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MAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAISfXwEAAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAAAQfgAAAAg/AAAAhB8AAADCDwAAAOEHAACA8AMAAED4AQAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQPgBAAAg/AAAAIQfAAAAwg8AAADhBwAAgPADAABA+AEAACD8AAAAEH4AAADCDwAAAOEHAACA8AMAAED4AQAAIPwAAAAQfgAAAAg/AAAAhB8AAIDwAwAAQPgBAAAg/AAAABB+AAAACD8AAACEHwAAAMIPAABA+AEAACD8AAAAEH4AAAAIPwAAAIQfAAAAwg8AAADhBwAAIPwAAOjd7z9/f//56/cAwg8AgG6r7+0/AOEHAACA8AMAII7vr0+/BBB+AABcpf2s9oRr+vArAADoz1vgGfrBxZn4AQB0UnoLj+78/eevoR9cmYkfAEBvBbjr58AVmPgBAPRgvJjz++tzboWnCISrMfEDAIjqtd/mGu/583HpvS7+BLpn4gcAcN0sBC7i/ng8/BYCXKe7KwUArNTdpHHyDX9FDeKOWvjhawoAxMu/76/PuRScfKqn9sMd9UVY6gkA0FUBeqALIPwAADr0GnvLT20x7gPhBwBAMMOh7avtJ/PgyuwcC3Kd7PEDAEbJ99Z1458Mf0z1gYe7yAlfUwAgdvXdZs7r03vgjvrJAe4AAOGr7+bZLYDwAwC4DlM+YMzDXQAAYhie46L3AOEHANBn9Q3/8dZ431+fC+e2A9ws9QQACFR9r7E3/FzyAatM/AAAIlle0mnBJyD8AADCe53vyTxA+AEAdOIt8ObaTwcCcxwLHuQ6OcAdAC5mXHcOZwd31MLP1xQA6LP6XktP+4E76mMs9QQACFB9Sg8QfgAAfVbfa+k9/yftBwg/AIB+jNd2aj/gGDvHglwne/wA4BqG0htX32sQ+kWBO+pdTPwAAJrovcnhntIDhB8AQP/eRn8iEBB+AADxDF33+8/fcdctPOQTQPgBAISMwIWZnnEfIPwAAEIa59xk4Kk+4DDPigxynTzVEwCCe31c5+tP3v7fm7P7wB11ASZ+AAAnFODrvr6FXXzfX5+qDxB+AAD91OD4vwGysIAwyHWy1BMAemy8BQZ94I46IxM/AIDTWMkJ1PHhVwAAUMd41jc8u2Xv8k4PfQF2sYAwyHWy1BMAOkq+centSrjXv6v9wB31FpZ6AgBUrb7b2intiS8OIPwAAE6uvsn229Vvb9Go/QDhBwBwfvU9H+IyDrbDcz/tB+xi51iQ62SPHwDEabxxjC0M9w633zj27PcDd9RzTPwAAIoU4NwPs+TZ6rsACD8AgOLtt7AaM7H9BB4g/AAATjCZeeXaTxMCu9g5FuQ62eMHABFM7t/Ltalv/C5zWwdt9gN31G9M/AAAstk796vTnwDCDwDgYFxN9tWW9hN4gPADAIiUfxXa7xmZQ2qunvxuqSfwxs6xINfJHj8AaDj5JkMr16a7yfP65mZ9kg/cUU8y8QMAOKLO2G3uvD6BBwg/AIDaKm+3e7af/AM2soAwyHWy1BMAIvRexvMV6pwMAe6oL8LEDwDguLmjGgoNAOufDAEIPwAAJmKs6FxO+wHCDwDg/PZLqb7JMxtu+Z4RClyTnWNBrpM9fgDQvMlzF1JeYXxsg+QDd9TCz9cUAKiXdtkbbO5MCO0H7qjTWeoJAHAkzPJurpt7tfGRfTb1AcIPAKBG9eVtsOVBouPaAeEHAFA8+RbCLPv8rWhhApdl51iQ62SPHwCcF36T1Zd3v9+WtDP3A3fUh5n4AQDMxtjCvr7sp/O9vaDMA4QfAEDx6psMsDqrLt8e5jnOQoBdLCAMcp0s9QSAM6pvCL86ZyrMVaXqA3fUiUz8AADWZZz7PVeQjteRbnxrAOEHAJDZ3JrPxFd7jcCFxlN9QBYWEAa5TpZ6AsBJvfcWYCkdaCUnuKM+i4kfAMB/q+x1/ja3tvNwpC0s7HRMHyD8AABqVN9q473+PHFGZ8QHCD8AgNOqb7n9KrwjgPADACjeYHXaD0D4AQDUrr7xAs4s+/qWR3mqEqjjw68AAGDcgemFNrxauce6PP+6egRWmfgBALw32PjwhiwNuVBoKfFmfyAg/AAAbrty6/vrM8sgLnvgaT/gMEs9AYDLeRvuvVXT5OgvS1sOKzPnTocHEH4AAMcbb271Zv1Z2e8/f3OVXvpwErgISz0BgAsV4K5ManAQ93xM6OTDQhUgIPwAAG6rJysMpTc+2mGX1b+bJdKUHrDd/fF4+C0EuE53VwoAsgXS3ArJlPP63l5ktcqOvVehlwV31N0z8QMA+oy9hePXM+6yu01tGiyRZ8PLSjtA+AEAvCfZXIZlKagD6y33vu9bSeatVkD4AQB00n63+SP7Mlbflrc4UH2TP3zuQlSAwEZ2jgW5Tvb4AUBaL01uvcsYfnPHRdwybR2cNH5TKQjuqIWfrykAXDf85tospZQWMjLLW8xt6lsITuEH7qgnWeoJAFyi+m75zj/YcpJe+jrM4dUc2wBk6F5zpBjXycQPANKq702u5ZfjkyFyzdzmXnZ5FauJH7ijFn6+pgAg/JLybG4Faa72e5sZbp/16T1wR73MUk8AoCvlEmhhBenbmx5bnDk+D1DOAcIPAOD/Mmn1iPPt++5WD2Efl17ekyFWX/b15/oQWGUBYZDrZKknAGwOp8mTG3Y10uTpCK8/zHhmw+qHn1xKmuvBpOCO+iJM/ACAPiMwSw7NDeIKffLhM78F53Bc+0LTAgg/AKBzk7vs3n54+IEueUNr7jSI24bT//JOGgHhBwDQuqGgJjPvLa52BdJ4N2CJR60c7snJwSDAAjvHglwne/wAYEM1LRyBcKCRdoXZrtdfPbbBLj5wRy38fE0BQPX9XQiwjOshy50KWK4qAXfUws/XFAB6rr7bzFMx8yZZrnFc0bPmAXfUws/XFAB6qL7JsxZu+U5WqBBjy0dEqD5wR53Lh28AABCi9Cok0EJ65Xqw59yJfK8Pj6n5Twau0r3mSDGuk4kfABdOvgVzB6xnSbItQZj3X6T0wB11IY5zAAAiVd/keX233GeaTwZYYpVt+YROZgdKda85UozrZOIHgOp7qa8tz3fZ/vrjNZarP0z5Ry3/Ewz9wB11Cfb4AQBNV9/bksvVg9T3Vt+tzOHsy9V3c1IfUJelngBAuyY32j3/49hqzO2jwmdkFs1asQcIPwBA9X0uBNtzTPc6QDtQfYmhCBCFpZ4AQKOKHqk395CYvG80DCdfF3YOP1SVQDUmfgBAJKunLOwqt+1PWNlbfa8rRSdXjao+oCbPigxynTzVE4ArWeixhUe/pLzyXPst7CdMf4vD/wrAHbXw8zUFgKsEYZaD2m9ZT24Yv8Lk2yWeNQ+4o97LHj8AIFLsbQ+zuWFd5XMUxlPKCqdHALyxxw8AiGf70ziXz4JP2TGY8dMCCD8AgMwdNSzCnOvDLKnmyD6gHXaOBblO9vgBcG17N8WtHtm3PAlMCbwSDQm4oxZ+vqYAwHr43bYdBbGl0153Dy4/u0X7gTtq4YevKQCcFn6Tf/LwOFH7gTtq4YevKQCc334Z02vjlM8eP3BH3Q4PdwEArtiBKSYrbryHUOwBDXWvOVKM62TiBwA5Yq/Q3G/yCPibQR+4o26GiR8A0FvsDf932/Mwz722zP0AWulec6QY18nEDwC2Vd9kjGUcxG15HOjewycAd9TCD19TAEhKsozttzwwlHngjrpZlnoCAJ1X3y3To1YOnw0IcH73miPFuE4mfgCwucqWH7Uyufcv5fWd3ADuqNtn4gcAdGvu+SspbTb+u05uANr34VcAAJBI+wGNM/EDADrMsKAvDiD8AABmjc/rG47yS8y88YsUPRceoASPDAlynTzcBQC2ddrGMkx5qfQXB9xRV2biBwD0Yy7AVB9wccIPAOit/d5KLGP1jV9K9QEheKonANBn/u3NvMmom9vOd+wwQICz2DkW5DrZ4wcAuS0c756rKgF31I2w1BMAUH0rLaf0AOEHANBP9W1c8Akg/AAAAhsfCbjwvwIIPwCA5qQcyK76gKA8MiTIdfJwFwAi1FSWLlpeV5n4FruOajDrA3fU3TDxAwCypVr6Xrhqu+nGx/0tzP3GfxggWPeaI8W4TiZ+ADRffeNeKpd8KRn2Npw01gN31MIPX1MAOFJre/PpwKAvY6FpP3BH3T1LPQGAzNW3N+SOLe/MuCh0dc0ngPADAFTf8TBLqSztByD8AIBO4vCU9gMQfgDA1W3MpAqjsxLtJwKBznhkSJDr5OEuADRpY3RNdlTeJpRqgDvqBSZ+AMAJuZV9EmhXHoDwAwDObL9jpzXsPTZd+wHMsYAwyHWy1BOAtm2JrteKW/jzietCrfkE3FGPmfgBABnkmvvNvc726Z+5H4DwAwDOb7/Dbab9AI6xgDDIdbLUE4AgUqIrb9dZ8wm4ox6Y+AEAOVXILXM/AOEHAGg/7Qcg/ACA9tpv71/RfgDCDwCI136F3kL7AXhkSJDr5OEuAMS0K7qOtaIj/gB31MLP1xQAIuXf4TbzqE/AHfUCSz0BgB5Y9gkg/ACAAFUW4l0AhB8AQFKVJU7ktB/AJDvHglwne/wAaN5bs002WJ2deAvvogzBHbXww9cUAHKGVmvtp/rAHfVl//mWegIARaovsb6yr/lUfcCVCT8AoEj1NdV+qg+4OAsIg1wnSz0BCFh9y93l5D3AHXU1Jn4AQNnqu5069wNA+AEAxatvgfYDEH4AQPjqW0077QdQgZ1jQa6TPX4AhKq+vRvz7PcD3FEXZeIHAGR2IM8UHUDZ7jVHinGdTPwAaMDqXK7EqesSEXBHnc7EDwBoovo2voLNfgDCDwA4R65BnPYDEH4AgIbUfgDCDwAoYDm0su+7034Awg8A6J/2AxB+AID2A0D4AQDx82z5xZUhgPADAHoOS9UHsN2HXwEAcLrX3Xrjovv++nzbzqf6AHYx8QMAsjVbuRf8/vp8xt7wHwAIPwCgw5iUfADCDwDov/0AEH4AQLxIm/vr2g9A+AEAACD8AIBMVjfXHZ7OGesBCD8AIIwDCaf6AIQfANCQLU/U3BVyq3/YMzwBhB8A0KKN7WfWByD8AIBKkfYMsOE/6rTflvcy7gPI6P54PPwWAlynuysFcJUSK908GwNv7jPs6sPJF1F9gDtq4YevKcDVq69o+aRn263KKk3hB7ijFn6+pgB0Xn0l4udwrR2e2gk/wB11O+zxA4AWqy9vXMV6korqAxB+AHCJ6ssYbIkvMvnXy7WZ6gMQfgBwoepr5/WrtZ/qAxB+AKD6Tnv9ufbLmGqqD0D4AcAVqy+lhbJX5dwLZgk21Qcg/ABA9RW0/Y2yt99zZqj6AEpzSECQ6+Q4BwDVl/Utxq+/fUK4/NlyvQ6AO+qMPnwDAKCz6jv2+sMPE9eIPl9n+UUkH4DwAwDVV7v6dn3C9HcBoDJ7/ABA9TX0CQEowcQPAJpIvnPfbuNfUX0Awg8ACNlUBwZ9z7+iAwGisNQTAHqrvl2vlrK8s/IkEwDhBwCqr8gnrPMwGACEHwCovharT/sBCD8AUH2xq2/739V+AMIPAFRf/vpqrUu1H4DwAwDVV6+XFl7z95+/Tm4AEH4AQL3qK9d+iY5Vn6EfgPADANVXKZkSh3Ue4wkg/ACAIjnUSFClVJ/VoQDCDwBovf3M+gCEHwBQvIhyvdSB4Vti9Rn3AQg/AFB9TTPrAxB+AEC9IqpfWenVZ9wH0Lj74/HwWwhwne6uFMAlqi9vSu36hJPvqPoAd9TCD19TANVXUP32G943vRgB3FE3xVJPAChSU99fn4lFlKUtD3wGO/oAhB8AqL5N1Xe4u2I1mHEfgPADgEtXXyPtV67NVB9AFHaOBblO9vgBxKy+XP121n4/1Qe4o+6DiR8AFK++WxtrPjOmmuoDEH4AoPp6bj/VByD8AOCKNrZQB+2n+gAisnMsyHWyxw/gbMvRtSuH2nley/ZPovcAd9TCD19TgOvm3+EiauFxL3OfajjDXe8B7qiFH76mAFdvv3OXbqoyAHfUws/XFIA8gTfuq4zTMO0H4I5a+OFrCnBa71XrK+0H4I66NE/1BID1Bst79Hneciv62QAQfgBwierTfgBEZwFhkOtkqSfAecmXsdCK9ps1nwDuqOeY+AGg+v428knM/QAQfgDQc/X55wAg/ADgfBXWUqa/hfYDYMzOsSDXyR4/gAIa2dpXIt7s9wNwRy38fE0B2BpXZxWU9gNwR52RpZ4AqL4W20m2ASD8AKDn6svyAWz2A0D4AUDT1af9ABB+AFCwhZpaZqn9ABB+ANBz9Wk/AIQfALSVWNoPAOEHAKpP+wEg/ACgmOXyCXF8gjMeABB+ANB/UB3+qKIRQPgBQOd6Wuh4IOFUH4DwA4BLixhFuz6z6gNA+AFAz72q+gC43W73x+PhtxDgOt1dKYDjVtd5Fqqj5/uWTq+5f53kA3BHLfx8TQGEX+ZM2rWNMG+VTb618ANwRz2w1BMAUqPr+X/lKvFARqo+AP6ve82RYlwnEz+AtDY7XFDlai17oQ0fT/UBuKMWfr6mAMKvLToNwB11aZZ6AoAuBUD4AUBw7Y/UtB8ARVlAGOQ6WeoJsNhL9ffmXTNQAdxRB2XiB0D46rv1MjEz9wNA+AHAUiMtVJNJGgDCDwC6rcFw7WfoB4DwA4CVOhJOACD8AOi5+pb/gAWfAAg/AOg/DrUfAMIPALQfAAg/ADjb9nI7t/2Gd9n7drYpApCdY8GDXCcHuAMcraO57srbV6t1t+vtjCUB3FELP19TALJ1VEr+Hcuz1XdUfQDuqIWfrykAOdvv+SLfX5/VzgDc8rG1H4A7auHnawpAzvZr8DMLPwB31Hl5uAsAge0KpEYemrL6mVUfAMIPAMK3HwAIPwDQfgAg/AAgrf1OzD/lCYDwA4Dj7Wf0BwDCD4BL5F/L7ecQPwCEHwD03H6qDwDhBwDntF8j1QcAwg8ASrVfhSRzaDsAwg8Aem4/1QeA8AOAntvPCk8AhB8A9Nx+qg+ARtwfj4ffQoDrdHelgH4MOVRzfeP2BsvyqXYln3WeAO6ohR++pkCf1ddl+x0Y8ak+AHfUFVjqCUBDHVhU6TWfqg8A4QcA02nUR/upPgBaZgFhkOtkqSfQafWdUkEZ13werlbVB+COuiYTPwCaaK2Icz/VB0CY7jVHinGdTPyArqvvlCJK/1R7w0/vAbijPouJHwCt9NWt1blflldQfQAIPwBUX7ft9/31qfoAEH4AqL7T2i/98yxHneQDoAV2jgW5Tvb4AZepvvrJtPGjLn+e8YtIPgB31O0w8QOg23Q8keoDoK3uNUeKcZ1M/ICrlluFgmrzoaMAuKPOyMQPgFKyZFKFuZ+cA0D4AYD2A4DYLCAMcp0s9QQiy1VupfNsy+eUiADuqCMy8QOguFwH2ZUe/Yk6AIQfACwl2WqVRVn2CQDCDwBmY0z7AYDwA6C33hsP+upUWbl3sdoTAOEHAOvptVxlucrK3A8AhB8A51RfzfY75Z8GAMIPgP6Tb2MaVWi/+pFmISgAwg+A/quvtYgyoAMA4QfAadW3peu0HwAIPwCi2l50TbWfhgRA+AFwXduL6Pvrc2/LRZn72eAHgPAD4OrVdyD5mmo/4z4AhB8Aqq9suZ3bfqt/0bgPAOEHgOrL4Kz2M+sDQPgBQI3qO6v9tvxh4z4AhB8AfTqriFp71ovqA0D4AaD68qvWfrb2AXARH34FAJzVZsuvnz61e77C20e1ow8A4QcA51dfxvZTegBws9QT4Ez/ft3+/Wrwcy2XUs3Vj+eutLTOEwAeKWuyAAAPbUlEQVThB0By9QVUv4XOqi/VB4DwA6Db6mtwYeR1ahMAhB+A6rtcgJ3y1qoPAOEHwHWdOwys9kQZFxqA/niqJ0BdYcd99Uty3GDDT0okqOQDoGP3x+PhtxDgOt1dKei3+n78DBRjWQJpV7bNvV3G9pN8AO6ou2fiB8DubNtYSsP56SmRNnkIe0aqD4BLdK85UozrZOIHHZhb5Blt4rfcS+X2AY7fMfG9JB+AO2rhh68pUKX6UsLv+Zq5u7HB4xyyF6DkA3BHLfzwNQWaD7+Sw8P2w2+u3CrsTgTAHXVQ9vgBdNSQ/361tnD09BoEAG7O8QM4OdVuOw94WP3DjosAAIQfQLcB+frHEvIvxNwsxHpUABB+AGqt8Ov0PvrTfgAg/AA43n42ywGA8AMgTMLZ8gcACD+AAoX22lrbd+U1GI0AgPADYCWxIheXR7wAgPADoHA0NhCQdvoBQDcc4A5QvtxOf9mjB7t/f32WnqqN89IcDwCEH0DzDiVWs4Ywy9Vjq4PE5x+QfwCQ0f3xePgtBLhOd1cKmvc6mvvx8+Ck7i0aM04Rc+TorhgbpoWHl4xueTvrUQFwRy38fE2BM6ovJfxeCy372tFio8jEwEtpP+EHgDvqLSz1BMgtpfpux/fjnUh9AUDjPNUTIFn2UxzeDgMs9DkBAOEHAI0zaQQA4Qdwkr6e6gkACD+Ayxuvn2x5RaXVngAg/ADQUe1wlB8ACD8ALl19NvgBgPADqMJ2vpOqDwAQfgC1RFzq2fxn3lJ9xn0AIPwAiEr1AYDwAyBZw8tTrfAEAOEH0Jigj/Rs9WOrPgAQfgD0bHv1WecJAAd8+BUAXEtjSz13DfpUHwAIPwDCOLCwU/UBgPADYJt/v84d+h3by6f6AED4AZyRT1RJPtUHAMIPgJ3OGPelPLFT9QFAOk/1BLiYULNK1QcAWZj4AaD3AKBzJn4APfrxc3ZJ5xlLPXeFnOoDgOzuj8fDbyHAdbq7UtCY9hdMPgNv8nOe9FTP1Z1+kg8Ad9SFmPgBdK2l49qXu071AYDwA6CHFJysu++vT9UHAEV5uAtAp84+qP1AAQIAwg+AHkg+ABB+AOT24+fKo2he/9eGh4QAwGH2+AEAAAg/AMZiTcaGTzv+2G/DwH+/ApxUAQDsZKknQMDmXG6zySid/KHGA4BrMPEDiFZ9uag+ABB+AKg+AED4Aciw9t56y6dSfQAg/ABo3Vy5ZWlRJzoAgPAD4ByrPbYx2Iz7AED4AZAzxgq90eH3Xa0+4z4AEH4ANOHY1E71AYDwA0ArAgDCD4A2jEdzy8O6LdU3foV/v+QiAAg/AKosj5xMsu0OV9+B9wIAhB+A9otB7AGA8AOgrar0UBYAQPgBNJFn7bzs3ncxAAQA4QdAvUjb7vlolmNHOCTuKgQAhB+A9qtRfQAAwg+g9fabe6m3qCs0nTP0AwDhB0ATASnPAADhB9Bus5V4hQPVJxQBQPgBULv9Vv/u8Afe/mT2hHNKBAD04v54PPwWAlynuysFMe2KsZTQSqm+hfcdv6waBMAddUAmfgAlbd+qd1b13az2BIALdK85UozrZOIHfVh9IOeJzTb5YSZf39APAHfUwg9fU+CEhiyUf3Pvov0AcEct/PA1BRqqviHSNv6tjX9e+wHgjlr44WsKnNx7c3mWa1Qo/ABwRx3Hh28AQIcWquzHzwztp/oAIBRP9QS4UvXlyjYPAgUA4QdAu9WXq/0AgDjsHAtynezxAwYZn7R5eHCnGwFwRx2KiR9ANJPRdazE9BsAXIOHuwD00n5vhmle9rqTiwAQjYkfQI9e13DmPY5P9QFAQCZ+AF1X39tPyh3rBwAIPwAabUIA4AIs9QToTrnVmNZ5AoDwA6D/9gMAAnI6XJDr5Bw/4JiMazvFJADuqMMy8QPoWq5aU30AELp7zZFiXCcTPyBRyuhP9QHgjjo4Ez+Aazgcb6oPADroXnOkGNfJxA/IZdfoT/UB4I5a+OFrCvRZgHoPAHfUwg9fU6C3/Pvx83//AQDuqIUfvqYAAOCOOhYPdwEAABB+AAAACD8AAACEHwAAAMIPAAAA4QcAAIDwAwAAQP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4
第十二章 穿戴式生物传感技术(6 学时)
(本章介绍如何通过安装在人、动物和物品上的传感器来感知、传递和处理生物信息从而实现健康预警和病情监控。)
第十三章 智能传感与临床(3 学时)
(本章介绍医用传感技术在临床治疗上的应用以及医药行业相关进展。)
1. Introduction (2 hours)
(This chapter mainly introduces the basic concepts, development, characteristics and future development trends of
biosensing technologies.)
2. Human Physiological Information and Biomedicine (4 hours)
(This chapter describes various physiological information of the human body, including the cell and molecular biology
concepts, conduction process, and interaction with sensors.)
3. Fundamentals of Biomedical Sensing Technology (6 hours)
(This chapter teaches the basic concepts in performance indicators, signal detection and improvement methods, and
error analysis in biomedical sensors.)
4. Physical Sensing Technology (4 hours)
(This chapter introduces how to use related physical effects to convert the measured physical quantities into energy and
signal forms that are easy to process. This includes the basic concepts and working principles of displacement,
pressure, vibration, flow, and temperature sensors.)
5. Chemical Sensing Technology (4 hours)
(This chapter describes how to convert chemical signals such as the concentration or total component analysis of
chemical substances in a specific sample into measurable analytical signals. The course will introduce concepts such
as identification, physical and chemical transduction principles, and signal processing.)
6. Biological Sensing Technology (4 hours)
(This chapter introduces how to use biologically active substances to selectively identify and determine various
biochemical substances. The lecture will include biomolecular sensors as well as cell and tissue sensors.)
7. Micro-nano Sensing and Applications (4 hours)
(This chapter will describe the structural characteristics of nano-biomaterials and their interaction with biological
systems. The lecture teaches how to combine micro-nano technology with physics, chemistry, and biosensors and their
applications in different fields.)
8. Microfuidics Control and Analysis (2 hours, This chapter will be co-lectured by an expert in relevant fields)
(This chapter will introduce how to realize the overall miniaturization, integration and portability of the chemical analysis
system from sample processing, analysis to detection based on MEMS technology, combined with analytical chemistry,
materials science, biomedicine, etc.)
9. Materials and Manufacturing of Biomedical Sensors (4 hours)
(This chapter will describe the biocompatibility of sensors, including the physical and chemical reactions between
materials and organisms and their measurement methods. At the same time, it will introduce various traditional and
advanced sensor material processing and manufacturing methods.)
10. Biomedical Sensing Integration (2 hours)
(This chapter will introduce the multi-parameter, multi-functional biosensing methods, and the systematic collection of
human body information.)
11. Biomimetic Sensing (3 hours)
(This chapter will describe the mechanism by which the physical system senses external signals, such as the perception
mechanisms of vision, hearing, touch, smell and taste, and introduces how to imitate its principles to develop new
sensors and expand their practical applications.)