助呼吸訓練與智慧化評估; 與復健科合作建置音樂輔助帕金斯症智慧復健系統、音樂輔助吞嚥訓練。

  • 此些技術研究於相關期刊與國際研討會發表​2023 EHB、2022APAMI、2021EIHP、2020ATS、2019 ICESI、2018 ICITL、2018ITL、2018UAC、2017MMHS; 2015 Sensors期刊與2017醫務管理期刊; 2018英文專書發表，詳細請參考CM302著作目錄。

 

Research Direction:

  • Under the guidance of Professor Su Mei-ju, Associate Professor at the Biomedical Engineering Department of Chung Yuan Christian University, I served as a research and development engineer at the Industrial Technology Research Institute (ITRI) Medical Electronics Technology Department and Advanced Biomedical Devices Technology Department from February 1, 2001, to December 31, 2005. During this period, I focused on various projects, including the development of wireless transmission modules for physiological signals, abnormal measurement techniques for electrocardiographic signals, remote home care service systems, quantitative analysis sensing chips for home detection of blood lipid proteins, implantable drug release mechanisms, and micro-mold fabrication techniques for sensing systems and new drug screening chips. The primary emphasis was on physiological signal processing, circuit design, micro-drug release mechanism design, and the development of medical equipment through micro-mold design technology. This experience laid a crucial foundation for subsequent academic research.Upon transitioning to academia, my research for the past five years has primarily revolved around combining biomedical sensors with AI embedded system technology. The main focus is on the development of the "Smart Care Assistive System" (SCAS), a core innovation for integrated healthcare for the elderly in remote medical and caregiving settings.

  • The research on the "Smart Care Assistive System" aims to establish an innovative application for integrated healthcare for the elderly. It involves the integration of biomedical sensors and signal processing, real-time image motion feature analysis, deep machine learning, and Internet of Things (IoT) technology. The system is built using embedded systems such as Raspberry Pi and NVIDIA Jetson Nano, creating a smart healthcare and caregiving system that integrates biomedical electronics. Collaborative research has been conducted with the Chest Surgery Department of Hsinchu Mackay Memorial Hospital, Orthopedics Department, Rehabilitation Department of Hsinchu Cathay General Hospital, Puli Christian Hospital Long-Term Care Teaching Center, Rehabilitation Department of En Chu Kong Hospital, and Internal Medicine Ward of Wei Gong Hospital.​

    • "Smart Care and Assessment" Research:​

      • Build a smart automatic asthma identification model and respiratory care system: Through cooperation with pediatricians, we design an asthma care system and complete the establishment of an automatic asthma assessment model based on multi-modal deep learning of sound signals.

      • Establish a smart assessment system for stroke patients' swallowing function, a smart balance assessment system for portable pressure center trajectory, a smart back brace system for spinal care, and an automatic identification system for mobile asthma care. Collaborate with traditional Chinese medicine practitioners to use machine learning to study the correlation between Doppler ultrasound images and traditional Chinese medicine pulse conditions.

      • Analysis of the effectiveness of ventilators in respiratory care in ICU wards.

    • "Medical Information Integration System" Research:

      • Integrate instrument-side data to build a remote care application system, integrate OpenICE, import FHIR (Fast Healthcare Interoperability Resource, Fast Healthcare Interoperability Resource) format data, and cooperate with the National High-speed Computer Center and international manufacturer RTI (Real-Time Innovations company ) cooperates to introduce RTI Connext DDS (Data Distribution Service) data distribution service technology to achieve data reliability, high performance, security, real-time and scalability. The current international cooperation is supported by the RTI Company University Program and is conducting research related to telemedicine respiratory care in cooperation with Puli Christian Hospital. And at the 2024 IEEE 6th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2024), he published "A Time-Sensitive Networking Tele-Rehabilitation Care System Based on DDS and OpenICE Technologies" and won the best paper award.

      • Cooperate with Biosheng International Biomedical Co., Ltd. to build an FHIR data integration system that meets POC care scenarios.

    • ​"Music-assisted care" research:

      • Cooperate with thoracic surgery to establish music-assisted breathing training and intelligent assessment; cooperate with the Department of Rehabilitation to establish a music-assisted intelligent rehabilitation system for Parkinson's disease and music-assisted swallowing training.

  • These research endeavors have been published in relevant journals and international conferences, including EHB 2023, APAMI 2022, EIHP 2021, ATS 2020, ICESI 2019, ICITL 2018, ITL 2018, UAC 2018, MMHS 2017; Sensors 2015 journal and Healthcare Management Journal 2017; and an English book published in 2018. For more details, please refer to the CM302 publication list.

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二、建立系統

  1. 提供智慧氣喘照護：卷積神經網路(Convolutional Neural Network, CNN)與長短期記憶(Long Short-Term Memory, LSTM)演算法的深度學習模型來建模，以達到自動評估使用者自身的肺功能預測，進而達到氣喘遠距照護的目的。發表於2020ATS與2020健康管理研討會，並獲得口報論文第一名。

  2. 提供便利跌倒評估裝置：可攜式壓力中心軌跡之智慧平衡評估系統(Potable Falling Smart Evaluation Device; PFSED)為提供不受地點與人力因素的方便可攜帶的智慧平衡評估系統，適合居家或照護機構使用。於2019ICESI發表。

  3. 提供脊椎智慧照護裝置：脊椎照護之智慧背架系統(Intelligent of Brace; iBrace) 為提供有脊椎問題的病患，可記錄平時背架的連續穿戴紀錄，與穿戴異常之提醒，並且病患回診時可提供醫師診斷時的參考資料，以改善傳統的照護品質。於2015ICMU發表。

  4. 提供音樂治療智慧裝置：音樂輔助帕金斯症智慧復健系統(Music Care for Parkinson Rehabilitation System; MCPRS)，則除協助復健治療師在進行帕金斯症復健的RAS音樂治療時，可提供科學化的紀錄與改善狀態判斷外，亦提供患者在居家復健時能提供生理回饋資料，讓患者能自己了解復健狀況。於2018ICITL、2018UAC、2017MMHS發表。

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Establishing Systems:

  1. Smart Asthma Care System: Utilizing Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) algorithms for deep learning modeling to automatically assess the user's lung function, achieving the goal of remote asthma care. Presented at the 2020 ATS and the 2020 Health Management Conference, earning the first-place position for oral presentation papers.

  2. Portable Falling Smart Evaluation Device (PFSED): The PFSED provides a convenient and portable smart balance assessment system, unaffected by location and manpower factors. Suitable for home or care facility use, it was presented at the 2019 ICESI.

  3. Intelligent Spinal Care Device (iBrace): The iBrace, an intelligent spinal brace system, records the continuous wearing history of spinal braces, provides alerts for abnormal wear, and offers diagnostic reference data for physicians during patient visits. This system aims to enhance traditional care quality and was presented at the 2015 ICMU.

  4. Music Care for Parkinson Rehabilitation System (MCPRS): The MCPRS not only assists rehabilitation therapists in conducting RAS music therapy for Parkinson's disease rehabilitation but also provides scientific recording and improvement state judgments. It offers physiological feedback data for patients during home rehabilitation, enabling them to understand their rehabilitation progress. Presented at the 2018 ICITL, 2018 UAC, and 2017 MMHS.

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​三、綜觀整體成果

  1. 綜觀整體成果，近五年發表：6篇國際期刊論文(3篇第一作者1篇通訊作者,2篇投稿中)與13篇國際研討會論文。亦帶領2014-2019學生參加多次國際與全國競賽獲得:1金、2銀、1銅、1創新獎、1特別獎、1次第1名、1次第2名、2次第3名;2020參加生醫程式設計競賽以” 記憶訓練遊戲”獲第三名。相關技術目前已完成「創新技術開發」及「初步技術移轉」兩階段之研發進程，由技術衍生的”智慧平衡評估技術”已產生技術授權金100,000元，此技術移轉至鴻讚科技公司，讓公司產品可拓展長照市場的客戶。

  2. 智慧科技跨域人才培育: 主持人於109-110學年負責執行教育部智慧聯網技術課程推廣計畫、與教育部跨領域智慧醫療與健康促進人才培育。智慧聯網技術課程推廣計畫以“遠距照護系統與設計”課程整合「物聯網感測器軟硬體平台與應用」、「居家照護之影像辨識和跌倒偵測應用開發」和「生醫穿戴式裝置開發」重點教材模組，以問題導向討論學習(PBL) 方式培養學生生醫穿戴式裝置系統整合、學習照護APP設計能力。而教育部跨領域智慧醫療與健康促進人才培育計畫，則負責規劃“寵物智慧照護微學程”，整合寵物照護、大數據分析與智慧感知之跨域師資與資源，以問題導向PBL教學方法為基礎，並透過與產業合作的實地資料搜集分析演練，培育學生實際應用創新能力。因此以基礎課程、技術應用與總結課程建立寵物智慧照護微學程跨域能力。

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Overview of Overall Achievements:

  1. Over the past five years, there have been 6 international journal publications (3 as the first author, 1 as the corresponding author, and 2 under submission) and 13 international conference papers. Additionally, I have led students from 2014 to 2019 to participate in numerous international and national competitions, achieving 1 gold, 2 silver, 1 bronze, 1 innovation award, 1 special award, 1 first place, 1 second place, and 2 third-place awards. In 2020, participation in the Biomedical Programming Contest resulted in a third-place award for the "Memory Training Game." The related technologies have progressed through the stages of "Innovative Technology Development" and "Preliminary Technology Transfer." The technology derived from the "Smart Balance Assessment" has been licensed, generating a technology transfer fee of 100,000 NTD, and has been transferred to Hongzan Technology Co., Ltd., enabling the company to expand its customer base in the long-term care market.

  2. Cross-disciplinary talent development in smart technology: As the project leader for the 109-110 academic years, I was responsible for implementing the Ministry of Education's Smart Internet Technology Course Promotion Program and the Ministry of Education's Cross-disciplinary Smart Healthcare and Health Promotion Talent Cultivation Program. The Smart Internet Technology Course Promotion Program integrated the "Remote Care System and Design" course with key modules on "IoT Sensor Hardware and Software Platforms and Applications," "Image Recognition and Fall Detection Application Development for Home Care," and "Biomedical Wearable Device Development." The program utilized a problem-based learning (PBL) approach to cultivate students' abilities in the integration of biomedical wearable device systems and the design of care apps. In the Cross-disciplinary Smart Healthcare and Health Promotion Talent Cultivation Program, I planned the "Pet Smart Care Micro Program," integrating cross-disciplinary faculty and resources in pet care, big data analysis, and smart sensing. The program, based on a PBL teaching method, involved practical applications and innovation through collaboration with the industry, cultivating students' practical and innovative capabilities. The micro program established cross-disciplinary capabilities through foundational courses, technical applications, and summary courses in pet smart care.

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四、近五年國內外之成就與榮譽：

  • Program Chair: The 14th Asia Telemedicine Symposium 2020

  • Journal Editor:2016~ Present, Editor Board Insights in Biomedical Engineering

  • Journal Reviewer: Inter Journal of Computing and Digital Systems

  • Paper Reviewer: The 19th International Conference on Advanced Communications Technology (ICACT2020)

 

五、近五年在人才培育、研究團隊建立及服務方面的重要貢獻及成就：獲得各類教學獎項；所指導之學生曾獲之獎項及特出之表現

帶領學生參加國際發明與創新競賽：

  1. 2022高雄KIDE國際發明暨設計展以「膠囊填充器」為基礎，開發「填充膠囊選擇器」，則獲得銀牌獎。

  2. 蘇郁惠、陳令儀、蘇美如(2021)。「Smart Music Playground」(音樂復健輔具)獲選2021CES消費性電子國際大展參展。

  3. 2021教育部計畫智慧創新醫療照護專題競賽，“中風患者吞嚥困難評估”獲得第一名”、音樂呼吸訓練APP”獲得第三名。

  4. 2021健康管理研討會，“社區老年人之下肢肌力遠距照護系統建置”獲得海報論文第三名。

  5. 2020健康管理研討會，並獲得口報論文第一名。

  6. 2020參加生醫程式設計競賽以” 記憶訓練遊戲”獲第三名。

  7. 2020 協助指導清大音樂科技健康中心清大學生以Smart Music Playground獲選科技部推薦參與CES參展。

  8. 2019高雄KIDE國際發明暨設計展以”行動氣喘照護裝置”獲得金牌與特別獎、“幼兒智慧照護之動作發展評估鞋”獲得銅牌與特別獎。

  9. 2017高雄國際發明展以”兒童音樂互動學習鞋”獲得銀牌。

  10. 2017年國創會黑客松比賽”兒童音樂互動學習鞋”獲第一名。

 

六、近五年協助產業發展績效：技術移轉、著作授權、產學合作、協助產業發展、實作研究上之成果與貢獻、產業規範/標準之建立。

  1. 擔任112年由清華大學資訊工程系陳宜欣教授主持的國科會智慧醫療產業聯盟計畫 -「失能者的智慧復能連續性照護」， 擔任子計畫二「PAC 醫療照護系統設計」子計畫主持人，與國內10家醫療儀器技術開發廠商共同執行。

  2. ​主持111學年度教學資源製作與教學精進補助專案-元宇宙之「未來醫院」，以結合MR技術的急救場域的超音波，可應用於未來醫療儀器設計方案。 

  3. 主持110年與國家高速網路與計算中心、豐揚科技股份有限公司合作的”資安、智慧科技及相關技術研發”計畫，負責以「智慧照護科技研發中心」與國網之合作，協助建置資料分散式服務DDS於居家健康照護整合系統，並於2021/11/24台南沙崙的科技部資安暨智慧科技研發大樓展示，已有滙嘉健康生活科技智慧墊、英華達全家寶、創心醫電電子聽診器與心電圖等產品進行DDS技術整合中。今年則以急性後期病人為對象之系統，協助醫院與醫療儀器產品之DDS系統建置。

  4. 主持110/08/01 ~ 111/07/31“腦中風鼻胃管留置病人吞嚥功能之智慧評估與照護系統建置”。

  5. 主持110/1-110/12產學計畫“社區老年人之下肢肌力改善與智慧評估系統建置”，協助「台灣醫智公司」建置對話式“社區老年人之下肢肌力遠距照護系統”，以提供適合COVID-19疫情之下的居家肌力訓練照護評估系統”，初步成果發表於2021健康管理研討會，獲得海報發表論文第三名。

  6. 主持105/8~109/1  擔任由清大資工蘇豐文教授主持的科技部"以深度機器學習輔助個人化音樂健康照護"子計畫三主持人。針對帕金斯症的AI技術於音樂治療研究。

  7. 主持102/09~104/08 國科會"高信度銀髮族醫療控管平台之普適型下肢活動感測生理回饋系統“，擔任主持人。

  8. 蘇郁惠、陳令儀、李億萱、蘇美如、顏瑞瑩、蔡沂珊（2022年10月）。掌管音樂與醫療科技的神-從阿波羅回望台灣音樂人才培力新方向。十三引路人──UFO計畫個案實錄 (上冊)（ISBN：9786267147108）（26-59）。台北：國立政治大學。教育部：資科司人文社會與科技前瞻人才培育計畫成果。

  9. 主持人於2018/12~2020/11擔任台灣遠距照護服務產業協會(TIAT)秘書長，協助國內遠距醫療產業的合作與產業推展，於2020年11月27-28日協助協會主辦2020亞洲遠距醫療研討會。

  10. 主持人於2020/12~至今擔任台灣遠距照護服務產業協會監事，並負責遠距醫療健康技術應用小組招集人，以推動產業界遠距醫療健康技術之跨域合作。

  11. 主持人於2020年11月27-28日亞洲遠距醫療研討會擔任Program Chair。

  12. 主持人於2020/5/1-2020/12/31 執行由雲匯愛股份有限公司委託之產學計畫”智慧薄墊結合雲端專家系統應用於高齡者睡眠品質分析”。

  13. 近五年智慧輔具復健系統與遠距健康照護系統開發，主要與創健國際進行智慧背架議題、與鴻讚科技進行智慧跌倒評估議題之”智慧平衡評估技術”已產生技術授權。

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