Micron Technology Incorporated

Gitanjali T Ghosh

Rosa M Avila-Hernandez

Fatma Arzum Simsek-Ege

Debra M Bell

Ji-Hye Gale Shin

Roya Baghi

Rachael R Skreen

Kazuaki Ohara

Jackson N Callaghan

Sue-Fern Ng

Vyjayanthi Prasad

Arunmozhi R Subramaniam

Deepika Thumsi Umesh

Hongmei Wang

Kathryn H Russo

Irene K Thompson

Jessica M Maderos

Yixin Yan

Systems, apparatuses, and methods related to medical device data analysis are described. In some examples, a medical device is implanted in a user of the medical device and the data generated by the medical device is not easily accessible to the user. In an example, a controller can be configured to receive, by a mobile device coupled to a medical device, data from the medical device, where the data is a part of a baseline dataset related to the medical device. The controller can be configured to receive different data from the medical device, where the different data is received from the medical device as the different data is generated by the medical device, analyze the data from the medical device and the different data generated by the medical device, and perform an action based on the analyzed data and the different data generated by the medical device.

Medical device data analysis

Methods, apparatuses, and systems associated with inventory management are described. Examples can include receiving at a processor first signaling from a first sensor device configured to monitor the interior of a first enclosure and receiving at the processor second signaling from a second sensor device configured to monitor the interior of a second enclosure. Examples can include writing from the processor to a storage device coupled to the processor data that is based at least in part on a combination of the first and second signaling, identifying a quantity or amount of at least one item in the first enclosure and at least one item in the second enclosure, and transmitting third signaling when the quantity or amount of the at least one item in the first enclosure or the at least one item in the second enclosure is less than a threshold value.

Inventory management

Memory devices, systems including memory devices, and methods of operating memory devices are described, in which memory devices are configured to monitor degradations in word line characteristics. The memory device may generate a reference signal in response to an access command directed to a memory array including a plurality of word lines, in some embodiments. The memory array may include a victim word line configured to accumulate adverse effects of executing multiple access commands at the word lines of the memory array. When the degradation in the word line characteristics causes reliability issues (e.g., corrupted data), the memory array is deemed unreliable, and may be blocked from memory operations. The memory device may compare the reference signal and a signal from the victim word line to determine whether preventive measures may be appropriate to avoid (or mitigate) such reliability issues.

Semiconductor device with word line degradation monitor and associated methods and systems

An on-die logic analyzer (ODLA) can reduce the time and resources that would otherwise be spent in validating or debugging memory system timings. The ODLA can receive an enable signal with respect to a start command and start a count of clock cycles in response to a first issued command matching the start command defined in a first mode register. The ODLA can stop the count of clock cycles in response to a second issued command matching a stop command defined in a second mode register. The ODLA can write a value indicative of the stopped count to a third mode register or an on-die storage array in response to the stopped count exceeding a previously stored count.

On-die logic analyzer

Growing community of inventors

Boise, ID, United States of America

Gitanjali T Ghosh