{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/158517"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/158517","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"A Power Efficient Analog Front End for Continuous Ultrasound Imaging of the Bladder","abstract":"Continuous bladder monitoring is important for the monitoring of bedridden patients. One method to continuously monitor the bladder is to capture ultrasound images and use machine learning processing to measure the bladder volume from these images. Circuits for implementing these functions can be integrated onto a wearable device, and each of these functions can be integrated onto a single chip. In this thesis, we analyze ultrasound imaging in the context of the bladder to come up with algorithms and hardware to perform continuous bladder monitoring. We first assemble a discrete setup which can form ultrasound images. Using this setup, we describe a new algorithm for generating an ultrasound image by to power gate the hardware during the imaging process to save additional power when capturing the image. We combine these concepts into a single Analog Front End (AFE) chip that can capture images in a power efficient manner.","abstract_html":"Continuous bladder monitoring is important for the monitoring of bedridden patients. One method to continuously monitor the bladder is to capture ultrasound images and use machine learning processing to measure the bladder volume from these images. Circuits for implementing these functions can be integrated onto a wearable device, and each of these functions can be integrated onto a single chip. In this thesis, we analyze ultrasound imaging in the context of the bladder to come up with algorithms and hardware to perform continuous bladder monitoring. We first assemble a discrete setup which can form ultrasound images. Using this setup, we describe a new algorithm for generating an ultrasound image by to power gate the hardware during the imaging process to save additional power when capturing the image. We combine these concepts into a single Analog Front End (AFE) chip that can capture images in a power efficient manner.","abstract_has_math":false,"creators":["Manohara, Mohith"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Chandrakasan, Anantha P."],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-09","date_published":"2024-09","updated_at":"2026-07-22T22:22:22Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"rights_urls":["https://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/158517","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Chandrakasan, Anantha P."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Manohara, Mohith"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-03-12T16:57:10Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-03-12T16:57:10Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-09"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master","Master of Science in Electrical Engineering and Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/158517"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Continuous bladder monitoring is important for the monitoring of bedridden patients. One method to continuously monitor the bladder is to capture ultrasound images and use machine learning processing to measure the bladder volume from these images. Circuits for implementing these functions can be integrated onto a wearable device, and each of these functions can be integrated onto a single chip. In this thesis, we analyze ultrasound imaging in the context of the bladder to come up with algorithms and hardware to perform continuous bladder monitoring. We first assemble a discrete setup which can form ultrasound images. Using this setup, we describe a new algorithm for generating an ultrasound image by to power gate the hardware during the imaging process to save additional power when capturing the image. We combine these concepts into a single Analog Front End (AFE) chip that can capture images in a power efficient manner."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["A Power Efficient Analog Front End for Continuous Ultrasound Imaging of the Bladder"]}]}],"canonical_facts":{"dc:contributor.advisor":["Chandrakasan, Anantha P."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:creator":["Manohara, Mohith"],"dc:date.accessioned":["2025-03-12T16:57:10Z"],"dc:date.available":["2025-03-12T16:57:10Z"],"dc:date.issued":["2024-09"],"dc:description.abstract":["Continuous bladder monitoring is important for the monitoring of bedridden patients. One method to continuously monitor the bladder is to capture ultrasound images and use machine learning processing to measure the bladder volume from these images. Circuits for implementing these functions can be integrated onto a wearable device, and each of these functions can be integrated onto a single chip. In this thesis, we analyze ultrasound imaging in the context of the bladder to come up with algorithms and hardware to perform continuous bladder monitoring. We first assemble a discrete setup which can form ultrasound images. Using this setup, we describe a new algorithm for generating an ultrasound image by to power gate the hardware during the imaging process to save additional power when capturing the image. We combine these concepts into a single Analog Front End (AFE) chip that can capture images in a power efficient manner."],"dc:description.degree":["S.M."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/158517"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"dc:rights.uri":["https://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["A Power Efficient Analog Front End for Continuous Ultrasound Imaging of the Bladder"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Science in Electrical Engineering and Computer Science"]},"updated_at":"2026-07-22T22:22:22Z"}