Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discusses general tradeoffs beten wireless communication and computation in closed-loop implantable medical devices for neurological applications. Closed-loop devices enable neural monitoring, automated diagnostics and treatment of neurological disorders. Several topologies for the loop a re discussed, including within the implant, as ll as implemented with a arable, handheld or stationary processor. Common wireless communication data rate and range requirements and algorithmic computational requirements are summarized. As a case study, a 0.13 μm CMOS neurostimulator SoC for closed-loop treatment of intractable epilepsy is presented. Its triple-band radio with a 1m 230Mbps pulse-radio, a 2m 46Mbps pulse-radio 2, and a 10m 1.2Mbps FSK radio provides a versatile transcutaneous interface. The in-implant processor has constrained computational resources which results in a limited detection performance — seizure detection sensitivity of 87%. A higher-performance signal processing algorithm implemented on a stationary device within a loop enhances the seizure detection performance which was improved to a sensitivity of 98% with three times fer false alarms. This comes at the cost of an increased wireless transmitter por budget, if communicated directly. These results illustrate a fundamental tradeoff beten the communication and computation in closed-loop electronic therapies for neurological disorders.
['M. Tariqus Salam', 'Hossein Kassiri', 'Nima Soltani', 'Haoyu He', 'Jose Luis Perez Velazquez', 'Roman Genov']
I am writing a research paper on a idea Tradeoffs between wireless communication and computation in closed-loop implantable devices
[{"from": "human", "value": "I am writing a research paper on a idea Tradeoffs between wireless communication and computation in closed-loop implantable devices"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discusses general tradeoffs beten wireless communication and computation in closed-loop implantable medical devices for neurological applications. Closed-loop devices enable neural monitoring, automated diagnostics and treatment of neurological disorders. Several topologies for the loop a re discussed, including within the implant, as ll as implemented with a arable, handheld or stationary processor. Common wireless communication data rate and range requirements and algorithmic computational requirements are summarized. As a case study, a 0.13 \u03bcm CMOS neurostimulator SoC for closed-loop treatment of intractable epilepsy is presented. Its triple-band radio with a 1m 230Mbps pulse-radio, a 2m 46Mbps pulse-radio 2, and a 10m 1.2Mbps FSK radio provides a versatile transcutaneous interface. The in-implant processor has constrained computational resources which results in a limited detection performance \u2014 seizure detection sensitivity of 87%. A higher-performance signal processing algorithm implemented on a stationary device within a loop enhances the seizure detection performance which was improved to a sensitivity of 98% with three times fer false alarms. This comes at the cost of an increased wireless transmitter por budget, if communicated directly. These results illustrate a fundamental tradeoff beten the communication and computation in closed-loop electronic therapies for neurological disorders."}]