Intersection cross-cut: otheralgo-arrhythmia-classification

Axes: form_factor × algorithms

3 corpus entries disclose both tags.

Earliest disclosure: 2010-01

These entries are the direct inputs to OBVIOUSNESS_TEMPLATE.md. Any patent claim combining these two elements is anticipated or rendered obvious by the chain below.


Pantelopoulos & Bourbakis (2010) — survey on wearable sensor-based systems for health monitoring and prognosis (2010-01)

  • id: pantelopoulos-bourbakis-2010-wearable-health-survey
  • corpus: academic
  • form factor: other
  • creator: Alexandros Pantelopoulos / Nikolaos G. Bourbakis
  • disclosure: Pantelopoulos A, Bourbakis NG. ‘A survey on wearable sensor-based systems for health monitoring and prognosis.’ IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2010;40(1):1-12.
  • ip status: public-domain
  • sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-accelerometer, sensor-skin-temperature, sensor-respiration-impedance
  • algorithms: algo-hr, algo-arrhythmia-classification, algo-spo2-estimation, algo-fall-detection, algo-activity-classification
  • prior art notes: Surveys, as of 2010, the architecture and components of wearable health-monitoring systems — sensors (ECG, PPG, SpO2, accelerometry, temperature, respiration), garment- and patch- and watch-based form factors, on-body processing, wireless body-area networking, and the analytics (arrhythmia, fall, activity, deterioration prediction). Prior art establishing that the general ‘multi-sensor wearable + body-area network + cloud analytics’ system architecture and its building blocks were collected and published by 2010 — useful against later claims to the bare system architecture. General anchor.

IEEE Std 11073-10406-2011 — personal health device communication: basic electrocardiograph (1- to 3-lead ECG) (2011-12-30)

  • id: ieee-11073-10406-basic-ecg-2011
  • corpus: standards
  • form factor: other
  • creator: IEEE / ISO/IEEE 11073 Personal Health Devices Working Group
  • disclosure: IEEE Std 11073-10406-2011. ‘Health informatics — Personal health device communication — Part 10406: Device specialization — Basic electrocardiograph (ECG) (1- to 3-lead ECG).’ IEEE, 2011.
  • ip status: standards
  • sensors: sensor-ecg
  • algorithms: algo-hr, algo-arrhythmia-classification
  • prior art notes: A publicly-adopted standard defining the device model and data exchange for a personal/consumer 1-to-3-lead electrocardiograph — including reporting of the ECG waveform, derived heart rate, and rhythm/event annotations from a body-worn or handheld single-lead ECG device. Prior art for consumer-single-lead-ECG-wearable claims reciting the device model, lead configuration, or data fields standardized here (public from 2011, predating the Apple Watch / AliveCor consumer-ECG patent wave’s later filings).

AliveCor Heart Monitor / KardiaMobile (2012) — smartphone-coupled single-lead ECG (2012-12)

  • id: alivecor-kardiamobile-2012
  • corpus: private
  • form factor: other
  • creator: AliveCor, Inc. (David Albert)
  • disclosure: AliveCor, Inc. ‘AliveCor Heart Monitor’ (later ‘KardiaMobile’), FDA-cleared December 2012 — a card-sized two-electrode module that records a single-lead ECG via dry electrodes touched by the fingers (or pressed to the chest) and streams it to a smartphone app for AF detection. (The ‘Kardia Band’ wrist-strap ECG accessory for Apple Watch followed in 2017, FDA cleared.)
  • ip status: patented
  • sensors: sensor-ecg
  • algorithms: algo-afib-detection, algo-arrhythmia-classification, algo-hr
  • prior art notes: Discloses a portable two-dry-electrode single-lead ECG recorder that the user contacts with the fingers (or chest) and that streams the trace to a smartphone for automated atrial-fibrillation detection — and, in the 2017 Kardia Band variant, the same dry-electrode single-lead ECG integrated into a wrist strap. Anticipates consumer single-lead-ECG and wrist-strap-ECG AF-detection claims from 2012/2017 — predating the Apple Watch Series 4 ECG (2018). Product-side anchor for the consumer-ECG cross-cut.

Public domain (CC0 1.0). The corpus IS the prior art commons.

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